Yun Ma

850 citations
19 papers · 693 · h-index 12

Impact in

Papers in

Yun Ma

18 papers receiving 680 citations

Peers

Yun Ma
Comparison fields: 5 of 86
  • Psychiatry and Mental health 157
  • Periodontics 34
  • Behavioral Neuroscience 24
  • Orthopedics and Sports Medicine 56
  • Cellular and Molecular Neuroscience 119
Replace Lina He with:
Lina He China
Frank Drießler Australia
Sho Hasegawa Japan
Bernhard G. Weiss Germany
Emanuela Mrak Italy
Ye-Hua Gan China
Aisha Siddiqah Ahmed Sweden
Tomoichirou Yamaai Japan
Barbara A. St. Pierre United States
Yun Ma relative to Lina He China Lina He's profile →
Citations per field
00.5×5×11.3×
Lina He · 1×
Citations per year

Countries citing papers authored by Yun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2012164
2 2013137
3 201176
4 201358
5 201147
6 201338
7 201538
8 201528
9 201826
10 201719
11 202018
12 202015
13 20118
14
[Effects of acupuncture intervention on expression of glucose-regulated protein 78 and C/EBP homologous protein in hippocampal CA 1 region in rats with hyperspasmia].
20148
15 20176
16 20254
17 20212
18 19951
19 20240

About Yun Ma

Yun Ma is a scholar working on Periodontics, Cellular and Molecular Neuroscience, Psychiatry and Mental health, Genetics and Physiology, having authored 19 papers that have together received 693 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers), Estrogen and related hormone effects (3 papers), Oral microbiology and periodontitis research (3 papers), Pain Mechanisms and Treatments (2 papers), Neurofibromatosis and Schwannoma Cases (2 papers), NF-κB Signaling Pathways (1 paper) and Neuroblastoma Research and Treatments (1 paper). The work is most often cited by research in Psychiatry and Mental health (157 citations), Periodontics (34 citations), Behavioral Neuroscience (24 citations), Orthopedics and Sports Medicine (56 citations) and Cellular and Molecular Neuroscience (119 citations). Yun Ma has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Florent Elefteriou, Xiangli Yang yang, Jeffry Stephen Nyman, Steve A. Munoz, Julie A. Rhoades Sterling, Niki L. Penner, Daniel S. Perrien, Andries Zijlstra, James Campbell and Tao Huan. Their work appears in journals such as Bone, BMC Medical Education, The FASEB Journal, Development and Endocrinology.

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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