Li Ma
Impact in
- Genetics top 1%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
Papers in
- Genetics 61
- Genetic and phenotypic traits in livestock 45
- Genetic Mapping and Diversity in Plants and Animals 37
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- Epigenetics and DNA Methylation 9
- RNA modifications and cancer 6
- Cancer-related gene regulation 6
- Co-authors
- John B. Cole (25 shared papers)Yang Da (16 shared papers)P.M. VanRaden (14 shared papers)Jicai Jiang (19 shared papers)George E. Liu (36 shared papers)Li Tian (4 shared papers)Zhilin Li (3 shared papers)G.R. Wiggans (4 shared papers)
- Journals
- BMC Genomics (14 papers)Scientific Reports (6 papers)PLoS ONE (6 papers)Journal of Dairy Science (4 papers)Genes (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Li Ma
117 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 123
- Genetics 1.8k
- Cancer Research 739
- Agronomy and Crop Science 482
- Biological Psychiatry 89
- Animal Science and Zoology 360
Countries citing papers authored by Li Ma
This map shows the geographic impact of Li 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 Li Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Ma more than expected).
Fields of papers citing papers by Li Ma
This network shows the impact of papers produced by Li 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 Li Ma. The network helps show where Li Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Li 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 364 | |
| 2 | 2019 | 178 | |
| 3 | 2010 | 168 | |
| 4 | 2012 | 160 | |
| 5 | 2011 | 142 | |
| 6 | 2012 | 129 | |
| 7 | 2015 | 128 | |
| 8 | 2012 | 108 | |
| 9 | 2014 | 85 | |
| 10 | 2020 | 83 | |
| 11 | 2018 | 83 | |
| 12 | 2020 | 72 | |
| 13 | 2019 | 65 | |
| 14 | 2014 | 61 | |
| 15 | 2014 | 56 | |
| 16 | 2006 | 54 | |
| 17 | 2023 | 52 | |
| 18 | 2016 | 52 | |
| 19 | 2019 | 49 | |
| 20 | 2006 | 47 |
About Li Ma
Li Ma is a scholar working on Genetics, Molecular Biology, Cancer Research, Immunology and Plant Science, having authored 128 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (45 papers), Genetic Mapping and Diversity in Plants and Animals (37 papers), Cancer-related molecular mechanisms research (25 papers), Epigenetics and DNA Methylation (9 papers), Reproductive Physiology in Livestock (7 papers), RNA modifications and cancer (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Cancer-related gene regulation (6 papers). The work is most often cited by research in Genetics (1.8k citations), Cancer Research (739 citations), Agronomy and Crop Science (482 citations), Biological Psychiatry (89 citations) and Animal Science and Zoology (360 citations). Li Ma has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include John B. Cole, Yang Da, P.M. VanRaden, Jicai Jiang, George E. Liu, Li Tian, Zhilin Li, G.R. Wiggans, Curtis P. Van Tassell and Dzianis Prakapenka. Their work appears in journals such as BMC Genomics, Scientific Reports, PLoS ONE, Journal of Dairy Science and Genes.
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.