Li Li
Impact in
- Transplantation top 0.2%
- Renal Transplantation Outcomes and Treatments
- Health Informatics top 0.5%
Papers in
-
- Metabolomics and Mass Spectrometry Studies 22
- Epidemiology 93
- Liver Disease Diagnosis and Treatment 37
- Co-authors
- Zhiping Weng (4 shared papers)Rong Chen (2 shared papers)Joel T. Dudley (30 shared papers)Riccardo Miotto (5 shared papers)Brian Kidd (5 shared papers)Minnie Sarwal (42 shared papers)Peter E. Shaw (5 shared papers)Oscar Salvatierra (17 shared papers)
- Journals
- Scientific Reports (14 papers)Transplantation (11 papers)PLoS ONE (8 papers)Medicine (7 papers)Journal of the American Society of Nephrology (7 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Li Li
676 papers receiving 14.9k citations
Li Li's Hit Papers
Peers
Comparison fields: 5 of 212
- Transplantation 1.1k
- Health Informatics 164
- Health Information Management 479
- Obstetrics and Gynecology 623
- Immunology 1.4k
Countries citing papers authored by Li Li
This map shows the geographic impact of Li 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 Li Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Li more than expected).
Fields of papers citing papers by Li Li
This network shows the impact of papers produced by Li 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 Li Li. The network helps show where Li Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Li 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 704 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ZDOCK: An initial‐stage protein‐docking algorithm Hit paper breakdown → | 2003 | 1129 |
| 2 | Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records Hit paper breakdown → | 2016 | 1005 |
| 3 | 2002 | 357 | |
| 4 | 2015 | 339 | |
| 5 | 2011 | 287 | |
| 6 | 2007 | 267 | |
| 7 | 2003 | 263 | |
| 8 | Aspirin Use to Prevent Preeclampsia and Related Morbidity and Mortality Hit paper breakdown → | 2021 | 224 |
| 9 | 2018 | 188 | |
| 10 | 2015 | 150 | |
| 11 | 2021 | 131 | |
| 12 | 2008 | 117 | |
| 13 | 2013 | 114 | |
| 14 | 2016 | 109 | |
| 15 | 2009 | 109 | |
| 16 | 2008 | 107 | |
| 17 | 2008 | 102 | |
| 18 | 2010 | 102 | |
| 19 | 2018 | 101 | |
| 20 | 2019 | 101 |
About Li Li
Li Li is a scholar working on Molecular Biology, Epidemiology, Surgery, Immunology and Genetics, having authored 704 papers that have together received 15.3k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (38 papers), Liver Disease Diagnosis and Treatment (37 papers), Metabolomics and Mass Spectrometry Studies (22 papers), Pregnancy and preeclampsia studies (22 papers), Computational Drug Discovery Methods (21 papers), Reproductive System and Pregnancy (20 papers), Renal Diseases and Glomerulopathies (18 papers) and Hematopoietic Stem Cell Transplantation (16 papers). The work is most often cited by research in Transplantation (1.1k citations), Health Informatics (164 citations), Health Information Management (479 citations), Obstetrics and Gynecology (623 citations) and Immunology (1.4k citations). Li Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhiping Weng, Rong Chen, Joel T. Dudley, Riccardo Miotto, Brian Kidd, Minnie Sarwal, Peter E. Shaw, Oscar Salvatierra, Rong Chen and Tara K. Sigdel. Their work appears in journals such as Scientific Reports, Transplantation, PLoS ONE, Medicine and Journal of the American Society of 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.