Shaolin Shi
Impact in
- Nephrology top 0.5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Renal and related cancers 9
- Developmental Biology and Gene Regulation 9
- Single-cell and spatial transcriptomics 5
- Glycosylation and Glycoproteins Research 4
- Genomics and Chromatin Dynamics 4
- Nephrology 27
- Renal Diseases and Glomerulopathies 23
- Chronic Kidney Disease and Diabetes 4
- Co-authors
- Pamela Stanley (15 shared papers)Erwin P. Böttinger (7 shared papers)Liping Yu (6 shared papers)Zhihong Liu (17 shared papers)Mark Stahl (4 shared papers)Detlef Schlöndorff (4 shared papers)Vivette D. D’Agati (4 shared papers)Ilse S. Daehn (4 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Molecular and Cellular Biology (3 papers)Cell Death and Disease (3 papers)Clinical Journal of the American Society of Nephrology (2 papers)Diabetes (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Shaolin Shi
72 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 114
- Nephrology 770
- Cancer Research 435
- Molecular Biology 1.9k
- Immunology 461
- Clinical Biochemistry 114
Countries citing papers authored by Shaolin Shi
This map shows the geographic impact of Shaolin Shi'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 Shaolin Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaolin Shi more than expected).
Fields of papers citing papers by Shaolin Shi
This network shows the impact of papers produced by Shaolin Shi. 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 Shaolin Shi. The network helps show where Shaolin Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaolin Shi, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 331 | |
| 2 | 2008 | 313 | |
| 3 | 2014 | 237 | |
| 4 | 2001 | 208 | |
| 5 | 2016 | 195 | |
| 6 | 2008 | 154 | |
| 7 | 2006 | 113 | |
| 8 | 2015 | 94 | |
| 9 | 2016 | 92 | |
| 10 | 2004 | 84 | |
| 11 | 2008 | 77 | |
| 12 | 2014 | 75 | |
| 13 | 2013 | 71 | |
| 14 | 2014 | 70 | |
| 15 | 2013 | 64 | |
| 16 | 1999 | 64 | |
| 17 | 2017 | 61 | |
| 18 | 2022 | 58 | |
| 19 | 2005 | 57 | |
| 20 | 2014 | 56 |
About Shaolin Shi
Shaolin Shi is a scholar working on Molecular Biology, Nephrology, Immunology, Surgery and Genetics, having authored 72 papers that have together received 3.3k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (23 papers), Renal and related cancers (9 papers), Developmental Biology and Gene Regulation (9 papers), Single-cell and spatial transcriptomics (5 papers), Pancreatic function and diabetes (5 papers), Glycosylation and Glycoproteins Research (4 papers), Chronic Kidney Disease and Diabetes (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Nephrology (770 citations), Cancer Research (435 citations), Molecular Biology (1.9k citations), Immunology (461 citations) and Clinical Biochemistry (114 citations). Shaolin Shi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Pamela Stanley, Erwin P. Böttinger, Liping Yu, Zhihong Liu, Mark Stahl, Detlef Schlöndorff, Vivette D. D’Agati, Ilse S. Daehn, Yezhou Sun and Changhui Ge. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Cell Death and Disease, Clinical Journal of the American Society of Nephrology and Diabetes.
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.