Xin Wan
Impact in
- Nephrology top 2%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
-
- Intensive Care Unit Cognitive Disorders
Papers in
-
- RNA regulation and disease 4
- Renal and related cancers 4
- Nephrology 29
- Acute Kidney Injury Research 25
- Chronic Kidney Disease and Diabetes 8
- Co-authors
- Changchun Cao (44 shared papers)Bo Yu (4 shared papers)Shaohong Fang (4 shared papers)Binbin Pan (18 shared papers)Zhenming Zhang (3 shared papers)Chenguang Wang (3 shared papers)Shuo Shen (7 shared papers)Yuqi Huo (5 shared papers)
- Journals
- Renal Failure (4 papers)Blood (3 papers)International Journal of Molecular Medicine (3 papers)International Journal of COPD (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xin Wan
118 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 110
- Nephrology 213
- Critical Care and Intensive Care Medicine 87
- Cancer Research 184
- Biological Psychiatry 24
- Immunology 198
Countries citing papers authored by Xin Wan
This map shows the geographic impact of Xin 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 Xin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Wan more than expected).
Fields of papers citing papers by Xin Wan
This network shows the impact of papers produced by Xin 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 Xin Wan. The network helps show where Xin Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 159 | |
| 2 | 2018 | 90 | |
| 3 | 2021 | 64 | |
| 4 | 2018 | 62 | |
| 5 | 2020 | 50 | |
| 6 | 2011 | 48 | |
| 7 | 2014 | 48 | |
| 8 | 2021 | 41 | |
| 9 | 2013 | 39 | |
| 10 | 2014 | 38 | |
| 11 | 2009 | 36 | |
| 12 | 2015 | 34 | |
| 13 | 2018 | 33 | |
| 14 | 2019 | 33 | |
| 15 | 2020 | 31 | |
| 16 | 2015 | 30 | |
| 17 | 2024 | 29 | |
| 18 | 2016 | 29 | |
| 19 | 2010 | 29 | |
| 20 | 2014 | 28 |
About Xin Wan
Xin Wan is a scholar working on Molecular Biology, Nephrology, Epidemiology, Immunology and Infectious Diseases, having authored 129 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (25 papers), Chronic Kidney Disease and Diabetes (8 papers), Viral gastroenteritis research and epidemiology (8 papers), Animal Virus Infections Studies (7 papers), Lymphoma Diagnosis and Treatment (5 papers), RNA regulation and disease (4 papers), Virus-based gene therapy research (4 papers) and Renal and related cancers (4 papers). The work is most often cited by research in Nephrology (213 citations), Critical Care and Intensive Care Medicine (87 citations), Cancer Research (184 citations), Biological Psychiatry (24 citations) and Immunology (198 citations). Xin Wan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Changchun Cao, Bo Yu, Shaohong Fang, Binbin Pan, Zhenming Zhang, Chenguang Wang, Shuo Shen, Yuqi Huo, Quan Cheng and Xin Chen. Their work appears in journals such as Renal Failure, Blood, International Journal of Molecular Medicine, International Journal of COPD and PLoS ONE.
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.