Jingyan Wang

110 papers receiving 1.6k citations

Peers

Jingyan Wang
Comparison fields: 5 of 112
  • Genetics 180
  • Cancer Research 143
  • Hepatology 72
  • Internal Medicine 29
  • Cardiology and Cardiovascular Medicine 172
Replace Nicolas von Ahsen with:
Nicolas von Ahsen Germany
Da Huang China
Jun Oh Germany
Hongwu Wang China
Thomas Perkmann Austria
Young‐A Heo New Zealand
Karen E. Welty‐Wolf United States
Robert F. Ritchie United States
Margaret H.L. Ng Hong Kong
Roger S. Thrall United States
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Citations per field
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Citations per year

Countries citing papers authored by Jingyan Wang

Since Specialization
Citations

This map shows the geographic impact of Jingyan Wang'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 Jingyan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingyan Wang more than expected).

Fields of papers citing papers by Jingyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jingyan Wang. 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 Jingyan Wang. The network helps show where Jingyan Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Jingyan Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jingyan Wang Line = papers co-authored together Jingyan Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017193
2 2020108
3
Exosomes derived from human umbilical cord mesenchymal stem cells alleviate inflammatory bowel disease in mice through ubiquitination.
201866
4
MSC: immunoregulatory effects, roles on neutrophils and evolving clinical potentials.
201964
5 201861
6 201958
7 201854
8 201845
9 199545
10 202045
11 200342
12 199940
13 202035
14 201831
15 200230
16 202030
17 200828
18 202127
19 202225
20 201924

About Jingyan Wang

Jingyan Wang is a scholar working on Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, Hepatology and Genetics, having authored 120 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Malaria Research and Control (5 papers), Peripheral Artery Disease Management (5 papers), Trace Elements in Health (5 papers), Mesenchymal stem cell research (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Genetics (180 citations), Cancer Research (143 citations), Hepatology (72 citations), Internal Medicine (29 citations) and Cardiology and Cardiovascular Medicine (172 citations). Jingyan Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Fei Mao, Wenrong Xu, Hui Qian, Xu Zhang, Yongmin Yan, Dickson Kofi Wiredu Ocansey, Kensey Gosch, Paul S. Chan, Henry H. Ting and Thomas M. Maddox. Their work appears in journals such as Animals, Journal of Molecular Modeling, Antimicrobial Agents and Chemotherapy, International Journal of Speech-Language Pathology and Journal of Clinical Oncology.

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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