Bei Ma

2.1k citations
44 papers · 1.6k · 1 hit paper · h-index 17

Impact in

Papers in

Bei Ma

40 papers receiving 1.6k citations

Bei Ma's Hit Papers

Spinal cord injury: molecular mechanisms and therapeutic interventions 2023 · 510 citations
5100+1+2Years since publication100200300400500

Peers

Bei Ma
Comparison fields: 5 of 100
  • Physiology 372
  • Endocrine and Autonomic Systems 210
  • Behavioral Neuroscience 72
  • Sensory Systems 98
  • Cellular and Molecular Neuroscience 340
Replace Jeffrey C. Petruska with:
Jeffrey C. Petruska United States
Patrizia Rubini Germany
Thierry Amédée France
Kristian Agmund Haanes Denmark
Keisuke Shibata Japan
Sadako Kuno Japan
Manuela Simonetti Germany
Kwok‐Kuen Cheung Hong Kong
Sanja D. Novaković United States
Fátima Ferreirinha Portugal
Bei Ma relative to Jeffrey C. Petruska United States Jeffrey C. Petruska's profile →
Citations per field
00.5×5×10×15.1×
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 44 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 →
2023510
2 2005329
3 2004104
4 202263
5 201350
6 201445
7 201143
8 202242
9 200742
10 201441
11 202333
12 201131
13 201130
14 201626
15 200920
16 200519
17 202219
18 202117
19 200516
20
Estrogen altered facial mechanical pain threshold and trigeminal P2X3 receptor expression.
201114

About Bei Ma

Bei Ma is a scholar working on Physiology, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Behavioral Neuroscience and Pathology and Forensic Medicine, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (17 papers), Neuroscience of respiration and sleep (7 papers), Spinal Cord Injury Research (6 papers), Neuropeptides and Animal Physiology (5 papers), Pain Mechanisms and Treatments (4 papers), Stress Responses and Cortisol (4 papers), Gastroesophageal reflux and treatments (3 papers) and Pregnancy and Medication Impact (3 papers). The work is most often cited by research in Physiology (372 citations), Endocrine and Autonomic Systems (210 citations), Behavioral Neuroscience (72 citations), Sensory Systems (98 citations) and Cellular and Molecular Neuroscience (340 citations). Bei Ma has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Geoffrey Burnstock, Rongrong Zhu, Xiaolie He, Liming Cheng, Wei Xu, Yilong Ren, Xiao Hu, Runzhi Huang, Jingwei Zhao and Zhaojie Wang. Their work appears in journals such as The FASEB Journal, Signal Transduction and Targeted Therapy, Endocrinology, Neuropharmacology and Steroids.

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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