Renzhi Han
Impact in
- Aging top 5%
- Molecular Biology top 2%
- Muscle Physiology and Disorders
- Inflammasome and immune disorders
- CRISPR and Genetic Engineering
- Heme Oxygenase-1 and Carbon Monoxide
- Mitochondrial Function and Pathology
Papers in
-
- Muscle Physiology and Disorders 28
- CRISPR and Genetic Engineering 19
- Mitochondrial Function and Pathology 6
- Ion channel regulation and function 6
- Inflammasome and immune disorders 6
- Genetics 16
- Virus-based gene therapy research 13
- Co-authors
- Kevin P. Campbell (6 shared papers)Li Xu (21 shared papers)Zhenyu Zhong (4 shared papers)Liang Qiao (4 shared papers)Fayyaz S. Sutterwala (4 shared papers)Yandi Gao (13 shared papers)Shankar S. Iyer (1 shared paper)William M. Nauseef (1 shared paper)
- Journals
- Molecular Therapy (8 papers)Nature Communications (4 papers)Skeletal Muscle (4 papers)PLoS ONE (4 papers)Cell & Bioscience (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Renzhi Han
69 papers receiving 3.5k citations
Renzhi Han's Hit Papers
Peers
Comparison fields: 5 of 128
- Aging 80
- Molecular Biology 2.6k
- Business and International Management 64
- Physiology 129
- Immunology 576
Countries citing papers authored by Renzhi Han
This map shows the geographic impact of Renzhi 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 Renzhi Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renzhi Han more than expected).
Fields of papers citing papers by Renzhi Han
This network shows the impact of papers produced by Renzhi 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 Renzhi Han. The network helps show where Renzhi Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Renzhi 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mitochondrial Cardiolipin Is Required for Nlrp3 Inflammasome Activation Hit paper breakdown → | 2013 | 740 |
| 2 | 2013 | 306 | |
| 3 | 2007 | 200 | |
| 4 | 2015 | 198 | |
| 5 | 1996 | 191 | |
| 6 | 2007 | 137 | |
| 7 | 2009 | 122 | |
| 8 | 2017 | 107 | |
| 9 | 2014 | 97 | |
| 10 | 2020 | 82 | |
| 11 | 2021 | 81 | |
| 12 | 2010 | 79 | |
| 13 | 2005 | 74 | |
| 14 | 2011 | 73 | |
| 15 | 2016 | 72 | |
| 16 | 2006 | 70 | |
| 17 | 2018 | 66 | |
| 18 | 2013 | 55 | |
| 19 | 2021 | 47 | |
| 20 | 2011 | 43 |
About Renzhi Han
Renzhi Han is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Physiology and Cell Biology, having authored 73 papers that have together received 3.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (28 papers), CRISPR and Genetic Engineering (19 papers), Virus-based gene therapy research (13 papers), Cardiomyopathy and Myosin Studies (9 papers), Mitochondrial Function and Pathology (6 papers), Ion channel regulation and function (6 papers), Inflammasome and immune disorders (6 papers) and Exercise and Physiological Responses (5 papers). The work is most often cited by research in Aging (80 citations), Molecular Biology (2.6k citations), Business and International Management (64 citations), Physiology (129 citations) and Immunology (576 citations). Renzhi Han has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Kevin P. Campbell, Li Xu, Zhenyu Zhong, Liang Qiao, Fayyaz S. Sutterwala, Yandi Gao, Shankar S. Iyer, William M. Nauseef, Stephanie C. Eisenbarth and John R. Janczy. Their work appears in journals such as Molecular Therapy, Nature Communications, Skeletal Muscle, PLoS ONE and Cell & Bioscience.
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.