Ying Shen
Impact in
- Neurology top 10%
- Long-Term Effects of COVID-19
- Nephrology top 10%
Papers in ⓘ
-
- Trigeminal Neuralgia and Treatments 12
- Nephrology 11
- Renal Diseases and Glomerulopathies 8
- Co-authors
- Marc Fisher (1 shared paper)David Kung (1 shared paper)Hang Li (1 shared paper)Renyu Liu (1 shared paper)Jing Zhao (1 shared paper)Fang Luo (12 shared papers)Xiaorong Liu (8 shared papers)Nan Ji (4 shared papers)
- Journals
- Pediatric Nephrology (4 papers)Cephalalgia (2 papers)Journal of Pain Research (2 papers)Pain Physician (2 papers)Nephrology (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Ying Shen
47 papers receiving 813 citations
Peers
Comparison fields: 5 of 110
- Neurology 182
- Nephrology 79
- Infectious Diseases 183
- Pathology and Forensic Medicine 138
- Clinical Biochemistry 48
Countries citing papers authored by Ying Shen
This map shows the geographic impact of Ying Shen'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 Ying Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Shen more than expected).
Fields of papers citing papers by Ying Shen
This network shows the impact of papers produced by Ying Shen. 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 Ying Shen. The network helps show where Ying Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Shen, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 221 | |
| 2 | 2009 | 55 | |
| 3 | 2013 | 43 | |
| 4 | 2009 | 42 | |
| 5 | 2019 | 41 | |
| 6 | 2012 | 38 | |
| 7 | 2014 | 31 | |
| 8 | 2015 | 30 | |
| 9 | 2017 | 29 | |
| 10 | 2013 | 26 | |
| 11 | 2008 | 25 | |
| 12 | 2020 | 23 | |
| 13 | 2011 | 20 | |
| 14 | 1994 | 20 | |
| 15 | 2009 | 18 | |
| 16 | 2009 | 18 | |
| 17 | 2018 | 16 | |
| 18 | 2018 | 14 | |
| 19 | 2020 | 12 | |
| 20 | 2006 | 10 |
About Ying Shen
Ying Shen is a scholar working on Pathology and Forensic Medicine, Nephrology, Neurology, Epidemiology and Infectious Diseases, having authored 51 papers that have together received 832 indexed citations. Recurring topics across this work include Trigeminal Neuralgia and Treatments (12 papers), Renal Diseases and Glomerulopathies (8 papers), Migraine and Headache Studies (6 papers), Streptococcal Infections and Treatments (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Melamine detection and toxicity (5 papers), Cerebral Venous Sinus Thrombosis (3 papers) and Pediatric Urology and Nephrology Studies (3 papers). The work is most often cited by research in Neurology (182 citations), Nephrology (79 citations), Infectious Diseases (183 citations), Pathology and Forensic Medicine (138 citations) and Clinical Biochemistry (48 citations). Ying Shen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Marc Fisher, David Kung, Hang Li, Renyu Liu, Jing Zhao, Fang Luo, Xiaorong Liu, Nan Ji, Yonghong Yang and Tao Wang. Their work appears in journals such as Pediatric Nephrology, Cephalalgia, Journal of Pain Research, Pain Physician and Nephrology.
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.