Ping Wen
Impact in
- Nephrology top 1%
- Chronic Kidney Disease and Diabetes
- Gout, Hyperuricemia, Uric Acid
- Parathyroid Disorders and Treatments
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Renal and related cancers 4
- Nephrology 11
- Acute Kidney Injury Research 4
- Chronic Kidney Disease and Diabetes 3
- Co-authors
- Junwei Yang (26 shared papers)Lei Jiang (19 shared papers)Weichun He (10 shared papers)Chunsun Dai (13 shared papers)Li Fang (7 shared papers)Yang Zhou (5 shared papers)Hongdi Cao (14 shared papers)William J. Rutter (2 shared papers)
- Journals
- American Journal of Physiology-Renal Physiology (4 papers)PLoS ONE (4 papers)Experimental Cell Research (3 papers)Kidney International (3 papers)Cell Death and Disease (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ping Wen
57 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 107
- Nephrology 558
- Cancer Research 397
- Clinical Biochemistry 97
- Molecular Biology 986
- Geriatrics and Gerontology 44
Countries citing papers authored by Ping Wen
This map shows the geographic impact of Ping 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 Ping Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Wen more than expected).
Fields of papers citing papers by Ping Wen
This network shows the impact of papers produced by Ping 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 Ping Wen. The network helps show where Ping Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 232 | |
| 2 | 2013 | 204 | |
| 3 | 2016 | 195 | |
| 4 | 2012 | 172 | |
| 5 | 1993 | 145 | |
| 6 | 2020 | 142 | |
| 7 | 2010 | 104 | |
| 8 | 2021 | 91 | |
| 9 | 2013 | 81 | |
| 10 | 2013 | 76 | |
| 11 | 2013 | 63 | |
| 12 | 2009 | 62 | |
| 13 | 2014 | 60 | |
| 14 | 2020 | 50 | |
| 15 | 1998 | 48 | |
| 16 | 2018 | 46 | |
| 17 | 2020 | 41 | |
| 18 | 1991 | 40 | |
| 19 | 2016 | 40 | |
| 20 | 2013 | 34 |
About Ping Wen
Ping Wen is a scholar working on Molecular Biology, Nephrology, Surgery, Genetics and Pediatrics, Perinatology and Child Health, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (5 papers), Renal and related cancers (4 papers), Prenatal Screening and Diagnostics (4 papers), Acute Kidney Injury Research (4 papers), Birth, Development, and Health (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Adipose Tissue and Metabolism (3 papers) and Genetic and Kidney Cyst Diseases (3 papers). The work is most often cited by research in Nephrology (558 citations), Cancer Research (397 citations), Clinical Biochemistry (97 citations), Molecular Biology (986 citations) and Geriatrics and Gerontology (44 citations). Ping Wen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Junwei Yang, Lei Jiang, Weichun He, Chunsun Dai, Li Fang, Yang Zhou, Hongdi Cao, William J. Rutter, Mingxia Xiong and Joseph Locker. Their work appears in journals such as American Journal of Physiology-Renal Physiology, PLoS ONE, Experimental Cell Research, Kidney International and Cell Death and Disease.
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.