Sha Sun
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Genetics top 5%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Animal Genetics and Reproduction
Papers in
- Genetics 17
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 13
- Animal Genetics and Reproduction 4
- Genetic diversity and population structure 3
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- RNA Research and Splicing 6
- RNA modifications and cancer 3
- Co-authors
- Jeannie T. Lee (4 shared papers)Di Tian (1 shared paper)Attila Szántó (1 shared paper)Yuya Ogawa (1 shared paper)Yesu Jeon (1 shared paper)Chau‐Ti Ting (2 shared papers)Brian C. Del Rosario (1 shared paper)Chung‐I Wu (1 shared paper)
- Journals
- Aquaculture (4 papers)Proceedings of the National Academy of Sciences (4 papers)Genetics (2 papers)Frontiers in Immunology (2 papers)Cell (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Sha Sun
27 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Cancer Research 459
- Genetics 568
- Structural Biology 29
- Physiology 69
- Molecular Biology 873
Countries citing papers authored by Sha Sun
This map shows the geographic impact of Sha Sun'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 Sha Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Sun more than expected).
Fields of papers citing papers by Sha Sun
This network shows the impact of papers produced by Sha Sun. 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 Sha Sun. The network helps show where Sha Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha Sun, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 409 | |
| 2 | 2013 | 265 | |
| 3 | 2004 | 105 | |
| 4 | 2019 | 91 | |
| 5 | 2017 | 66 | |
| 6 | 2004 | 63 | |
| 7 | 2010 | 42 | |
| 8 | 2018 | 41 | |
| 9 | 2013 | 37 | |
| 10 | 2019 | 31 | |
| 11 | 2018 | 29 | |
| 12 | 2020 | 19 | |
| 13 | 2022 | 18 | |
| 14 | 2009 | 16 | |
| 15 | 2015 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2017 | 14 | |
| 18 | 2015 | 14 | |
| 19 | 2010 | 13 | |
| 20 | 2018 | 12 |
About Sha Sun
Sha Sun is a scholar working on Genetics, Molecular Biology, Cancer Research, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers), Cancer-related molecular mechanisms research (7 papers), RNA Research and Splicing (6 papers), Animal Genetics and Reproduction (4 papers), Reproductive biology and impacts on aquatic species (3 papers), Systemic Lupus Erythematosus Research (3 papers), RNA modifications and cancer (3 papers) and Genetic diversity and population structure (3 papers). The work is most often cited by research in Cancer Research (459 citations), Genetics (568 citations), Structural Biology (29 citations), Physiology (69 citations) and Molecular Biology (873 citations). Sha Sun has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Jeannie T. Lee, Di Tian, Attila Szántó, Yuya Ogawa, Yesu Jeon, Chau‐Ti Ting, Brian C. Del Rosario, Chung‐I Wu, Shijun Xiao and Kun Ye. Their work appears in journals such as Aquaculture, Proceedings of the National Academy of Sciences, Genetics, Frontiers in Immunology and Cell.
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.