J. Li
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
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- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
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- Renal Transplantation Outcomes and Treatments 13
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 2
- Co-authors
- Guillermo Garcia‐Manero (1 shared paper)Huai‐Qiang Ju (1 shared paper)Zi‐Jiang Chen (1 shared paper)Yuanlu Sun (1 shared paper)Peng Huang (1 shared paper)Joe Leigh Simpson (1 shared paper)Anfei Huang (1 shared paper)Haocheng Tang (1 shared paper)
- Journals
- Journal of Pipeline Science and Engineering (2 papers)International Journal of Clinical Practice (2 papers)Annals of Oncology (2 papers)Transplantation Proceedings (18 papers)Laser & Photonics Review (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
J. Li
39 papers receiving 487 citations
Peers
Comparison fields: 5 of 81
- Transplantation 70
- Cancer Research 83
- Hematology 63
- Reproductive Medicine 29
- Gastroenterology 18
Countries citing papers authored by J. Li
This map shows the geographic impact of J. 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 J. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Li more than expected).
Fields of papers citing papers by J. Li
This network shows the impact of papers produced by J. 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 J. Li. The network helps show where J. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside J. 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 99 | |
| 2 | 2012 | 80 | |
| 3 | 2012 | 69 | |
| 4 | 2014 | 29 | |
| 5 | 2012 | 23 | |
| 6 | 2012 | 17 | |
| 7 | 2007 | 16 | |
| 8 | 2016 | 16 | |
| 9 | 2005 | 15 | |
| 10 | 2010 | 12 | |
| 11 | 2018 | 10 | |
| 12 | 2018 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2013 | 9 | |
| 15 | 2017 | 9 | |
| 16 | 2014 | 8 | |
| 17 | 2014 | 6 | |
| 18 | 2013 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2024 | 5 |
About J. Li
J. Li is a scholar working on Transplantation, Pulmonary and Respiratory Medicine, Oncology, Public Health, Environmental and Occupational Health and Surgery, having authored 46 papers that have together received 498 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (13 papers), Organ Donation and Transplantation (4 papers), Optical Network Technologies (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Orthopedic Surgery and Rehabilitation (1 paper). The work is most often cited by research in Transplantation (70 citations), Cancer Research (83 citations), Hematology (63 citations), Reproductive Medicine (29 citations) and Gastroenterology (18 citations). J. Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Guillermo Garcia‐Manero, Huai‐Qiang Ju, Zi‐Jiang Chen, Yuanlu Sun, Peng Huang, Joe Leigh Simpson, Anfei Huang, Haocheng Tang, Xue Jiao and Xuan Gao. Their work appears in journals such as Journal of Pipeline Science and Engineering, International Journal of Clinical Practice, Annals of Oncology, Transplantation Proceedings and Laser & Photonics Review.
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.