Jingyan Wang

110 papers receiving 1.6k citations

Peers

Jingyan Wang
Comparison fields: 5 of 121
  • Internal Medicine 81
  • Genetics 202
  • Hepatology 107
  • Cancer Research 176
  • Cardiology and Cardiovascular Medicine 215
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Nicolas von Ahsen Germany
Young‐A Heo New Zealand
Da Huang China
Thomas Perkmann Austria
Hongwu Wang China
Wei Wei Liu China
Giulia Benedetti Italy
Jun Oh Germany
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Roland M. Schmid Germany
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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 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017191
2 2020105
3
Exosomes derived from human umbilical cord mesenchymal stem cells alleviate inflammatory bowel disease in mice through ubiquitination.
201865
4
MSC: immunoregulatory effects, roles on neutrophils and evolving clinical potentials.
201964
5 201859
6 201958
7 201853
8 202045
9 199545
10 200342
11 199940
12 201840
13 202033
14 200230
15 201829
16 202029
17 200826
18 202126
19 201924
20 200723

About Jingyan Wang

Jingyan Wang is a scholar working on Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, Surgery and Hepatology, having authored 119 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Peripheral Artery Disease Management (6 papers), Malaria Research and Control (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Hepatitis B Virus Studies (5 papers), MicroRNA in disease regulation (5 papers), Mesenchymal stem cell research (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Internal Medicine (81 citations), Genetics (202 citations), Hepatology (107 citations), Cancer Research (176 citations) and Cardiology and Cardiovascular Medicine (215 citations). Jingyan Wang has collaborated with scholars based in China, United States and Ghana. Frequent co-authors include Fei Mao, Wenrong Xu, Hui Qian, Yongmin Yan, Xu Zhang, Kensey Gosch, Dickson Kofi Wiredu Ocansey, Paul S. Chan, Henry H. Ting and Nilay D. Shah. Their work appears in journals such as Circulation Cardiovascular Quality and Outcomes, Frontiers in Cellular and Infection Microbiology, Journal of Molecular Modeling, Antimicrobial Agents and Chemotherapy 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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