W Ma

1.4k citations
21 papers · 1.3k · h-index 14

Impact in

Papers in

W Ma

19 papers receiving 1.2k citations

Peers

W Ma
Comparison fields: 5 of 102
  • Applied Microbiology and Biotechnology 89
  • Biochemistry 137
  • Physiology 503
  • Cellular and Molecular Neuroscience 298
  • Biological Psychiatry 37
Replace In Kyeom Kim with:
In Kyeom Kim South Korea
Yang‐Hyeok Jo South Korea
Man‐Lung Fung Hong Kong
Yashi Mi China
Abdelaziz M. Hussein Egypt
Satyanarayana S. V. Padi India
Doug Shytle United States
Ayat Kaeidi Iran
Sung‐Vin Yim South Korea
Geeta Negi India
W Ma relative to In Kyeom Kim South Korea In Kyeom Kim's profile →
Citations per field
00.5×2×4×6×7.4×
In Kyeom Kim · 1×
Citations per year

Countries citing papers authored by W Ma

Since Specialization
Citations

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

Fields of papers citing papers by W Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Inhibition of tumor promoter-induced activator protein 1 activation and cell transformation by tea polyphenols, (-)-epigallocatechin gallate, and theaflavins.
1997323
2 2002287
3 1997109
4 201083
5 199880
6 200276
7 201354
8 201550
9 200350
10 201633
11 199926
12 199620
13 201517
14 201215
15 202413
16 20259
17 20248
18 20006
19 20011
20 19871

About W Ma

W Ma is a scholar working on Cellular and Molecular Neuroscience, Physiology, Pharmacology, Oncology and Molecular Biology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (6 papers), Neuropeptides and Animal Physiology (6 papers), Cancer-related Molecular Pathways (3 papers), Nerve injury and regeneration (3 papers), Pediatric Pain Management Techniques (2 papers), Alzheimer's disease research and treatments (2 papers), Cannabis and Cannabinoid Research (1 paper) and Dialysis and Renal Disease Management (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (89 citations), Biochemistry (137 citations), Physiology (503 citations), Cellular and Molecular Neuroscience (298 citations) and Biological Psychiatry (37 citations). W Ma has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Mark A. Bisby, Chuanshu Huang, Z Dong, Chung Shu Yang, Wenhua Zheng, Satyabrata Kar, Stéphane Bastianetto, Françoise Mennicken, James C. Eisenach and Julia Chabot. Their work appears in journals such as Neuroscience, Oncogene, Free Radical Biology and Medicine, Cell Death and Disease and Carcinogenesis.

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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