Ling Shi
Impact in
- Aging top 10%
Papers in
- Epidemiology 15
- Cervical Cancer and HPV Research 8
- Hepatitis B Virus Studies 4
- Oncology 14
- CAR-T cell therapy research 7
- Co-authors
- Jingxu Zhang (7 shared papers)Suzanne G. Leveille (24 shared papers)Jonathan F. Bean (9 shared papers)Raymond J. MacDonald (2 shared papers)Laura Eggermont (2 shared papers)Robert H. Shmerling (6 shared papers)Yan Wang (3 shared papers)Toshihiko Masui (1 shared paper)
- Journals
- Blood (4 papers)The Journals of Gerontology Series A (4 papers)Transfusion (4 papers)PLoS ONE (3 papers)Journal of the American Geriatrics Society (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ling Shi
113 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 147
- Physical Therapy, Sports Therapy and Rehabilitation 77
- Aging 31
- Nutrition and Dietetics 247
- Anesthesiology and Pain Medicine 77
- Management of Technology and Innovation 85
Countries citing papers authored by Ling Shi
This map shows the geographic impact of Ling 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 Ling Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Shi more than expected).
Fields of papers citing papers by Ling Shi
This network shows the impact of papers produced by Ling 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 Ling Shi. The network helps show where Ling Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 170 | |
| 2 | 2014 | 165 | |
| 3 | 2015 | 135 | |
| 4 | 2010 | 113 | |
| 5 | 2012 | 98 | |
| 6 | 2009 | 95 | |
| 7 | 2005 | 83 | |
| 8 | 2011 | 73 | |
| 9 | 2014 | 63 | |
| 10 | 2013 | 52 | |
| 11 | 2008 | 49 | |
| 12 | 2014 | 48 | |
| 13 | 2011 | 47 | |
| 14 | 2019 | 46 | |
| 15 | 2012 | 45 | |
| 16 | 2011 | 40 | |
| 17 | 2018 | 40 | |
| 18 | 2020 | 40 | |
| 19 | 2021 | 39 | |
| 20 | 2013 | 38 |
About Ling Shi
Ling Shi is a scholar working on Epidemiology, Oncology, Molecular Biology, Physiology and Public Health, Environmental and Occupational Health, having authored 123 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (8 papers), CAR-T cell therapy research (7 papers), Musculoskeletal pain and rehabilitation (6 papers), Child Nutrition and Water Access (6 papers), Balance, Gait, and Falls Prevention (5 papers), Hepatitis B Virus Studies (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Blood donation and transfusion practices (4 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (77 citations), Aging (31 citations), Nutrition and Dietetics (247 citations), Anesthesiology and Pain Medicine (77 citations) and Management of Technology and Innovation (85 citations). Ling Shi has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jingxu Zhang, Suzanne G. Leveille, Jonathan F. Bean, Raymond J. MacDonald, Laura Eggermont, Robert H. Shmerling, Yan Wang, Toshihiko Masui, R. Michael Henke and Thomas M. Beres. Their work appears in journals such as Blood, The Journals of Gerontology Series A, Transfusion, PLoS ONE and Journal of the American Geriatrics Society.
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.