Bei Ma

1.8k citations
43 papers · 1.3k · 1 hit paper · h-index 17

Impact in

Papers in

Bei Ma

39 papers receiving 1.3k citations

Bei Ma's Hit Papers

Spinal cord injury: molecular mechanisms and therapeutic interventions 2023 · 356 citations
3560+1+2Years since publication100200300

Peers

Bei Ma
Comparison fields: 5 of 97
  • Physiology 371
  • Endocrine and Autonomic Systems 216
  • Sensory Systems 97
  • Behavioral Neuroscience 67
  • Cellular and Molecular Neuroscience 334
Replace Jeffrey C. Petruska with:
Jeffrey C. Petruska United States
Thierry Amédée France
Xuenong Bo United Kingdom
Fátima Ferreirinha Portugal
Sanja D. Novaković United States
Sadako Kuno Japan
George T. Somogyi United States
Lars Klimaschewski Austria
G Burnstock United Kingdom
Philippe Bodin United Kingdom
Bei Ma relative to Jeffrey C. Petruska United States Jeffrey C. Petruska's profile →
Citations per field
00.5×8.2×
Jeffrey C. Petruska · 1×
Citations per year

Countries citing papers authored by Bei Ma

Since Specialization
Citations

This map shows the geographic impact of Bei 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 Bei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Ma more than expected).

Fields of papers citing papers by Bei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bei 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 Bei Ma. The network helps show where Bei Ma may publish in the future.

Co-authors

The 25 scholars most cited alongside Bei 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 Bei Ma Line = papers co-authored together Bei Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Spinal cord injury: molecular mechanisms and therapeutic interventions
Hit paper breakdown →
2023356
2 2005305
3 200494
4 201347
5 201442
6 202242
7 201140
8 200739
9 201437
10 202234
11 201130
12 201626
13 201126
14 202324
15 200518
16 202218
17 200917
18 200515
19 202113
20
Estrogen altered facial mechanical pain threshold and trigeminal P2X3 receptor expression.
201113

About Bei Ma

Bei Ma is a scholar working on Physiology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Physiology and Molecular Biology, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (17 papers), Neuropeptides and Animal Physiology (7 papers), Neuroscience of respiration and sleep (7 papers), Spinal Cord Injury Research (7 papers), Pain Mechanisms and Treatments (6 papers), Stress Responses and Cortisol (4 papers), Signaling Pathways in Disease (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Physiology (371 citations), Endocrine and Autonomic Systems (216 citations), Sensory Systems (97 citations), Behavioral Neuroscience (67 citations) and Cellular and Molecular Neuroscience (334 citations). Bei Ma has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Geoffrey Burnstock, Rongrong Zhu, Xiaolie He, Li-hua Yu, Liming Cheng, Wei Xu, Jingwei Zhao, Xiao Hu, Yilong Ren and Zhaojie Wang. Their work appears in journals such as The FASEB Journal, Steroids, Endocrinology, Frontiers in Cellular Neuroscience and Journal of Nanobiotechnology.

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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