Lang Li
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- NF-κB Signaling Pathways
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
- Inflammatory mediators and NSAID effects
Papers in
-
- Cancer-related molecular mechanisms research 6
- Cancer Genomics and Diagnostics 2
-
- Circular RNAs in diseases 4
- RNA modifications and cancer 3
- Peroxisome Proliferator-Activated Receptors 2
- Co-authors
- Christopher J. Sweeney (2 shared papers)Philip H. Abbosh (1 shared paper)Alfred S.L. Cheng (1 shared paper)Qianqian Zhao (1 shared paper)Lei Chen (1 shared paper)Samuel L. Oyer (1 shared paper)Zeruesenay Desta (1 shared paper)Henry Paik (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Journal of Clinical Oncology (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Journal Of Big Data (1 paper)Cancer Immunology Immunotherapy (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Lang Li
20 papers receiving 718 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 188
- Pharmacology 71
- Oncology 137
- Genetics 141
- Molecular Biology 332
Countries citing papers authored by Lang Li
This map shows the geographic impact of Lang 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 Lang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lang Li more than expected).
Fields of papers citing papers by Lang Li
This network shows the impact of papers produced by Lang 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 Lang Li. The network helps show where Lang Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Lang 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 194 | |
| 2 | 2004 | 128 | |
| 3 | 2006 | 112 | |
| 4 | 2019 | 59 | |
| 5 | 2006 | 48 | |
| 6 | 2020 | 46 | |
| 7 | 2021 | 21 | |
| 8 | 2007 | 21 | |
| 9 | 2018 | 19 | |
| 10 | 2020 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2020 | 14 | |
| 13 | 2021 | 12 | |
| 14 | 2022 | 7 | |
| 15 | 2018 | 6 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 1 |
About Lang Li
Lang Li is a scholar working on Cancer Research, Molecular Biology, Oncology, Genetics and Surgery, having authored 22 papers that have together received 730 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), RNA modifications and cancer (3 papers), Estrogen and related hormone effects (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer Genomics and Diagnostics (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Cancer Research (188 citations), Pharmacology (71 citations), Oncology (137 citations), Genetics (141 citations) and Molecular Biology (332 citations). Lang Li has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Christopher J. Sweeney, Philip H. Abbosh, Alfred S.L. Cheng, Qianqian Zhao, Lei Chen, Samuel L. Oyer, Zeruesenay Desta, Henry Paik, Pearlly S. Yan and James M. Rae. Their work appears in journals such as Clinical Cancer Research, Journal of Clinical Oncology, Journal of Pharmacology and Experimental Therapeutics, Journal Of Big Data and Cancer Immunology Immunotherapy.
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.