H. Li
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
Papers in
- Immunology 13
- interferon and immune responses 6
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- Ubiquitin and proteasome pathways 10
- PI3K/AKT/mTOR signaling in cancer 4
- RNA Research and Splicing 3
- Co-authors
- Tao Zhou (20 shared papers)Ailing Li (18 shared papers)Xuemin Zhang (15 shared papers)Xin Pan (11 shared papers)Xue-Min Zhang (8 shared papers)Tao Li (8 shared papers)Jiang-Hong Man (7 shared papers)Wei-Li Gong (7 shared papers)
- Journals
- Nature Communications (4 papers)Journal of Biological Chemistry (3 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Proteome Research (2 papers)FEBS Letters (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
H. Li
54 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 282
- Immunology 376
- Molecular Biology 1.2k
- Nephrology 111
- Cell Biology 198
Countries citing papers authored by H. Li
This map shows the geographic impact of H. 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 H. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Li more than expected).
Fields of papers citing papers by H. Li
This network shows the impact of papers produced by H. 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 H. Li. The network helps show where H. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside H. 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 405 | |
| 2 | 2019 | 122 | |
| 3 | 2008 | 121 | |
| 4 | 2009 | 116 | |
| 5 | 2020 | 116 | |
| 6 | 2004 | 112 | |
| 7 | 2017 | 71 | |
| 8 | 2020 | 66 | |
| 9 | 2010 | 62 | |
| 10 | 2007 | 62 | |
| 11 | 2021 | 56 | |
| 12 | 2005 | 49 | |
| 13 | 2014 | 46 | |
| 14 | 2016 | 40 | |
| 15 | 2006 | 39 | |
| 16 | 2014 | 39 | |
| 17 | 2021 | 37 | |
| 18 | 2019 | 36 | |
| 19 | 2006 | 35 | |
| 20 | 2015 | 33 |
About H. Li
H. Li is a scholar working on Immunology, Molecular Biology, Cell Biology, Oncology and Cancer Research, having authored 56 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Microtubule and mitosis dynamics (6 papers), interferon and immune responses (6 papers), Genetic and Kidney Cyst Diseases (5 papers), NF-κB Signaling Pathways (4 papers), Cancer-related Molecular Pathways (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (282 citations), Immunology (376 citations), Molecular Biology (1.2k citations), Nephrology (111 citations) and Cell Biology (198 citations). H. Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Tao Zhou, Ailing Li, Xuemin Zhang, Xin Pan, Xue-Min Zhang, Tao Li, Jiang-Hong Man, Wei-Li Gong, Jie Zhao and Qiuying Han. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Journal of Proteome Research and FEBS Letters.
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.