Linhai Li
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
Papers in
-
- Epigenetics and DNA Methylation 8
- Circular RNAs in diseases 6
- RNA modifications and cancer 5
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- Cancer-related molecular mechanisms research 6
- Co-authors
- Bin Xiao (29 shared papers)Weiyun Zhang (12 shared papers)Yiming Ouyang (6 shared papers)Zhaohui Sun (15 shared papers)Qingjun Ma (5 shared papers)Ping Li (2 shared papers)Yuejin Li (4 shared papers)Jianfeng Hang (8 shared papers)
- Journals
- Gene (4 papers)Frontiers in Microbiology (2 papers)European Journal of Pharmacology (2 papers)BMC Cancer (2 papers)Cancer Science (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Linhai Li
78 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 125
- Cancer Research 285
- Infectious Diseases 229
- Molecular Biology 592
- Immunology 177
- Animal Science and Zoology 63
Countries citing papers authored by Linhai Li
This map shows the geographic impact of Linhai 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 Linhai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linhai Li more than expected).
Fields of papers citing papers by Linhai Li
This network shows the impact of papers produced by Linhai 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 Linhai Li. The network helps show where Linhai Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Linhai 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 91 | |
| 2 | 2004 | 61 | |
| 3 | 2018 | 54 | |
| 4 | 2020 | 52 | |
| 5 | 2018 | 49 | |
| 6 | 2018 | 43 | |
| 7 | 2016 | 42 | |
| 8 | 2019 | 40 | |
| 9 | 2016 | 35 | |
| 10 | 2017 | 34 | |
| 11 | 2023 | 33 | |
| 12 | 2016 | 33 | |
| 13 | 2020 | 32 | |
| 14 | 2019 | 30 | |
| 15 | 2023 | 30 | |
| 16 | 2004 | 30 | |
| 17 | 2014 | 29 | |
| 18 | 2012 | 26 | |
| 19 | 2019 | 24 | |
| 20 | 2024 | 23 |
About Linhai Li
Linhai Li is a scholar working on Molecular Biology, Cancer Research, Oncology, Infectious Diseases and Epidemiology, having authored 83 papers that have together received 1.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Circular RNAs in diseases (6 papers), Ferroptosis and cancer prognosis (6 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers), Hepatitis B Virus Studies (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Cancer Research (285 citations), Infectious Diseases (229 citations), Molecular Biology (592 citations), Immunology (177 citations) and Animal Science and Zoology (63 citations). Linhai Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Bin Xiao, Weiyun Zhang, Yiming Ouyang, Zhaohui Sun, Qingjun Ma, Ping Li, Yuejin Li, Jianfeng Hang, Yuling Shi and Zhenzhan Kuang. Their work appears in journals such as Gene, Frontiers in Microbiology, European Journal of Pharmacology, BMC Cancer and Cancer Science.
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.