Ai‐Niu Ma

665 citations
18 papers · 581 · h-index 14

Impact in

Papers in

    • Pain Mechanisms and Treatments 6
    • Biochemical effects in animals 2
    • Epigenetics and DNA Methylation 3
    • RNA modifications and cancer 2

Ai‐Niu Ma

18 papers receiving 574 citations

Peers

Ai‐Niu Ma
Comparison fields: 5 of 82
  • Pharmacology 74
  • Cellular and Molecular Neuroscience 139
  • Sensory Systems 36
  • Physiology 180
  • Biological Psychiatry 16
Replace Chang Yell Shin with:
Chang Yell Shin South Korea
Mohaddeseh Sadat Alavi Iran
Michael J. Garle United Kingdom
Nemat Khan Australia
Jorge E. Torres‐López Mexico
Prashanth Komirishetty India
Jin-Koo Lee South Korea
Yun‐Beom Sim South Korea
Maurizio Dalle Carbonare Italy
Haibo Yu China
Ai‐Niu Ma relative to Chang Yell Shin South Korea Chang Yell Shin's profile →
Citations per field
00.5×1.5×
Chang Yell Shin · 1×
Citations per year

Countries citing papers authored by Ai‐Niu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ai‐Niu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2014116
2 201273
3 201469
4 201453
5 201149
6 200742
7 201227
8 201025
9 201324
10 201518
11 201315
12 201015
13 201415
14 201013
15 201610
16 20119
17 20085
18 20143

About Ai‐Niu Ma

Ai‐Niu Ma is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Biochemistry and Pathology and Forensic Medicine, having authored 18 papers that have together received 581 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (6 papers), Epigenetics and DNA Methylation (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neuropeptides and Animal Physiology (2 papers), Biochemical effects in animals (2 papers), RNA modifications and cancer (2 papers) and Exercise and Physiological Responses (2 papers). The work is most often cited by research in Pharmacology (74 citations), Cellular and Molecular Neuroscience (139 citations), Sensory Systems (36 citations), Physiology (180 citations) and Biological Psychiatry (16 citations). Ai‐Niu Ma has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Yong‐Xiang Wang, Nian Gong, Hui Fan, Qi Xiao, Yanchao Wang, Bin Zhu, Teng‐Fei Li, Antti Pertovaara, Xinyan Li and Jinlu Huang. Their work appears in journals such as Pharmacology Biochemistry and Behavior, Neuropharmacology, Biochemical and Biophysical Research Communications, British Journal of Pharmacology and Pharmacological Reports.

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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