Ran Wei
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Immunology top 10%
- Reproductive System and Pregnancy
Papers in
- Immunology 11
- Reproductive System and Pregnancy 7
- Immune cells in cancer 2
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- Circular RNAs in diseases 2
- Co-authors
- Xiaoxiao Zhu (22 shared papers)Qiang Guo (17 shared papers)Yunhong Zhang (16 shared papers)Chu Chu (10 shared papers)Lin Zhao (13 shared papers)Bin Wang (5 shared papers)Xunqiang Yin (11 shared papers)Zhen Zhang (7 shared papers)
- Journals
- Medicine (3 papers)Translational Psychiatry (1 paper)Journal of Leukocyte Biology (1 paper)Oncotarget (1 paper)Journal of Immunology Research (1 paper)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Ran Wei
35 papers receiving 742 citations
Peers
Comparison fields: 5 of 87
- Internal Medicine 60
- Immunology 254
- Obstetrics and Gynecology 71
- Biological Psychiatry 24
- Cancer Research 126
Countries citing papers authored by Ran Wei
This map shows the geographic impact of Ran Wei'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 Ran Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Wei more than expected).
Fields of papers citing papers by Ran Wei
This network shows the impact of papers produced by Ran Wei. 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 Ran Wei. The network helps show where Ran Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran Wei, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 97 | |
| 2 | 2003 | 57 | |
| 3 | 2019 | 56 | |
| 4 | 2020 | 48 | |
| 5 | 2003 | 46 | |
| 6 | 2020 | 45 | |
| 7 | 2020 | 45 | |
| 8 | 2015 | 42 | |
| 9 | 2021 | 41 | |
| 10 | 2018 | 27 | |
| 11 | 2022 | 25 | |
| 12 | Elevated plasma tissue-type plasminogen activator (t-PA) and soluble thrombomodulin in patients suffering from severe acute respiratory syndrome (SARS) as a possible index for prognosis and treatment strategy. | 2005 | 24 |
| 13 | 2017 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2016 | 16 | |
| 16 | 2019 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2018 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2016 | 11 |
About Ran Wei
Ran Wei is a scholar working on Immunology, Molecular Biology, Cancer Research, Obstetrics and Gynecology and Reproductive Medicine, having authored 36 papers that have together received 747 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (7 papers), Pregnancy and preeclampsia studies (5 papers), Endometriosis Research and Treatment (4 papers), MicroRNA in disease regulation (4 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Circular RNAs in diseases (2 papers), Immune cells in cancer (2 papers) and Pregnancy and Medication Impact (2 papers). The work is most often cited by research in Internal Medicine (60 citations), Immunology (254 citations), Obstetrics and Gynecology (71 citations), Biological Psychiatry (24 citations) and Cancer Research (126 citations). Ran Wei has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Xiaoxiao Zhu, Qiang Guo, Yunhong Zhang, Chu Chu, Lin Zhao, Bin Wang, Xunqiang Yin, Zhen Zhang, Xia Li and Qiang Guo. Their work appears in journals such as Medicine, Translational Psychiatry, Journal of Leukocyte Biology, Oncotarget and Journal of Immunology Research.
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.