Keying Li
Impact in
- Immunology top 10%
- Complement system in diseases
- Hematology top 10%
Papers in
-
- ATP Synthase and ATPases Research 3
- Bone Metabolism and Diseases 3
- Cancer-related gene regulation 3
- Gut microbiota and health 2
- Immunology 11
- Complement system in diseases 8
- Co-authors
- Stephen J. Perkins (9 shared papers)Ruodan Nan (6 shared papers)Morris F. Manolson (5 shared papers)Yeqi Yao (3 shared papers)Sanaullah Khan (3 shared papers)Johan N.M. Heersche (2 shared papers)Jayesh Gor (4 shared papers)Zhenhua Hao (2 shared papers)
- Journals
- Journal of Molecular Biology (3 papers)Journal of Biological Chemistry (3 papers)Journal of Cellular Biochemistry (2 papers)Genes (2 papers)Acta Pharmaceutica Sinica B (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Keying Li
30 papers receiving 796 citations
Peers
Comparison fields: 5 of 92
- Immunology 243
- Hematology 86
- Nephrology 45
- Molecular Biology 367
- Biological Psychiatry 12
Countries citing papers authored by Keying Li
This map shows the geographic impact of Keying Li'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 Keying Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keying Li more than expected).
Fields of papers citing papers by Keying Li
This network shows the impact of papers produced by Keying Li. 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 Keying Li. The network helps show where Keying Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Keying Li, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 91 | |
| 2 | 2003 | 84 | |
| 3 | 2011 | 67 | |
| 4 | 2007 | 57 | |
| 5 | 2010 | 54 | |
| 6 | 2012 | 42 | |
| 7 | 2014 | 40 | |
| 8 | 2009 | 38 | |
| 9 | 2020 | 36 | |
| 10 | 2023 | 33 | |
| 11 | 2008 | 30 | |
| 12 | 2010 | 27 | |
| 13 | 2011 | 27 | |
| 14 | 2012 | 24 | |
| 15 | 2010 | 23 | |
| 16 | 2003 | 22 | |
| 17 | 2022 | 19 | |
| 18 | 2009 | 18 | |
| 19 | 2016 | 17 | |
| 20 | 2022 | 11 |
About Keying Li
Keying Li is a scholar working on Molecular Biology, Immunology, Hematology, Physiology and Pediatrics, Perinatology and Child Health, having authored 35 papers that have together received 800 indexed citations. Recurring topics across this work include Complement system in diseases (8 papers), Blood groups and transfusion (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), ATP Synthase and ATPases Research (3 papers), Bone Metabolism and Diseases (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Cancer-related gene regulation (3 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Immunology (243 citations), Hematology (86 citations), Nephrology (45 citations), Molecular Biology (367 citations) and Biological Psychiatry (12 citations). Keying Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Stephen J. Perkins, Ruodan Nan, Morris F. Manolson, Yeqi Yao, Sanaullah Khan, Johan N.M. Heersche, Jayesh Gor, Zhenhua Hao, Azubuike I. Okemefuna and Ami Miller. Their work appears in journals such as Journal of Molecular Biology, Journal of Biological Chemistry, Journal of Cellular Biochemistry, Genes and Acta Pharmaceutica Sinica B.
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.