Dan Ma

577 citations
32 papers · 437 · h-index 10

Impact in

Papers in

Dan Ma

27 papers receiving 435 citations

Peers

Dan Ma
Comparison fields: 5 of 86
  • Genetics 80
  • Biological Psychiatry 17
  • Biochemistry 35
  • Cancer Research 53
  • Immunology 73
Replace Oswaldo A. Lozoya with:
Oswaldo A. Lozoya United States
Jacobus Hendricks South Africa
Boyu Zhang China
Shufang Du China
Sung‐Hee Pi South Korea
Anjali Nandal United States
Elina Idiiatullina China
Meng‐Yin Yang Taiwan
Fei Fei Gao China
Lin Ren China
Dan Ma relative to Oswaldo A. Lozoya United States Oswaldo A. Lozoya's profile →
Citations per field
00.5×4.5×
Oswaldo A. Lozoya · 1×
Citations per year

Countries citing papers authored by Dan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Dan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201984
2 202347
3 202343
4 202142
5 202339
6 202439
7 202335
8 202331
9 202214
10 201912
11 20238
12 20245
13 20245
14 20245
15 20234
16
Noncanonical Wnt5a Signaling Suppresses Hippo/TAZ-Mediated Osteogenesis Partly Through the Canonical Wnt Pathway in SCAPs
20224
17 20243
18 20143
19 20242
20 20252

About Dan Ma

Dan Ma is a scholar working on Molecular Biology, Immunology, Plant Science, Genetics and Civil and Structural Engineering, having authored 32 papers that have together received 437 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), Gut microbiota and health (3 papers), Immune cells in cancer (2 papers), Silicon Effects in Agriculture (2 papers), Mesenchymal stem cell research (2 papers), Aluminum toxicity and tolerance in plants and animals (2 papers), Plant Stress Responses and Tolerance (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Genetics (80 citations), Biological Psychiatry (17 citations), Biochemistry (35 citations), Cancer Research (53 citations) and Immunology (73 citations). Dan Ma has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Liyun Zhang, Ke Xu, Min Tian, Jinfang Gao, Gailian Zhang, Baoqi Yang, Jingwen Zhao, Juan Li, Liu Yang and Yazhen Su. Their work appears in journals such as International Immunopharmacology, International Journal of Molecular Sciences, Environment International, Environmental Science and Pollution Research and Stem Cell Research & Therapy.

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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