Xin‐Ming Ma
- Behavioral Neuroscience top 0.5%
- Stress Responses and Cortisol 21
- Biological Psychiatry top 1%
- Tryptophan and brain disorders 5
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms 6
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- Neuroscience and Neuropharmacology Research 20
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- Neuroendocrine regulation and behavior 15
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- Erythrocyte Function and Pathophysiology 4
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- Neuroinflammation and Neurodegeneration Mechanisms 4
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- Electrolyte and hormonal disorders 4
- Co-authors
- Stafford L. LightmanGreti AguileraRichard E. MainsBetty EipperHui QiaoAndrew LevyShu-Cheng AnChang Xu
- Journals
- Endocrinology (8 papers)Journal of Neuroscience (3 papers)Behavioural Brain Research (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Xin‐Ming Ma
73 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 135
- Behavioral Neuroscience 1.0k
- Biological Psychiatry 285
- Endocrine and Autonomic Systems 317
- Developmental Neuroscience 182
- Cellular and Molecular Neuroscience 782
Countries citing papers authored by Xin‐Ming Ma
This map shows the geographic impact of Xin‐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 Xin‐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 Xin‐Ming Ma more than expected).
Fields of papers citing papers by Xin‐Ming Ma
This network shows the impact of papers produced by Xin‐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 Xin‐Ming Ma. The network helps show where Xin‐Ming Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xin‐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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 20 | |
| 4 | 2021 | 18 | |
| 5 | 2020 | 5 | |
| 6 | 2019 | 54 | |
| 7 | 2019 | 26 | |
| 8 | 2019 | 52 | |
| 9 | 2018 | 10 | |
| 10 | 2016 | 30 | |
| 11 | 2014 | 24 | |
| 12 | 2014 | 87 | |
| 13 | 2012 | 11 | |
| 14 | 2011 | 29 | |
| 15 | 2010 | 40 | |
| 16 | 2007 | 53 | |
| 17 | 2006 | 71 | |
| 18 | 2003 | 115 | |
| 19 | 2002 | 19 | |
| 20 | 2001 | 18 |
About Xin‐Ming Ma
Xin‐Ming Ma is a scholar working on Behavioral Neuroscience, Biological Psychiatry, Developmental Neuroscience, Cellular and Molecular Neuroscience and Social Psychology, having authored 73 papers that have together received 2.9k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (21 papers), Neuroscience and Neuropharmacology Research (20 papers), Neuroendocrine regulation and behavior (15 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Tryptophan and brain disorders (5 papers), Erythrocyte Function and Pathophysiology (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Electrolyte and hormonal disorders (4 papers). The work is most often cited by research in Behavioral Neuroscience (1.0k citations), Biological Psychiatry (285 citations), Endocrine and Autonomic Systems (317 citations), Developmental Neuroscience (182 citations) and Cellular and Molecular Neuroscience (782 citations). Xin‐Ming Ma has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Stafford L. Lightman, Greti Aguilera, Richard E. Mains, Betty Eipper, Hui Qiao, Andrew Levy, Shu-Cheng An, Chang Xu, Jianping Huang and Yanping Wang. Their work appears in journals such as Endocrinology, Journal of Neuroscience, Behavioural Brain Research, BMC Neuroscience and Experimental Neurology.
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.