Na Ma
Impact in
- Endocrinology top 5%
- Plant and Fungal Interactions Research
-
- Cancer-related molecular mechanisms research
Papers in
- Genetics 12
- Genomic variations and chromosomal abnormalities 5
- Genetic Syndromes and Imprinting 4
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- Plant Molecular Biology Research 5
- Plant Virus Research Studies 4
- Co-authors
- Baolong Zhang (4 shared papers)Jinyan Wang (2 shared papers)Yuwen Yang (2 shared papers)Tingli Liu (2 shared papers)Renyi Liu (1 shared paper)Xiao Li (1 shared paper)Wengui Yu (1 shared paper)Tianzi Chen (1 shared paper)
- Journals
- BMC Medical Genomics (3 papers)Cancer Science (2 papers)Frontiers in Genetics (2 papers)International Journal of Biological Sciences (2 papers)Scientia Horticulturae (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Na Ma
48 papers receiving 912 citations
Peers
Comparison fields: 5 of 83
- Endocrinology 109
- Cancer Research 128
- Plant Science 333
- Horticulture 7
- Ophthalmology 40
Countries citing papers authored by Na Ma
This map shows the geographic impact of Na 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 Na Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Ma more than expected).
Fields of papers citing papers by Na Ma
This network shows the impact of papers produced by Na 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 Na Ma. The network helps show where Na Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Na 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 180 | |
| 2 | 2016 | 63 | |
| 3 | 2018 | 54 | |
| 4 | 2016 | 51 | |
| 5 | 2018 | 50 | |
| 6 | 2016 | 49 | |
| 7 | 2016 | 44 | |
| 8 | 2016 | 33 | |
| 9 | 2016 | 31 | |
| 10 | 2021 | 31 | |
| 11 | 2024 | 29 | |
| 12 | 2022 | 23 | |
| 13 | 2017 | 21 | |
| 14 | 2018 | 19 | |
| 15 | 2020 | 19 | |
| 16 | 2013 | 17 | |
| 17 | 2014 | 17 | |
| 18 | 2012 | 15 | |
| 19 | 2024 | 14 | |
| 20 | 2012 | 13 |
About Na Ma
Na Ma is a scholar working on Genetics, Plant Science, Molecular Biology, Pediatrics, Perinatology and Child Health and Infectious Diseases, having authored 55 papers that have together received 926 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (5 papers), Genomic variations and chromosomal abnormalities (5 papers), Prenatal Screening and Diagnostics (5 papers), Plant Virus Research Studies (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Plant biochemistry and biosynthesis (4 papers), Viral Infections and Immunology Research (4 papers) and Genetic Syndromes and Imprinting (4 papers). The work is most often cited by research in Endocrinology (109 citations), Cancer Research (128 citations), Plant Science (333 citations), Horticulture (7 citations) and Ophthalmology (40 citations). Na Ma has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Baolong Zhang, Jinyan Wang, Yuwen Yang, Tingli Liu, Renyi Liu, Xiao Li, Wengui Yu, Tianzi Chen, Xu Yang and Hongcheng Zhang. Their work appears in journals such as BMC Medical Genomics, Cancer Science, Frontiers in Genetics, International Journal of Biological Sciences and Scientia Horticulturae.
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.