| Literature DB >> 36250094 |
Tai Zhang1,2,3, Beihua Zhang1,2,3, Wende Tian1,4, Yuchen Wei1,2,3, Fengyun Wang1,2,3, Xiaolan Yin1,2,3, Xiuxiu Wei1,2,3, Jiali Liu1,2,3, Xudong Tang3.
Abstract
Background: Gastroesophageal reflux disease (GERD), a disorder resulting from the retrograde flow of gastric contents into the esophagus, affects an estimated 10-30% of the Western population, which is characterized by multifactorial pathogenesis. Over the past few decades, there have been many aspects of uncertainty regarding GERD leading to an ongoing interest in the field as reflected by a large number of publications, whose heterogeneity and variable quality may present a challenge for researchers to measure their scientific impact, identify scientific collaborations, and to grasp actively researched themes in the GERD field. Accordingly, we aim to evaluate the knowledge structure, evolution of research themes, and emerging topics of GERD research between 2012 and 2022 with the help of bibliometric approaches.Entities:
Keywords: CiteSpace; VOSviewer; bibliometrics; gastroesophageal reflux disease; trends
Year: 2022 PMID: 36250094 PMCID: PMC9556905 DOI: 10.3389/fmed.2022.994534
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
FIGURE 1The number of articles published annually in GERD research.
The top 10 countries or regions and institutions involved in GERD research.
| Rank | Country | Centrality | Count (% of 8,964) | Rank | Institutions | Centrality | Count (% of 8,964) |
| 1 | The USA | 0.08 | 3,204 (35.74) | 1 | Mayo Clin (the USA) | 0.07 | 201 (2.24) |
| 2 | China | 0.05 | 807 (9.00) | 2 | Northwestern Univ (the USA) | 0.1 | 175 (1.95) |
| 3 | Japan | 0.02 | 801 (8.94) | 3 | Univ Padua (Italy) | 0.12 | 135 (1.51) |
| 4 | Italy | 0.02 | 785 (8.76) | 4 | Univ N Carolina (the USA) | 0.08 | 129 (1.44) |
| 5 | England | 0.24 | 696 (7.76) | 5 | Karolinska Inst (Sweden) | 0.04 | 109 (1.22) |
| 6 | Australia | 0.03 | 398 (4.44) | 6 | Univ Milan (Italy) | 0.05 | 105 (1.17) |
| 7 | South Korea | 0.04 | 380 (4.24) | 7 | Univ Washington (the USA) | 0.16 | 102 (1.14) |
| 8 | France | 0.2 | 348 (3.88) | 8 | Baylor Coll Med (the USA) | 0.04 | 100 (1.12) |
| 9 | Germany | 0.11 | 331 (3.69) | 9 | Kings Coll London (England) | 0.04 | 97 (1.08) |
| 10 | Canada | 0.17 | 311 (3.47) | 10 | Univ Michigan (the USA) | 0.02 | 94 (1.05) |
FIGURE 2Network of countries and regions engaged in GERD research. In the network map, a node represents a country or region. The larger the area of the node is, the larger the number of publications. The thicker the curved line connecting nodes indicates the frequency with which they co-occur, as they indicate collaborative relationships. An isolated node without any connection is devoid of all collaboration. A node with a high betweenness centrality links two or more large groups of nodes. A node with a high betweenness centrality score exerts a strong influence on the network. A purple trim indicates a high degree of betweenness centrality. Red tree rings indicate bursts of citation. The greater the thickness of the red tree rings, the greater the bursts for the corresponding node.
FIGURE 3Network of institutions engaged in GERD research. In the network map, a node represents an institution. The volume of each node (institution) corresponds to the number of publications, and connecting lines between nodes indicate bidirectional relationships between the institutions; the thickness of the line indicates the strength of the bidirectional collaborative relationships. Isolated institutions lack any collaboration. A node with a high betweenness centrality links two or more large groups of nodes. A node with a high betweenness centrality score exerts a strong influence on the network. A purple trim indicates a high betweenness centrality. Red tree rings indicate bursts of citation. The greater the thickness of the red tree rings, the greater the bursts for the corresponding node.
The top 10 authors in GERD research.
| Rank | Author | Count (% of 8,964) | Centrality |
| 1 | EDOARDO SAVARINO (Italy) | 86 (0.96) | 0.03 |
| 2 | DANIEL SIFRIM (England) | 55 (0.61) | 0.1 |
| 3 | MARCO G PATTI (the USA) | 54 (0.60) | 0.04 |
| 4 | C PRAKASH GYAWALI (the USA) | 53 (0.59) | 0.22 |
| 4 | JESPER LAGERGREN (Sweden) | 53 (0.59) | 0.05 |
| 5 | NICHOLAS J SHAHEEN (the USA) | 52 (0.58) | 0.19 |
| 5 | JOHN E PANDOLFINO (the USA) | 52 (0.58) | 0.1 |
| 6 | YOSHIKAZU KINOSHITA (Japan) | 50 (0.56) | 0.07 |
| 7 | RONNIE FASS (the USA) | 49 (0.55) | 0.03 |
| 7 | VINCENZO SAVARINO (Italy) | 49 (0.55) | 0.03 |
| 8 | MICHAEL F VAEZI (the USA) | 44 (0.49) | 0.06 |
| 8 | PETER J KAHRILAS (the USA) | 44 (0.49) | 0.19 |
| 9 | NICOLA DE BORTOLI (Italy) | 42 (0.47) | 0.02 |
| 10 | HIROTO MIWA (Japan) | 38 (0.42) | 0.04 |
FIGURE 4Network of authors in GERD research. In the network map, a node represents an author. The volume of each node (author) corresponds to the number of publications, and connecting lines between nodes indicate bidirectional relationships between the authors; the thickness of the line indicates the strength of the bidirectional collaborative relationships. Isolated authors lack any collaboration. A node with a high betweenness centrality links two or more large groups of nodes. A node with a high betweenness centrality score exerts a strong influence on the network. A purple trim indicates a high betweenness centrality. Red tree rings indicate bursts of citation. The greater the thickness of the red tree rings, the greater the bursts for the corresponding node.
FIGURE 5Map of keyword clustering with a minimum of 10 occurrences in GERD research. Minimum number of occurrence of a keyword = 10, minimum links strength = 10. There are 6 clusters of keywords.
FIGURE 6Timeline view of co-occurring keywords map in GERD research. The year placed at the top of the view corresponds to the earliest year when each keyword appeared. Each node represents a keyword. The links represent the co-occurrence of keywords and the colors represent the average year of publication for each node. Each cross corresponds to the bursts of keyword co-occurrence.
FIGURE 7Top 25 keywords with strong citation bursts in GERD research. A blue bar represents the period from 2012 to 2022, whereas red line segments represent the time slices during which keyword bursts occur, i.e., rapid increases in citation counts.