Ling Li
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 2%
- Cell death mechanisms and regulation
- RNA modifications and cancer
- Extracellular vesicles in disease
- Inflammasome and immune disorders
Papers in
-
- Inflammasome and immune disorders 13
- Oncology 61
- Cancer Immunotherapy and Biomarkers 18
- Cancer Cells and Metastasis 10
- Co-authors
- Xun Hu (4 shared papers)Fangming Lin (3 shared papers)Weidong Han (4 shared papers)Takashi Matsui (3 shared papers)Anthony Rosenzweig (3 shared papers)Federica del Monte (2 shared papers)Qinghua Lu (2 shared papers)Qiangrong Pan (2 shared papers)
- Journals
- International Immunopharmacology (6 papers)Scientific Reports (6 papers)Life Sciences (5 papers)Oncotarget (4 papers)Cell Death and Disease (4 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ling Li
291 papers receiving 7.3k citations
Peers
Comparison fields: 5 of 153
- Cancer Research 883
- Molecular Biology 3.5k
- Immunology 944
- Nephrology 309
- Toxicology 143
Countries citing papers authored by Ling Li
This map shows the geographic impact of Ling 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 Ling Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Li more than expected).
Fields of papers citing papers by Ling Li
This network shows the impact of papers produced by Ling 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 Ling Li. The network helps show where Ling Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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 308 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 331 | |
| 2 | 1999 | 331 | |
| 3 | 2005 | 204 | |
| 4 | 2017 | 195 | |
| 5 | 2006 | 176 | |
| 6 | 2010 | 172 | |
| 7 | 2013 | 158 | |
| 8 | 2006 | 137 | |
| 9 | 2008 | 121 | |
| 10 | 2019 | 120 | |
| 11 | 2009 | 115 | |
| 12 | 2020 | 113 | |
| 13 | 2021 | 103 | |
| 14 | 2019 | 102 | |
| 15 | 2017 | 93 | |
| 16 | 2016 | 93 | |
| 17 | 2020 | 80 | |
| 18 | 2014 | 77 | |
| 19 | 2014 | 77 | |
| 20 | 2006 | 76 |
About Ling Li
Ling Li is a scholar working on Molecular Biology, Oncology, Epidemiology, Immunology and Pharmacology, having authored 308 papers that have together received 7.4k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (18 papers), Autophagy in Disease and Therapy (16 papers), Immune Cell Function and Interaction (15 papers), Inflammasome and immune disorders (13 papers), Cytomegalovirus and herpesvirus research (11 papers), Cancer Cells and Metastasis (10 papers), Immunotherapy and Immune Responses (10 papers) and Cancer-related molecular mechanisms research (10 papers). The work is most often cited by research in Cancer Research (883 citations), Molecular Biology (3.5k citations), Immunology (944 citations), Nephrology (309 citations) and Toxicology (143 citations). Ling Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xun Hu, Fangming Lin, Weidong Han, Takashi Matsui, Anthony Rosenzweig, Federica del Monte, Qinghua Lu, Qiangrong Pan, Thomas Franke and Roger J. Hajjar. Their work appears in journals such as International Immunopharmacology, Scientific Reports, Life Sciences, Oncotarget and Cell Death and Disease.
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.