Li Han
Impact in
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Protein Structure and Dynamics
- RNA modifications and cancer
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- T-cell and B-cell Immunology
Papers in
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- Protein Structure and Dynamics 11
- DNA Repair Mechanisms 8
- Epigenetics and DNA Methylation 8
- CRISPR and Genetic Engineering 5
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- T-cell and B-cell Immunology 8
- Co-authors
- Kefei Yu (12 shared papers)Piroska E. Szabó (5 shared papers)Chih‐Lin Hsieh (2 shared papers)Lee Rudolph (6 shared papers)Shuanghong Huo (10 shared papers)Donghoon Lee (1 shared paper)Alexander Taghva (1 shared paper)Jeffrey R. Mann (2 shared papers)
- Journals
- Molecular and Cellular Biology (6 papers)Proceedings of the National Academy of Sciences (4 papers)Cell Reports (2 papers)The Journal of Physical Chemistry B (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Li Han
47 papers receiving 993 citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 726
- Immunology 191
- Genetics 147
- Cancer Research 75
- Oncology 99
Countries citing papers authored by Li Han
This map shows the geographic impact of Li Han'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 Li Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Han more than expected).
Fields of papers citing papers by Li Han
This network shows the impact of papers produced by Li Han. 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 Li Han. The network helps show where Li Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Han, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 85 | |
| 2 | 2002 | 82 | |
| 3 | 2013 | 79 | |
| 4 | 2007 | 61 | |
| 5 | 2011 | 60 | |
| 6 | 2016 | 55 | |
| 7 | 2001 | 49 | |
| 8 | 2014 | 32 | |
| 9 | 2020 | 32 | |
| 10 | 2023 | 29 | |
| 11 | 2014 | 28 | |
| 12 | 2012 | 28 | |
| 13 | 2009 | 27 | |
| 14 | 2013 | 26 | |
| 15 | 2019 | 25 | |
| 16 | 2010 | 24 | |
| 17 | 2010 | 22 | |
| 18 | 2007 | 21 | |
| 19 | 2014 | 20 | |
| 20 | 2015 | 18 |
About Li Han
Li Han is a scholar working on Molecular Biology, Immunology, Materials Chemistry, Control and Systems Engineering and Genetics, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (11 papers), T-cell and B-cell Immunology (8 papers), DNA Repair Mechanisms (8 papers), Epigenetics and DNA Methylation (8 papers), Robotic Mechanisms and Dynamics (6 papers), Enzyme Structure and Function (6 papers), Robotic Path Planning Algorithms (5 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Molecular Biology (726 citations), Immunology (191 citations), Genetics (147 citations), Cancer Research (75 citations) and Oncology (99 citations). Li Han has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Kefei Yu, Piroska E. Szabó, Chih‐Lin Hsieh, Lee Rudolph, Shuanghong Huo, Donghoon Lee, Alexander Taghva, Jeffrey R. Mann, Dawei Li and Katheryn Meek. Their work appears in journals such as Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Cell Reports, The Journal of Physical Chemistry B and The Journal of Immunology.
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.