Xiang-Dong Yan

448 total citations
24 papers, 313 citations indexed

About

Xiang-Dong Yan is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Xiang-Dong Yan has authored 24 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Epidemiology. Recurrent topics in Xiang-Dong Yan's work include Gut microbiota and health (6 papers), Traumatic Brain Injury Research (5 papers) and Cardiac Arrest and Resuscitation (4 papers). Xiang-Dong Yan is often cited by papers focused on Gut microbiota and health (6 papers), Traumatic Brain Injury Research (5 papers) and Cardiac Arrest and Resuscitation (4 papers). Xiang-Dong Yan collaborates with scholars based in China, United States and Russia. Xiang-Dong Yan's co-authors include Imed Helal, Robert W. Schrier, Berenice Reed, Kim McFann, Godela M. Fick-Brosnahan, Melissa A. Cadnapaphornchai, Pamela Mettler, Wei Wang, Ping Qi and Lei Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and The American Journal of Medicine.

In The Last Decade

Xiang-Dong Yan

21 papers receiving 310 citations

Peers

Xiang-Dong Yan
Comparison fields: 5 of 82
  • Genetics 196
  • Molecular Biology 144
  • Nephrology 95
  • Pathology and Forensic Medicine 58
  • Pediatrics, Perinatology and Child Health 46
Replace Montserrat Antón-Gamero with:
Montserrat Antón-Gamero Spain
Yasufumi Ohtsuka Japan
Jonathan Z. Luo United States
Ana Gonzalo Spain
Shaoxing Wu United States
R. Mallmann Germany
Sarar Mohamed Saudi Arabia
Fatma Dursun Türkiye
Michel Colle France
Kyoko Kanda Japan
Montserrat Antón-Gamero Spain View profile →
Citations per field, relative to Xiang-Dong Yan
Xiang-Dong Yan · 1×
Citations per year, relative to Xiang-Dong Yan
Xiang-Dong Yan · 1×

Countries citing papers authored by Xiang-Dong Yan

Since Specialization
Citations

This map shows the geographic impact of Xiang-Dong Yan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiang-Dong Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang-Dong Yan more than expected).

Fields of papers citing papers by Xiang-Dong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiang-Dong Yan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiang-Dong Yan. The network helps show where Xiang-Dong Yan may publish in the future.

Co-authorship network of co-authors of Xiang-Dong Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang-Dong Yan. A scholar is included among the top collaborators of Xiang-Dong Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiang-Dong Yan. Xiang-Dong Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 2
5 0
6 3
7 2
8 13
9 10
10 3
11 5
12 9
13 6
14 14
15 21
16 2
17 49
18 27
19 58
20 15

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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