Ping Wen
Impact in
- Nephrology top 1%
- Chronic Kidney Disease and Diabetes
- Gout, Hyperuricemia, Uric Acid
- Renal Diseases and Glomerulopathies
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Mitochondrial Function and Pathology 4
- Renal and related cancers 4
- Surgery 14
- Pancreatitis Pathology and Treatment 6
- Co-authors
- Junwei Yang (27 shared papers)Lei Jiang (20 shared papers)Weichun He (11 shared papers)Li Fang (8 shared papers)Chunsun Dai (13 shared papers)Yang Zhou (6 shared papers)Hongdi Cao (14 shared papers)Mingxia Xiong (7 shared papers)
- Journals
- American Journal of Physiology-Renal Physiology (5 papers)PLoS ONE (4 papers)Journal of Biological Chemistry (3 papers)Cell Death and Disease (3 papers)Kidney International (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ping Wen
58 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 109
- Nephrology 644
- Cancer Research 451
- Clinical Biochemistry 120
- Molecular Biology 1.1k
- Hepatology 95
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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 227 | |
| 2 | 2013 | 199 | |
| 3 | 2016 | 189 | |
| 4 | 2012 | 168 | |
| 5 | 2020 | 140 | |
| 6 | 1993 | 133 | |
| 7 | 2010 | 103 | |
| 8 | 2021 | 86 | |
| 9 | 2013 | 80 | |
| 10 | 2013 | 73 | |
| 11 | 2009 | 62 | |
| 12 | 2013 | 61 | |
| 13 | 2014 | 60 | |
| 14 | 2010 | 56 | |
| 15 | 2020 | 49 | |
| 16 | 1998 | 48 | |
| 17 | 2018 | 46 | |
| 18 | 1991 | 40 | |
| 19 | 2016 | 39 | |
| 20 | 2013 | 34 |
About Ping Wen
Ping Wen is a scholar working on Molecular Biology, Surgery, Nephrology, Genetics and Pediatrics, Perinatology and Child Health, having authored 58 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (6 papers), MicroRNA in disease regulation (5 papers), Genetic and Kidney Cyst Diseases (4 papers), Mitochondrial Function and Pathology (4 papers), Renal and related cancers (4 papers), Prenatal Screening and Diagnostics (4 papers), Acute Kidney Injury Research (4 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Nephrology (644 citations), Cancer Research (451 citations), Clinical Biochemistry (120 citations), Molecular Biology (1.1k citations) and Hepatology (95 citations). Ping Wen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Junwei Yang, Lei Jiang, Weichun He, Li Fang, Chunsun Dai, Yang Zhou, Hongdi Cao, Mingxia Xiong, William J. Rutter and Joseph Locker. Their work appears in journals such as American Journal of Physiology-Renal Physiology, PLoS ONE, Journal of Biological Chemistry, Cell Death and Disease and Kidney International.
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.