Chen Sang
Impact in
-
- Genetic Neurodegenerative Diseases
- Aging top 5%
Papers in
-
- Muscle Physiology and Disorders 7
-
- Cancer, Lipids, and Metabolism 4
- MicroRNA in disease regulation 4
- Co-authors
- Hiroaki Adachi (7 shared papers)Manabu Doyu (7 shared papers)Masahisa Katsuno (6 shared papers)Gen Sobue (6 shared papers)Makoto Minamiyama (5 shared papers)Yasushi Kobayashi (5 shared papers)Akira Inukai (3 shared papers)Masahiro Waza (2 shared papers)
- Journals
- Nature Medicine (2 papers)Acta Astronautica (2 papers)Respiratory Physiology & Neurobiology (1 paper)Frontiers in Earth Science (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaJapanSwitzerland
In The Last Decade
Chen Sang
40 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 117
- Cellular and Molecular Neuroscience 869
- Aging 76
- Genetics 320
- Molecular Biology 1.2k
- Cell Biology 235
Countries citing papers authored by Chen Sang
This map shows the geographic impact of Chen Sang'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 Chen Sang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Sang more than expected).
Fields of papers citing papers by Chen Sang
This network shows the impact of papers produced by Chen Sang. 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 Chen Sang. The network helps show where Chen Sang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Sang, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 369 | |
| 2 | 2005 | 326 | |
| 3 | 2003 | 217 | |
| 4 | 2003 | 216 | |
| 5 | 2005 | 192 | |
| 6 | 2012 | 81 | |
| 7 | 1991 | 77 | |
| 8 | 2019 | 65 | |
| 9 | 2021 | 39 | |
| 10 | Katsuno, M. et al. Leuprorelin rescues polyglutamine-dependent phenotypes in a transgenic mouse model of spinal and bulbar muscular atrophy. Nat. Med. 9, 768−773 | 2003 | 37 |
| 11 | 2021 | 34 | |
| 12 | 2018 | 27 | |
| 13 | 2013 | 27 | |
| 14 | 2020 | 21 | |
| 15 | 2019 | 16 | |
| 16 | 2010 | 16 | |
| 17 | 2022 | 15 | |
| 18 | 2023 | 15 | |
| 19 | 2011 | 14 | |
| 20 | 2002 | 14 |
About Chen Sang
Chen Sang is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Surgery and Genetics, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (7 papers), Genetic Neurodegenerative Diseases (7 papers), Corrosion Behavior and Inhibition (4 papers), Spaceflight effects on biology (4 papers), Cancer, Lipids, and Metabolism (4 papers), MicroRNA in disease regulation (4 papers), Estrogen and related hormone effects (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (869 citations), Aging (76 citations), Genetics (320 citations), Molecular Biology (1.2k citations) and Cell Biology (235 citations). Chen Sang has collaborated with scholars based in China, Japan and Switzerland. Frequent co-authors include Hiroaki Adachi, Manabu Doyu, Masahisa Katsuno, Gen Sobue, Makoto Minamiyama, Yasushi Kobayashi, Akira Inukai, Masahiro Waza, Fumiaki Tanaka and Akito Kume. Their work appears in journals such as Nature Medicine, Acta Astronautica, Respiratory Physiology & Neurobiology, Frontiers in Earth Science and Neurocomputing.
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.