Yuehui Ma
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Genetic and phenotypic traits in livestock
- Animal Genetics and Reproduction
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Pluripotent Stem Cells Research 9
- Genetics 43
- Genetic and phenotypic traits in livestock 28
- Mesenchymal stem cell research 20
- Animal Genetics and Reproduction 12
- Genetic diversity and population structure 10
- Co-authors
- Weijun Guan (38 shared papers)Weijun Guan (24 shared papers)Chunyu Bai (16 shared papers)Yuhua Gao (11 shared papers)Xiangchen Li (15 shared papers)Qianjun Zhao (14 shared papers)Yabin Pu (15 shared papers)Changqing Liu (9 shared papers)
In The Last Decade
Yuehui Ma
103 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 112
- Genetics 236
- Cancer Research 210
- Equine 24
- Genetics 347
- Urology 66
Countries citing papers authored by Yuehui Ma
This map shows the geographic impact of Yuehui Ma'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 Yuehui Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuehui Ma more than expected).
Fields of papers citing papers by Yuehui Ma
This network shows the impact of papers produced by Yuehui Ma. 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 Yuehui Ma. The network helps show where Yuehui Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuehui Ma, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 71 | |
| 2 | 2018 | 57 | |
| 3 | 2015 | 49 | |
| 4 | 2013 | 47 | |
| 5 | 1999 | 37 | |
| 6 | 2015 | 36 | |
| 7 | 2020 | 35 | |
| 8 | 2016 | 35 | |
| 9 | 2008 | 35 | |
| 10 | 2016 | 34 | |
| 11 | 2016 | 34 | |
| 12 | 2015 | 33 | |
| 13 | 2020 | 30 | |
| 14 | 2010 | 29 | |
| 15 | 2017 | 27 | |
| 16 | 2012 | 27 | |
| 17 | 2008 | 23 | |
| 18 | 2018 | 23 | |
| 19 | 2011 | 23 | |
| 20 | 2009 | 22 |
About Yuehui Ma
Yuehui Ma is a scholar working on Molecular Biology, Genetics, Cancer Research, Genetics and Surgery, having authored 106 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (28 papers), Mesenchymal stem cell research (20 papers), Cancer-related molecular mechanisms research (15 papers), Animal Genetics and Reproduction (12 papers), Genetic diversity and population structure (10 papers), Tissue Engineering and Regenerative Medicine (10 papers), Pluripotent Stem Cells Research (9 papers) and MicroRNA in disease regulation (9 papers). The work is most often cited by research in Genetics (236 citations), Cancer Research (210 citations), Equine (24 citations), Genetics (347 citations) and Urology (66 citations). Yuehui Ma has collaborated with scholars based in China, Kenya and Czechia. Frequent co-authors include Weijun Guan, Weijun Guan, Chunyu Bai, Yuhua Gao, Xiangchen Li, Qianjun Zhao, Yabin Pu, Changqing Liu, Kejian Ding and Yu Yu. Their work appears in journals such as BioMed Research International, International Journal of Molecular Sciences, BMC Genomics, The Analyst and Animals.
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.