Dan Wen
Impact in
- Nephrology top 5%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Acute Kidney Injury Research 4
- Chronic Kidney Disease and Diabetes 3
- Co-authors
- Yongxi Chen (3 shared papers)Jianchun Li (4 shared papers)Ruizhi Tan (4 shared papers)Xia Zhong (3 shared papers)Wen Zhang (2 shared papers)Pingyan Shen (3 shared papers)Zongjie Fu (1 shared paper)Hongkun Ma (1 shared paper)
- Journals
- Renal Failure (2 papers)Gene (1 paper)Public Health Nursing (1 paper)Amino Acids (1 paper)Oncogenesis (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Dan Wen
21 papers receiving 325 citations
Peers
Comparison fields: 5 of 80
- Nephrology 112
- Cancer Research 86
- Molecular Biology 160
- Pathology and Forensic Medicine 36
- Pharmacology 17
Countries citing papers authored by Dan Wen
This map shows the geographic impact of Dan Wen'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 Dan Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wen more than expected).
Fields of papers citing papers by Dan Wen
This network shows the impact of papers produced by Dan Wen. 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 Dan Wen. The network helps show where Dan Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Wen, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 69 | |
| 2 | 2017 | 59 | |
| 3 | 2020 | 52 | |
| 4 | 2019 | 37 | |
| 5 | 2020 | 24 | |
| 6 | 2020 | 19 | |
| 7 | 2020 | 16 | |
| 8 | 2016 | 14 | |
| 9 | 2014 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2013 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 2 | |
| 15 | Febuxostat, a nonpurine selective inhibitor of xanthine oxidase: a promising medical therapy for chronic heart failure? | 2010 | 2 |
| 16 | [Effects of Yishen Jiangzhuo Granule on the bone metabolism of patients with stage 3-4 chronic kidney disease and its correlation with the immune indices]. | 2012 | 2 |
| 17 | 2022 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 1 |
About Dan Wen
Dan Wen is a scholar working on Nephrology, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Anesthesiology and Pain Medicine, having authored 31 papers that have together received 330 indexed citations. Recurring topics across this work include Airway Management and Intubation Techniques (4 papers), Acute Kidney Injury Research (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Tracheal and airway disorders (2 papers), Biochemical effects in animals (2 papers), Knee injuries and reconstruction techniques (2 papers), Pressure Ulcer Prevention and Management (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Nephrology (112 citations), Cancer Research (86 citations), Molecular Biology (160 citations), Pathology and Forensic Medicine (36 citations) and Pharmacology (17 citations). Dan Wen has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Yongxi Chen, Jianchun Li, Ruizhi Tan, Xia Zhong, Wen Zhang, Pingyan Shen, Zongjie Fu, Hongkun Ma, Fangfang Zhou and Mingjun Zhang. Their work appears in journals such as Renal Failure, Gene, Public Health Nursing, Amino Acids and Oncogenesis.
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.