Jun Wan
Impact in
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- Venous Thromboembolism Diagnosis and Management
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- Blood Coagulation and Thrombosis Mechanisms
Papers in
- Hematology 12
- Blood Coagulation and Thrombosis Mechanisms 8
- Hemophilia Treatment and Research 5
- Platelet Disorders and Treatments 5
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- Advanced biosensing and bioanalysis techniques 7
- RNA Interference and Gene Delivery 4
- Co-authors
- Kemin Wang (6 shared papers)Qiuping Guo (6 shared papers)Qin Xie (5 shared papers)Baoyin Yuan (5 shared papers)Mark Roest (10 shared papers)Yuyu Tan (4 shared papers)Zhixiang Huang (3 shared papers)Bas de Laat (7 shared papers)
- Journals
- Blood Advances (3 papers)Journal of Thrombosis and Haemostasis (3 papers)Medicine (3 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Jun Wan
43 papers receiving 464 citations
Peers
Comparison fields: 5 of 95
- Internal Medicine 26
- Hematology 65
- Hepatology 44
- Genetics 39
- Molecular Biology 202
Countries citing papers authored by Jun Wan
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
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.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 46 | |
| 2 | 2021 | 45 | |
| 3 | 2016 | 31 | |
| 4 | 2017 | 29 | |
| 5 | 2017 | 29 | |
| 6 | 2020 | 26 | |
| 7 | 2014 | 23 | |
| 8 | 2020 | 18 | |
| 9 | 2013 | 18 | |
| 10 | 2015 | 18 | |
| 11 | 2023 | 17 | |
| 12 | 2021 | 16 | |
| 13 | 2022 | 15 | |
| 14 | 2019 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2011 | 9 | |
| 18 | 2009 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 7 |
About Jun Wan
Jun Wan is a scholar working on Hematology, Molecular Biology, Genetics, Neurology and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 469 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Intracranial Aneurysms: Treatment and Complications (5 papers), Hemophilia Treatment and Research (5 papers), Platelet Disorders and Treatments (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Internal Medicine (26 citations), Hematology (65 citations), Hepatology (44 citations), Genetics (39 citations) and Molecular Biology (202 citations). Jun Wan has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Kemin Wang, Qiuping Guo, Qin Xie, Baoyin Yuan, Mark Roest, Yuyu Tan, Zhixiang Huang, Bas de Laat, Xiangxian Meng and Lie Li. Their work appears in journals such as Blood Advances, Journal of Thrombosis and Haemostasis, Medicine, PLoS ONE and Scientific Reports.
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.