Hang Yin
Impact in
- Aging top 1%
- Molecular Biology top 1%
- Muscle Physiology and Disorders
- CRISPR and Genetic Engineering
- RNA modifications and cancer
Papers in
-
- Muscle Physiology and Disorders 12
- CRISPR and Genetic Engineering 10
- RNA Research and Splicing 6
- RNA modifications and cancer 6
- Genomics and Chromatin Dynamics 6
- Physiology 12
- Adipose Tissue and Metabolism 10
- Co-authors
- Michael A. Rudnicki (11 shared papers)Feodor D. Price (3 shared papers)Haifan Lin (9 shared papers)C. Florian Bentzinger (3 shared papers)Vahab D. Soleimani (5 shared papers)Julia von Maltzahn (2 shared papers)Xiao Huang (2 shared papers)Yang Liu (7 shared papers)
- Journals
- Cell Reports (3 papers)Cell stem cell (3 papers)The FASEB Journal (3 papers)Nature Communications (2 papers)Nature (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Hang Yin
52 papers receiving 5.1k citations
Hang Yin's Hit Papers
Peers
Comparison fields: 5 of 126
- Aging 210
- Molecular Biology 4.0k
- Genetics 525
- Cancer Research 625
- Physiology 995
Countries citing papers authored by Hang Yin
This map shows the geographic impact of Hang Yin'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 Hang Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Yin more than expected).
Fields of papers citing papers by Hang Yin
This network shows the impact of papers produced by Hang Yin. 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 Hang Yin. The network helps show where Hang Yin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang Yin, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Satellite Cells and the Muscle Stem Cell Niche Hit paper breakdown → | 2013 | 1517 |
| 2 | 2007 | 336 | |
| 3 | 2014 | 311 | |
| 4 | 2007 | 284 | |
| 5 | 2013 | 272 | |
| 6 | 2013 | 234 | |
| 7 | 2013 | 191 | |
| 8 | 2016 | 186 | |
| 9 | 2008 | 181 | |
| 10 | 2012 | 151 | |
| 11 | 2013 | 123 | |
| 12 | 2019 | 120 | |
| 13 | 2010 | 112 | |
| 14 | 2017 | 108 | |
| 15 | 2010 | 81 | |
| 16 | 2016 | 74 | |
| 17 | 2021 | 67 | |
| 18 | 2012 | 64 | |
| 19 | 2008 | 52 | |
| 20 | 2018 | 50 |
About Hang Yin
Hang Yin is a scholar working on Molecular Biology, Physiology, Epidemiology, Cancer Research and Plant Science, having authored 58 papers that have together received 5.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (12 papers), CRISPR and Genetic Engineering (10 papers), Adipose Tissue and Metabolism (10 papers), Chromosomal and Genetic Variations (8 papers), RNA Research and Splicing (6 papers), RNA modifications and cancer (6 papers), Genomics and Chromatin Dynamics (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Aging (210 citations), Molecular Biology (4.0k citations), Genetics (525 citations), Cancer Research (625 citations) and Physiology (995 citations). Hang Yin has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Michael A. Rudnicki, Feodor D. Price, Haifan Lin, C. Florian Bentzinger, Vahab D. Soleimani, Julia von Maltzahn, Xiao Huang, Yang Liu, Amelia Yin and Wenyan Fu. Their work appears in journals such as Cell Reports, Cell stem cell, The FASEB Journal, Nature Communications and Nature.
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.