| Literature DB >> 35721090 |
Kaili Yang1, Liyan Xu1, Shaopei Wang1, Meng Zhu1, Qi Fan1, Yuwei Gu1, Yawen Wang1, Qing Wang1, Dongqing Zhao1, Chenjiu Pang1, Shengwei Ren1.
Abstract
Background: Highly cited papers are expected to have high-quality data that significantly contribute to the body of knowledge. The study aimed to evaluate the characters of the 100 most-cited articles on corneal cross-linking (CXL) through a bibliometric analysis. Materials andEntities:
Keywords: 100 most-cited; VOSviewer; bibliometric analysis; citation; corneal cross-linking
Year: 2022 PMID: 35721090 PMCID: PMC9199002 DOI: 10.3389/fmed.2022.904077
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Citations comparisons according to type of article, median (P25, P75).
| Parameter | Total ( | Basic research ( | Clinical research ( | Review ( |
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| Total citation | 101.00 (81.00, 143.25) | 117.50 (84.25, 165.00) | 96.00 (77.50, 134.00) | 117.00 (81.00, 138.00) | 0.458 | - | - | - |
| Citation/year since publication | 11.92 (8.91, 15.92) | 12.25 (9.94, 16.67) | 11.67 (8.43, 15.46) | 13.00 (9.20, 20.00) | 0.761 | - | - | - |
| Citation since 2013 | 11.00 (6.00, 118.75) | 15.50 (11.00, 25.00) | 8.00 (4.00, 12.50) | 25.00 (15.00, 58.00) | <0.001 | <0.001 | 0.639 | <0.001 |
P*, Kruskal-Wallis Test; P
FIGURE 1Publication and citation according to published year. (A) total number of publication; (B) total number of publication per type of article; (C) total number of citation; (D) total number of citation per type of article; (E) citation/year since publication; (F) citation/year since publication per type of article; (G) citation since 2013; and (H) citation since 2013 per type of article.
FIGURE 2Journals of the 100 most-cited articles were published. (A) total; (B) basic research; (C) clinical research; and (D) review.
FIGURE 3Country distributions of the 100 most-cited papers. (A) The collaboration networks of all authors country, and (B) corresponding author country.
The top 10 authors of collaboration networks according to the number of documents.
| ID | Author | Label x | Label y | Documents | Links | Total link strength | Citations | Avg. citations |
| 1 | Spoerl Eberhard | 0.2072 | –0.0134 | 15 | 300 | 1,613 | 4,477 | 298.47 |
| 2 | Seiler Theo | 0.1874 | 0.0813 | 13 | 301 | 1,720 | 4,689 | 360.69 |
| 3 | Wollensak Gregor | 0.0841 | 0.1186 | 11 | 289 | 1,316 | 3,649 | 331.73 |
| 4 | Hafezi Farhad | 0.5579 | –0.0277 | 10 | 191 | 526 | 1,244 | 124.4 |
| 5 | Vinciguerra Paolo | –0.3051 | 0.0999 | 8 | 195 | 502 | 924 | 115.5 |
| 6 | Baiocchi Stefano | –0.4929 | –0.0757 | 6 | 199 | 632 | 1,368 | 228 |
| 7 | Caporossi Aldo | –0.5939 | –0.1982 | 6 | 199 | 632 | 1,368 | 228 |
| 8 | Kymionis George d | –0.5527 | 0.6799 | 6 | 91 | 245 | 531 | 88.5 |
| 9 | Trazza Silvia | –0.2524 | 0.1966 | 6 | 171 | 408 | 756 | 126 |
| 10 | Albe, Elena | –0.0264 | 0.181 | 5 | 164 | 359 | 664 | 132.8 |
FIGURE 4The co-occurrence network of keywords. The node represents the keyword, and its size is associated with the occurrence counts of the keyword. The link between two nodes means the co-occurrence of the two keywords.