Shuyu Ren
- Nephrology top 1%
- Renal Diseases and Glomerulopathies 4
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms 5
- Cancer Research top 5%
- MicroRNA in disease regulation 4
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Molecular Biology top 5%
- Sphingolipid Metabolism and Signaling 7
- Renal and related cancers 7
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- Biomedical Research and Pathophysiology 4
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- Adenosine and Purinergic Signaling 4
- Co-authors
- Jeremy S. DuffieldAndrea HuwilerJosef PfeilschifterTakahisa KawakamiCuiyan XinRichard A. LangDidier PortillaDeidre A. MacKenna
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Shuyu Ren
37 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Nephrology 554
- Developmental Neuroscience 239
- Cancer Research 560
- Neurology 279
- Molecular Biology 1.7k
Countries citing papers authored by Shuyu Ren
This map shows the geographic impact of Shuyu Ren'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 Shuyu Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuyu Ren more than expected).
Fields of papers citing papers by Shuyu Ren
This network shows the impact of papers produced by Shuyu Ren. 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 Shuyu Ren. The network helps show where Shuyu Ren may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuyu Ren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2023 | 4 | |
| 3 | 2021 | 8 | |
| 4 | 2020 | 221 | |
| 5 | 2020 | 34 | |
| 6 | 2017 | 24 | |
| 7 | 2015 | 75 | |
| 8 | 2015 | 46 | |
| 9 | 2014 | 141 | |
| 10 | 2013 | 29 | |
| 11 | 2013 | 57 | |
| 12 | 2012 | 125 | |
| 13 | 2009 | 70 | |
| 14 | 2007 | 10 | |
| 15 | 2005 | 39 | |
| 16 | 2004 | 21 | |
| 17 | 2003 | 31 | |
| 18 | 2003 | 5 | |
| 19 | 2002 | 7 | |
| 20 | 2002 | 53 |
About Shuyu Ren
Shuyu Ren is a scholar working on Developmental Neuroscience, Physiology and Nephrology, having authored 38 papers that have together received 3.0k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (7 papers), Renal and related cancers (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Biomedical Research and Pathophysiology (4 papers), MicroRNA in disease regulation (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Adenosine and Purinergic Signaling (4 papers). The work is most often cited by research in Nephrology (554 citations), Developmental Neuroscience (239 citations) and Cancer Research (560 citations). Shuyu Ren has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Jeremy S. Duffield, Jeremy S. Duffield, Andrea Huwiler, Josef Pfeilschifter, Takahisa Kawakami, Cuiyan Xin, Richard A. Lang, Cuiyan Xin, Didier Portilla and Deidre A. MacKenna. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.