Quan Ma

765 citations
29 papers · 592 · h-index 12

Impact in

Papers in

    • RNA regulation and disease 2
    • Alzheimer's disease research and treatments 5
    • Pain Mechanisms and Treatments 4

Quan Ma

29 papers receiving 578 citations

Peers

Quan Ma
Comparison fields: 5 of 99
  • Health, Toxicology and Mutagenesis 107
  • Physiology 174
  • Nutrition and Dietetics 97
  • Biological Psychiatry 13
  • Biochemistry 29
Replace Ifeoluwa O. Awogbindin with:
Ifeoluwa O. Awogbindin Nigeria
Yanfei Li China
Run Liu China
Atef Tadros Fahim Egypt
Nayira A. Abdel Baky Egypt
Raksha Rani India
Melania Maria Serafini Italy
Syed Sanober Qadri India
Jong‐Choon Kim South Korea
Benhong Xu China
Quan Ma relative to Ifeoluwa O. Awogbindin Nigeria Ifeoluwa O. Awogbindin's profile →
Citations per field
00.5×2.8×
Ifeoluwa O. Awogbindin · 1×
Citations per year

Countries citing papers authored by Quan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Quan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201897
2 201492
3 201563
4 199859
5 201541
6 201535
7 201428
8 201827
9 202425
10 201821
11 201116
12 201614
13 202411
14 201411
15 202310
16 202310
17 20247
18 20165
19 20243
20 20143

About Quan Ma

Quan Ma is a scholar working on Molecular Biology, Physiology, Infectious Diseases, Cellular and Molecular Neuroscience and Epidemiology, having authored 29 papers that have together received 592 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Pain Mechanisms and Treatments (4 papers), Tuberculosis Research and Epidemiology (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), RNA regulation and disease (2 papers), Trace Elements in Health (2 papers), Neuropeptides and Animal Physiology (2 papers) and Pain Management and Treatment (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (107 citations), Physiology (174 citations), Nutrition and Dietetics (97 citations), Biological Psychiatry (13 citations) and Biochemistry (29 citations). Quan Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xifei Yang, Zhixiong Zhuang, Xiaojing Sui, Padmanaban Krishnan, Ming Ying, Jianjun Liu, Qian Zhang, Yougen Luo, Hongbin Chen and Shengli Tian. Their work appears in journals such as Journal of Alzheimer s Disease, Frontiers in Immunology, Biochemical and Biophysical Research Communications, Frontiers in Cellular and Infection Microbiology and Cell 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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