Ming Ma
Impact in
- Genetics top 2%
- Genetic and Kidney Cyst Diseases
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- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
Papers in
-
- Renal and related cancers 9
- Hedgehog Signaling Pathway Studies 5
- Genetics 17
- Genetic and Kidney Cyst Diseases 11
- Co-authors
- Stefan Somlo (8 shared papers)Xin Tian (6 shared papers)Yun‐Jin Jiang (1 shared paper)Peter Igarashi (1 shared paper)Gregory J. Pazour (1 shared paper)Anna‐Rachel Gallagher (1 shared paper)Zhixiang Liu (1 shared paper)Yi Li (1 shared paper)
- Journals
- Journal of Natural Products (4 papers)Journal of the American Society of Nephrology (3 papers)Nature Communications (2 papers)Molecular Plant Pathology (2 papers)Marine and Petroleum Geology (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Ming Ma
68 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 130
- Genetics 714
- Cellular and Molecular Neuroscience 296
- Molecular Biology 1.0k
- Aquatic Science 107
- Pathology and Forensic Medicine 212
Countries citing papers authored by Ming Ma
This map shows the geographic impact of Ming 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 Ming Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ma more than expected).
Fields of papers citing papers by Ming Ma
This network shows the impact of papers produced by Ming 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 Ming Ma. The network helps show where Ming Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 350 | |
| 2 | 2013 | 269 | |
| 3 | 2007 | 114 | |
| 4 | 1997 | 110 | |
| 5 | 2005 | 104 | |
| 6 | 2017 | 95 | |
| 7 | 2020 | 77 | |
| 8 | 2016 | 69 | |
| 9 | 2021 | 63 | |
| 10 | 2006 | 46 | |
| 11 | 2015 | 44 | |
| 12 | 2020 | 39 | |
| 13 | 2016 | 39 | |
| 14 | 2016 | 29 | |
| 15 | 2005 | 28 | |
| 16 | 2019 | 26 | |
| 17 | 2007 | 26 | |
| 18 | 2020 | 26 | |
| 19 | 2023 | 25 | |
| 20 | 2021 | 24 |
About Ming Ma
Ming Ma is a scholar working on Molecular Biology, Genetics, Plant Science, Surgery and Pathology and Forensic Medicine, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (11 papers), Renal and related cancers (9 papers), Plant Molecular Biology Research (7 papers), Hedgehog Signaling Pathway Studies (5 papers), Spine and Intervertebral Disc Pathology (5 papers), Plant-Microbe Interactions and Immunity (4 papers), Geological and Geochemical Analysis (4 papers) and Seaweed-derived Bioactive Compounds (4 papers). The work is most often cited by research in Genetics (714 citations), Cellular and Molecular Neuroscience (296 citations), Molecular Biology (1.0k citations), Aquatic Science (107 citations) and Pathology and Forensic Medicine (212 citations). Ming Ma has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Stefan Somlo, Xin Tian, Yun‐Jin Jiang, Peter Igarashi, Gregory J. Pazour, Anna‐Rachel Gallagher, Zhixiang Liu, Yi Li, Jiawei Zeng and Salah El Mestikawy. Their work appears in journals such as Journal of Natural Products, Journal of the American Society of Nephrology, Nature Communications, Molecular Plant Pathology and Marine and Petroleum Geology.
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.