Sha Peng
Impact in
- Reproductive Medicine top 2%
- Sperm and Testicular Function
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Pluripotent Stem Cells Research 18
- CRISPR and Genetic Engineering 7
- Surgery 19
- Pancreatic function and diabetes 10
- Tissue Engineering and Regenerative Medicine 9
- Co-authors
- Jinlian Hua (31 shared papers)Na Li (20 shared papers)Xiaokui Yang (3 shared papers)Haiyan Lin (1 shared paper)Hongmei Wang (1 shared paper)Enkui Duan (6 shared papers)Ying Zhou (1 shared paper)Liang Wu (1 shared paper)
- Journals
- Cell Proliferation (9 papers)Journal of Cellular Physiology (4 papers)International Journal of Molecular Sciences (4 papers)动物学研究 (4 papers)Biochemical and Biophysical Research Communications (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Sha Peng
57 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Reproductive Medicine 292
- Cancer Research 353
- Genetics 142
- Immunology 230
- Molecular Biology 719
Countries citing papers authored by Sha Peng
This map shows the geographic impact of Sha Peng'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 Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Peng more than expected).
Fields of papers citing papers by Sha Peng
This network shows the impact of papers produced by Sha Peng. 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 Peng. The network helps show where Sha Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha Peng, 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 | 2012 | 159 | |
| 2 | 2015 | 101 | |
| 3 | 2013 | 91 | |
| 4 | 2018 | 88 | |
| 5 | 2010 | 62 | |
| 6 | 2011 | 57 | |
| 7 | 2017 | 53 | |
| 8 | 2008 | 50 | |
| 9 | 2012 | 42 | |
| 10 | 2021 | 38 | |
| 11 | 2022 | 37 | |
| 12 | 2018 | 36 | |
| 13 | 2006 | 35 | |
| 14 | 2020 | 32 | |
| 15 | 2008 | 29 | |
| 16 | 2012 | 26 | |
| 17 | 2013 | 25 | |
| 18 | 2021 | 24 | |
| 19 | 2023 | 24 | |
| 20 | 2017 | 22 |
About Sha Peng
Sha Peng is a scholar working on Molecular Biology, Surgery, Public Health, Environmental and Occupational Health, Immunology and Genetics, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (18 papers), Pancreatic function and diabetes (10 papers), Tissue Engineering and Regenerative Medicine (9 papers), Reproductive Biology and Fertility (9 papers), CRISPR and Genetic Engineering (7 papers), MicroRNA in disease regulation (7 papers), Sperm and Testicular Function (7 papers) and Mesenchymal stem cell research (6 papers). The work is most often cited by research in Reproductive Medicine (292 citations), Cancer Research (353 citations), Genetics (142 citations), Immunology (230 citations) and Molecular Biology (719 citations). Sha Peng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jinlian Hua, Na Li, Xiaokui Yang, Haiyan Lin, Hongmei Wang, Enkui Duan, Ying Zhou, Liang Wu, Shuyu Wang and Ying Fang. Their work appears in journals such as Cell Proliferation, Journal of Cellular Physiology, International Journal of Molecular Sciences, 动物学研究 and Biochemical and Biophysical Research Communications.
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.