Shining Ma
Impact in
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- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- CRISPR and Genetic Engineering
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
Papers in ⓘ
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- Genomics and Chromatin Dynamics 4
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 4
- Genomics and Phylogenetic Studies 3
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
- Single-cell and spatial transcriptomics 1
- Genetics 4
- Genetic Associations and Epidemiology 2
- Co-authors
- Tao Jiang (4 shared papers)Wing Hung Wong (8 shared papers)Rui Jiang (5 shared papers)Reenal Pattni (2 shared papers)Joachim Hallmayer (3 shared papers)Ei-Wen Yang (1 shared paper)Xianglong Zhang (3 shared papers)Marcus Ho (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)BMC Genomics (2 papers)Biological Psychiatry (1 paper)Journal of Neurophysiology (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Shining Ma
20 papers receiving 249 citations
Peers
Comparison fields: 5 of 63
- Genetics 89
- Molecular Biology 173
- Endocrinology 11
- Cancer Research 22
- Biophysics 8
Countries citing papers authored by Shining Ma
This map shows the geographic impact of Shining 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 Shining Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shining Ma more than expected).
Fields of papers citing papers by Shining Ma
This network shows the impact of papers produced by Shining 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 Shining Ma. The network helps show where Shining Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Shining 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 60 | |
| 2 | 2016 | 37 | |
| 3 | 2015 | 28 | |
| 4 | 2016 | 17 | |
| 5 | 2014 | 15 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2017 | 9 | |
| 10 | 1990 | 8 | |
| 11 | 2018 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2017 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2014 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 1 | |
| 19 | 2003 | 1 | |
| 20 | 2019 | 1 |
About Shining Ma
Shining Ma is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Plant Science and Infectious Diseases, having authored 21 papers that have together received 253 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (4 papers), Genomics and Phylogenetic Studies (3 papers), Genetic Associations and Epidemiology (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA modifications and cancer (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Genetics (89 citations), Molecular Biology (173 citations), Endocrinology (11 citations), Cancer Research (22 citations) and Biophysics (8 citations). Shining Ma has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Tao Jiang, Wing Hung Wong, Rui Jiang, Reenal Pattni, Joachim Hallmayer, Ei-Wen Yang, Xianglong Zhang, Marcus Ho, Alexander E. Urban and Wei Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, BMC Genomics, Biological Psychiatry, Journal of Neurophysiology and Human Molecular Genetics.
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.