Thong Chi Ma

1.9k citations
25 papers · 1.5k · h-index 18

Impact in

  • Neurology top 2%
    • Parkinson's Disease Mechanisms and Treatments
  • Aging top 10%

Papers in

Thong Chi Ma

24 papers receiving 1.5k citations

Peers

Thong Chi Ma
Comparison fields: 5 of 65
  • Neurology 430
  • Aging 24
  • Cellular and Molecular Neuroscience 203
  • Neurology 37
  • Developmental Neuroscience 13
Replace Andrii Domanskyi with:
Andrii Domanskyi Finland
Shun Yu China
Elizabeth J. Wille United States
Sung-Ung Kang United States
Michael L. Garcia United States
Yu Jin Hwang South Korea
Carmen R. Sunico Spain
Cristina Guardia‐Laguarta United States
Lucı́a Tabares Spain
Maria G. Damiano Italy
Thong Chi Ma relative to Andrii Domanskyi Finland Andrii Domanskyi's profile →
Citations per field
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Andrii Domanskyi · 1×
Citations per year

Countries citing papers authored by Thong Chi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Thong Chi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019202
2 2006198
3 2018193
4 2010140
5 2013127
6 201585
7 202074
8 201073
9 200958
10 202450
11 201548
12 201848
13 201445
14 202039
15 202038
16 201226
17 200623
18 202520
19 201417
20 201315

About Thong Chi Ma

Thong Chi Ma is a scholar working on Cellular and Molecular Neuroscience, Neurology, Cancer Research, Molecular Biology and Nuclear Energy and Engineering, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Nerve injury and regeneration (4 papers), Cancer, Hypoxia, and Metabolism (2 papers), Neuroscience and Neuropharmacology Research (1 paper), Genetic Neurodegenerative Diseases (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Neurology (430 citations), Aging (24 citations), Cellular and Molecular Neuroscience (203 citations), Neurology (37 citations) and Developmental Neuroscience (13 citations). Thong Chi Ma has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Dianna E. Willis, Un Jung Kang, Rajiv R. Ratan, Kari R. Hoyt, Samantha J. Hutten, Jason A. Funk, Graham Fairfoul, Mohammad Shahnawaz, Amelia K. Boehme and A.J.E Green. Their work appears in journals such as Movement Disorders, Frontiers in Molecular Neuroscience, Antioxidants and Redox Signaling, Journal of Neuroscience and eLife.

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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