Siming Ma
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology top 10%
- interferon and immune responses
Papers in
- Aging 11
- Genetics, Aging, and Longevity in Model Organisms 11
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- Fungal and yeast genetics research 3
- Metabolomics and Mass Spectrometry Studies 3
- Co-authors
- Vadim N. Gladyshev (15 shared papers)Sun Hee Yim (3 shared papers)Byung Cheon Lee (3 shared papers)Maxim V. Gerashchenko (3 shared papers)Alaattin Kaya (5 shared papers)Sang‐Goo Lee (4 shared papers)Fanxiu Zhu (3 shared papers)Jianjun Wu (3 shared papers)
- Journals
- eLife (3 papers)Nature Communications (2 papers)Journal of Virology (1 paper)Cell Metabolism (1 paper)GeroScience (1 paper)
- Partner nations
- United StatesSingaporeRussia
In The Last Decade
Siming Ma
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Aging 338
- Immunology 282
- Endocrine and Autonomic Systems 61
- Biological Psychiatry 21
- Physiology 214
Countries citing papers authored by Siming Ma
This map shows the geographic impact of Siming 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 Siming Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siming Ma more than expected).
Fields of papers citing papers by Siming Ma
This network shows the impact of papers produced by Siming 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 Siming Ma. The network helps show where Siming Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Siming 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 245 | |
| 2 | 2014 | 211 | |
| 3 | 2015 | 98 | |
| 4 | 2017 | 85 | |
| 5 | 2016 | 73 | |
| 6 | 2023 | 73 | |
| 7 | 2014 | 61 | |
| 8 | 2015 | 58 | |
| 9 | 2014 | 54 | |
| 10 | 2016 | 46 | |
| 11 | 2021 | 43 | |
| 12 | 2016 | 42 | |
| 13 | 2022 | 30 | |
| 14 | 2018 | 27 | |
| 15 | 2020 | 21 | |
| 16 | 2018 | 19 | |
| 17 | 2021 | 17 | |
| 18 | 2018 | 15 | |
| 19 | 2015 | 14 | |
| 20 | 2021 | 11 |
About Siming Ma
Siming Ma is a scholar working on Aging, Molecular Biology, Ecology, Physiology and Oncology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (11 papers), Fungal and yeast genetics research (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Marine animal studies overview (2 papers), interferon and immune responses (2 papers), Viral-associated cancers and disorders (2 papers), Immune Cell Function and Interaction (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Aging (338 citations), Immunology (282 citations), Endocrine and Autonomic Systems (61 citations), Biological Psychiatry (21 citations) and Physiology (214 citations). Siming Ma has collaborated with scholars based in United States, Singapore and Russia. Frequent co-authors include Vadim N. Gladyshev, Sun Hee Yim, Byung Cheon Lee, Maxim V. Gerashchenko, Alaattin Kaya, Sang‐Goo Lee, Fanxiu Zhu, Jianjun Wu, Lawrence G. Harshman and Zhen Hu. Their work appears in journals such as eLife, Nature Communications, Journal of Virology, Cell Metabolism and GeroScience.
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.