Weiya Ma

10.0k citations
154 papers · 8.8k · h-index 57

Impact in

Papers in

    • Melanoma and MAPK Pathways 15
    • Protein Kinase Regulation and GTPase Signaling 12
    • Cell death mechanisms and regulation 10
    • Pain Mechanisms and Treatments 51

Weiya Ma

152 papers receiving 8.6k citations

Peers

Weiya Ma
Comparison fields: 5 of 130
  • Geriatrics and Gerontology 372
  • Physiology 2.2k
  • Applied Microbiology and Biotechnology 163
  • Biochemistry 520
  • Cellular and Molecular Neuroscience 1.5k
Replace Tamar Amit with:
Tamar Amit Israel
Bao Ting Zhu United States
Ágnes Simonyi United States
Albert Y. Sun United States
Joaquı́n Jordán Spain
Maria S. Santos Portugal
Masamitsu Shimazawa Japan
Guibo Sun China
Karen T. Liby United States
Ana I. Rojo Spain
Weiya Ma relative to Tamar Amit Israel Tamar Amit's profile →
Citations per field
00.5×3.3×
Tamar Amit · 1×
Citations per year

Countries citing papers authored by Weiya Ma

Since Specialization
Citations

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

Fields of papers citing papers by Weiya Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Resveratrol-induced activation of p53 and apoptosis is mediated by extracellular-signal-regulated protein kinases and p38 kinase.
2001353
2 2006310
3 2006246
4 1997203
5 1998187
6 2002183
7 2008166
8
Essential role of p53 in phenethyl isothiocyanate-induced apoptosis.
1998165
9 1999149
10
Inhibition of epidermal growth factor-induced cell transformation and activator protein 1 activation by [6]-gingerol.
2001148
11 2005141
12 2001137
13 2001135
14 1998134
15 1999133
16 1997133
17 2007131
18 1999123
19 2002120
20 2007110

About Weiya Ma

Weiya Ma is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Oncology and Cancer Research, having authored 154 papers that have together received 8.8k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (51 papers), Neuropeptides and Animal Physiology (34 papers), Cancer-related Molecular Pathways (21 papers), Melanoma and MAPK Pathways (15 papers), Protein Kinase Regulation and GTPase Signaling (12 papers), Nerve injury and regeneration (11 papers), NF-κB Signaling Pathways (11 papers) and Cell death mechanisms and regulation (10 papers). The work is most often cited by research in Geriatrics and Gerontology (372 citations), Physiology (2.2k citations), Applied Microbiology and Biotechnology (163 citations), Biochemistry (520 citations) and Cellular and Molecular Neuroscience (1.5k citations). Weiya Ma has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Zigang Dong, Rémi Quirion, Ann M. Bode, Chuanshu Huang, James C. Eisenach, Mark A. Bisby, Feng Zhu, Qing‐Bai She, Jean‐Guy Chabot and Yong‐Yeon Cho. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Molecular Carcinogenesis, Brain Research and Pain.

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.

Explore authors with similar magnitude of impact