| Literature DB >> 35719682 |
Haiyuan Qiu1, Rong Guo2, Yuanwen Zhang3, Jianghui Ying2, Yazhou Yan4, Jiachao Xiong2.
Abstract
Background: Diabetes mellitus (DM) is a metabolic disease that endangers human health, and its prevalence is exploding and younger. Stem cell-derived extracellular vesicles (SC-EVs) have a repair function similar to SCs and no risk of tumor formation, which have been widely used in the repair of DM and its complications. We aim to map the hot trends of SC-EVs for the treatment of DM and providing directions for future research.Entities:
Keywords: bibliometric analysis; diabetes mellitus; extracellular vesicles; hotspot; stem cells
Mesh:
Year: 2022 PMID: 35719682 PMCID: PMC9201211 DOI: 10.3389/fpubh.2022.868440
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1Flow chart of the screening process for research on stem cell-derived extracellular vesicles (SC-EVs) for diabetes.
Figure 2Articles related to SC-EVs for diabetes published worldwide. (A) Annual publications and citations worldwide of SC-EVs for diabetes. (B) Network visualization of the country distribution of articles based on VOSviewer. The size of the circles signifies the number of publications, and the width of the connecting line between the two circles signifies the intensity of collaboration. (C) Density map of the country distribution of articles based on VOSviewer. (D) Chronological order of countries based on VOSviewer.
The top 10 countries that contributed publications on stem cell-derived extracellular vesicles (SC-EVs) for diabetes.
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| Peoples R China | 122 | 2,759 | 22.61 |
| Usa | 50 | 1,167 | 23.34 |
| Italy | 16 | 366 | 22.88 |
| Japan | 14 | 219 | 15.64 |
| India | 11 | 167 | 15.18 |
| Iran | 10 | 299 | 29.90 |
| South Korea | 8 | 166 | 20.75 |
| Egypt | 8 | 127 | 15.88 |
| Spain | 7 | 159 | 22.71 |
| Canada | 6 | 42 | 7.00 |
The top 20 institutions with the most publications in the field of SC-EVs for diabetes.
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| Turin University | 8 | 181 | 22.63 |
| Central South University | 7 | 41 | 5.86 |
| Shanghai Jiaotong University | 7 | 306 | 43.71 |
| Sun Yat Sen University | 7 | 117 | 16.71 |
| Tianjin Medical University | 7 | 114 | 16.29 |
| Cairo University | 6 | 126 | 21.00 |
| Tongji University | 5 | 173 | 34.60 |
| Zhejiang University | 5 | 205 | 41.00 |
| Southern Medical University | 5 | 74 | 14.80 |
| Indian Inst Technol Kanpur | 5 | 71 | 14.20 |
| Harbin Medical University | 5 | 69 | 13.80 |
| Nantong University | 5 | 48 | 9.60 |
| Jinan University | 5 | 43 | 8.60 |
| Maryland University | 4 | 70 | 17.50 |
| Harvard Medical School | 4 | 63 | 15.75 |
| Peking University | 4 | 36 | 9.00 |
| Fourth Military Medical | 4 | 28 | 7.00 |
| University | |||
| Huazhong University of | 4 | 14 | 3.50 |
| Science and Technology | |||
| Cent S University | 4 | 242 | 60.50 |
| Shangdong University | 4 | 239 | 59.75 |
Figure 3Articles on SC-EVs for diabetes published in different institutions and journals. (A) Collaboration between institutions based on VOSviewer. (B) The top 20 journals produced the largest number of articles. (C) Density map of article reference distribution based on VOSviewer. (D) Network visualization of article reference distribution based on VOSviewer.
Impact index of the top 10 journals with the largest number of articles.
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| Stem Cell Research & Therapy | 6.832 | 76 | 76 |
| International Journal of | 4.556 | 98 | 162 |
| Molecular Sciences | |||
| Frontiers In Endocrinology | 5.555 | No records | 68 |
| Cells | 6.6 | No records | 22 |
| Scientific Reports | 3.998 | 100 | 213 |
| Stem Cell Reviews and Reports | 5.739 | 73 | 73 |
| Stem Cells and Development | 3.272 | 91 | 114 |
| Life Sciences | 5.037 | 89 | 164 |
| Acs Nano | 15.881 | 100 | 382 |
| Frontiers in Cell and | 6.684 | No records | 53 |
| Developmental Biology |
The top authors in the field of SC-EVs for diabetes ranked by publication and citation numbers.
