Wen Si
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Chronic Kidney Disease and Diabetes
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Inflammasome and immune disorders 5
- Heme Oxygenase-1 and Carbon Monoxide 3
-
- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 3
- Breast Cancer Treatment Studies 3
- Co-authors
- Qiuling Fan (4 shared papers)Lulu Li (2 shared papers)Shuguang Yuan (4 shared papers)Hong Liu (4 shared papers)Junlan Yang (5 shared papers)Yanyun Zhu (5 shared papers)Xuejing Zhu (3 shared papers)Xin Li (3 shared papers)
- Journals
- Medicine (2 papers)Diabetes Metabolic Syndrome and Obesity (2 papers)Tumor Biology (2 papers)Organic Chemistry Frontiers (1 paper)Cell Death Discovery (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Wen Si
42 papers receiving 730 citations
Peers
Comparison fields: 5 of 107
- Nephrology 155
- Cancer Research 147
- Immunology 126
- Molecular Biology 389
- Oncology 122
Countries citing papers authored by Wen Si
This map shows the geographic impact of Wen Si'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 Wen Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Si more than expected).
Fields of papers citing papers by Wen Si
This network shows the impact of papers produced by Wen Si. 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 Wen Si. The network helps show where Wen Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen Si, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 145 | |
| 2 | 2016 | 65 | |
| 3 | 2020 | 58 | |
| 4 | 2021 | 55 | |
| 5 | 2020 | 37 | |
| 6 | 2020 | 36 | |
| 7 | 2016 | 33 | |
| 8 | IFN-γ, CXCL16, uPAR: potential biomarkers for systemic lupus erythematosus. | 2018 | 30 |
| 9 | 2015 | 26 | |
| 10 | 2020 | 24 | |
| 11 | 2024 | 23 | |
| 12 | 2020 | 20 | |
| 13 | 2022 | 19 | |
| 14 | 2017 | 18 | |
| 15 | 2014 | 16 | |
| 16 | 2010 | 16 | |
| 17 | 2008 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2015 | 9 | |
| 20 | 2016 | 9 |
About Wen Si
Wen Si is a scholar working on Molecular Biology, Cancer Research, Oncology, Nephrology and Organic Chemistry, having authored 44 papers that have together received 736 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Inflammasome and immune disorders (5 papers), Gout, Hyperuricemia, Uric Acid (3 papers), MicroRNA in disease regulation (3 papers), Breast Cancer Treatment Studies (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Chronic Kidney Disease and Diabetes (3 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Nephrology (155 citations), Cancer Research (147 citations), Immunology (126 citations), Molecular Biology (389 citations) and Oncology (122 citations). Wen Si has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qiuling Fan, Lulu Li, Shuguang Yuan, Hong Liu, Junlan Yang, Yanyun Zhu, Xuejing Zhu, Xin Li, Youliang Wang and Fuyou Liu. Their work appears in journals such as Medicine, Diabetes Metabolic Syndrome and Obesity, Tumor Biology, Organic Chemistry Frontiers and Cell Death Discovery.
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.