Xin‐Ming Ma

4.1k citations
75 papers · 3.4k · h-index 33

Impact in

Papers in

Xin‐Ming Ma

75 papers receiving 3.4k citations

Peers

Xin‐Ming Ma
Comparison fields: 5 of 145
  • Behavioral Neuroscience 1.1k
  • Biological Psychiatry 366
  • Endocrine and Autonomic Systems 337
  • Developmental Neuroscience 204
  • Cellular and Molecular Neuroscience 892
Replace Michael Tsoory with:
Michael Tsoory Israel
Mayumi Nishi Japan
Krisztina Kovács Hungary
Damian G. Zuloaga United States
Shusaku Uchida Japan
Maria Giuseppina Pisu Italy
Linda I. Perrotti United States
Víctor May United States
Edward W. Hillhouse United Kingdom
Deena M. Walker United States
Xin‐Ming Ma relative to Michael Tsoory Israel Michael Tsoory's profile →
Citations per field
00.5×2.6×
Michael Tsoory · 1×
Citations per year

Countries citing papers authored by Xin‐Ming Ma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Xin‐Ming Ma Line = papers co-authored together Xin‐Ming Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016351
2 1999169
3 1998161
4 1997156
5 2008139
6 2017121
7 2003120
8 201491
9 201687
10 200882
11 200180
12 199978
13 200277
14 200275
15 200674
16 201766
17 201065
18 199965
19 199765
20 201759

About Xin‐Ming Ma

Xin‐Ming Ma is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Molecular Biology, Social Psychology and Physiology, having authored 75 papers that have together received 3.4k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (22 papers), Neuroscience and Neuropharmacology Research (19 papers), Neuroendocrine regulation and behavior (16 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Tryptophan and brain disorders (5 papers), Cellular transport and secretion (4 papers), Erythrocyte Function and Pathophysiology (4 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). The work is most often cited by research in Behavioral Neuroscience (1.1k citations), Biological Psychiatry (366 citations), Endocrine and Autonomic Systems (337 citations), Developmental Neuroscience (204 citations) and Cellular and Molecular Neuroscience (892 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, Betty Eipper, Richard E. Mains, Hui Qiao, Shu-Cheng An, Chang Xu, Andrew Levy, Jianping Huang and Drew D. Kiraly. Their work appears in journals such as Endocrinology, Journal of Neuroscience, Molecular Psychiatry, Neural Plasticity and The Journal of Comparative 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.

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