Jun Wan

4.5k citations
125 papers · 3.1k · 1 hit paper · h-index 33

Impact in

Papers in

Jun Wan

120 papers receiving 3.1k citations

Jun Wan's Hit Papers

Microglia-Mediated Neuroinflammation: A Potential Target for the Treatment of Cardiovascular Diseases 2022 · 311 citations
3110+1+2Years since publication100200300

Peers

Jun Wan
Comparison fields: 5 of 131
  • Sensory Systems 187
  • Cardiology and Cardiovascular Medicine 580
  • Immunology 437
  • Neurology 155
  • Biological Psychiatry 38
Replace Francisco J. Rios with:
Francisco J. Rios United Kingdom
György Losonczy Hungary
Carmine Savoia Italy
Fu‐Ming Shen China
Chi Wai Lau Hong Kong
Mark J. Crabtree United Kingdom
Lajos Markó Germany
Keisuke Ishizawa Japan
Zoltán V. Varga Hungary
Wayne Bond Lau United States
Jun Wan relative to Francisco J. Rios United Kingdom Francisco J. Rios's profile →
Citations per field
00.5×1.5×
Francisco J. Rios · 1×
Citations per year

Countries citing papers authored by Jun Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Wan, 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 Jun Wan Line = papers co-authored together Jun Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Microglia-Mediated Neuroinflammation: A Potential Target for the Treatment of Cardiovascular Diseases
Hit paper breakdown →
2022311
2 201996
3 201595
4 201587
5 202287
6 201883
7 201881
8 201371
9 200968
10 201864
11 201863
12 201761
13 202060
14 202060
15 201759
16 201458
17 202056
18 202052
19 202151
20 202050

About Jun Wan

Jun Wan is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 125 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (13 papers), Cardiac Fibrosis and Remodeling (11 papers), COVID-19 Clinical Research Studies (10 papers), Atherosclerosis and Cardiovascular Diseases (9 papers), Chemotherapy-induced cardiotoxicity and mitigation (8 papers), Cardiovascular Function and Risk Factors (7 papers), Long-Term Effects of COVID-19 (6 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Sensory Systems (187 citations), Cardiology and Cardiovascular Medicine (580 citations), Immunology (437 citations), Neurology (155 citations) and Biological Psychiatry (38 citations). Jun Wan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Menglong Wang, Jishou Zhang, Yao Xu, Zhen Wang, Di Ye, Wei Pan, Mengmeng Zhao, Jianfang Liu, Huimin Jiang and Hong Jiang. Their work appears in journals such as Clinica Chimica Acta, Frontiers in Pharmacology, Biochemical Pharmacology, Frontiers in Cardiovascular Medicine and EBioMedicine.

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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