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| Top publications (n ≥ 4) | Ashok Kumar | India | Indian Institute of Technology Kanpur | 5 | 71 |
| Giovanni Camussi | Italy | University of Turin | 4 | 99 | |
| Fang Liu | China | Shanghai Jiao Tong University Affiliated Sixth People's Hospital | 4 | 92 | |
| Dina Sabry | Egypt | Cairo University | 4 | 86 | |
| Anamika Singh | India | Indian Institute of Technology Kanpur | 4 | 70 | |
| Chiara Gai | Italy | University of Turin | 4 | 63 | |
| Wei Wang | China | Central South University | 4 | 43 | |
| Xiao Lin | China | Central South University | 4 | 25 | |
| Yi Wang | China | Central South University | 4 | 25 | |
| Top Citations (n ≥ 300) | Qing Li | China | Chinese Academy of Sciences | 2 | 307 |
| Weiyang Gao | China | Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University | 2 | 303 | |
| Bo lei | China | Xi'an Jiaotong University | 2 | 303 | |
| Cai lin | China | First Affiliated Hospital of Wenzhou Medical University | 2 | 303 | |
| Cong Mao | China | Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University | 2 | 303 | |
| Chenggui Wang | China | Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University | 2 | 303 | |
| Min Wang | China | Xi'an Jiaotong University | 2 | 303 | |
| Tianzhen Xu | China | Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University | 2 | 303 | |
| Xingxing Zhang | China | First Affiliated Hospital of Wenzhou Medical University | 2 | 303 | |
| Ying Wang | China | Chinese Academy of Sciences | 3 | 301 |
Figure 4Mapping of references in studies on SC-EVs for diabetes. (A) A simplified co-citation network of references on SC-EVs for diabetes based on CiteSpace, and burst references are represented by red nodes. (B) The top 25 references with the strongest citation bursts based on CiteSpace. (C) Title clustering analysis of the co-citation network based on CiteSpace. (D) Timeline visualization of references from 2012 to 2020.
The top 10 references with the most citations in the field of SC-EVs for diabetes.
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| Immunoregulatory Mechanisms of Mesenchymal Stem and Stromal Cells in Inflammatory Diseases | Ying Wang | NATURE REVIEWS NEPHROLOGY | 28.314 | 2018 | 281 | Review |
| Exosomes From Adipose-Derived Stem Cells (SCs) Attenuate Adipose Inflammation and Obesity Through Polarizing M2 Macrophages and Beiging in White Adipose Tissue | Qun Wang | DIABETES | 9.461 | 2018 | 213 | |
| Engineering Bioactive Self-Healing Antibacterial Exosomes Hydrogel for Promoting Chronic Diabetic Wound Healing and Complete Skin Regeneration | Cong Mao | THERANOSTICS | 11.556 | 2019 | 198 | |
| Chitosan Wound Dressings Incorporating Exosomes Derived from MicroRNA-126-Overexpressing Synovium Mesenchymal SCs Provide Sustained Release of Exosomes and Heal Full-Thickness Skin Defects in a Diabetic Rat Model | ChangQing Zhang | STEM CELLS TRANSLATIONAL MEDICINE | 6.94 | 2017 | 147 | |
| Exosomal DMBT1 from human urine-derived SCs facilitates diabetic wound repair by promoting angiogenesis | Hui Xie | THERANOSTICS | 11.556 | 2018 | 135 | |
| MSC-derived Extracellular Vesicles Attenuate Immune Responses in Two Autoimmune Murine Models: Type 1 Diabetes and Uveoretinitis | Ryang Hwa Lee | STEM CELL REPORTS | 7.765 | 2017 | 131 | |
| Human Mesenchymal SC-Derived Exosomes Alleviate Type 2 Diabetes Mellitus by Reversing Peripheral Insulin Resistance and Relieving beta-Cell Destruction | Hui Qian | ACS NANO | 15.881 | 2018 | 127 | |
| Exosomes from adipose-derived SCs overexpressing Nrf2 accelerate cutaneous wound healing by promoting vascularization in a diabetic foot ulcer rat model | Maoquan Li | EXPERIMENTAL AND MOLECULAR MEDICINE | 8.718 | 2018 | 124 | |
| Efficient Angiogenesis-Based Diabetic Wound Healing/Skin Reconstruction through Bioactive Antibacterial Adhesive Ultraviolet Shielding Nanodressing with Exosome Release | Bo Lei | ACS NANO | 15.881 | 2019 | 105 | |
| GMSC-Derived Exosomes Combined with a Chitosan/Silk Hydrogel Sponge Accelerates Wound Healing in a Diabetic Rat Skin Defect Model | Ximin Guo | FRONTIERS IN PHYSIOLOGY | 4.566 | 2017 | 92 |
Figure 5Keyword mapping in studies on SC-EVs for diabetes. (A) Clustering analysis of key words based on VOSviewer. (B) Network visualization of keywords based on VOSviewer. (C) Chronological order of keywords based on VOSviewer. (D) The top 20 keywords with the strongest citation bursts based on CiteSpace. (E) Keyword timeline visualization from 2017 to 2021.