Keran Ma

21 papers receiving 540 citations

Peers

Keran Ma
Comparison fields: 5 of 85
  • Neurology 104
  • Biological Psychiatry 25
  • Cellular and Molecular Neuroscience 164
  • Physiology 197
  • Developmental Neuroscience 26
Replace Kelsey M. Greathouse with:
Kelsey M. Greathouse United States
Steven D. Stockton United States
Hannah Brautigam United States
Chitra Vinnakota New Zealand
Maryam Sardari Iran
Linda Garcés‐Ramírez Mexico
Jea Kwon South Korea
Thulani H. Palpagama New Zealand
Rola Ismail Denmark
Tina Roostaei United States
Keran Ma relative to Kelsey M. Greathouse United States Kelsey M. Greathouse's profile →
Citations per field
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Kelsey M. Greathouse · 1×
Citations per year

Countries citing papers authored by Keran Ma

Since Specialization
Citations

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

Fields of papers citing papers by Keran Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018171
2 2012130
3 201266
4 201445
5 202024
6 201423
7 201117
8 202314
9 201611
10 202111
11 20229
12 20244
13 20233
14 20233
15 20243
16 20233
17 20193
18 20212
19 20232
20 20232

About Keran Ma

Keran Ma is a scholar working on Physiology, Psychiatry and Mental health, Molecular Biology, Cognitive Neuroscience and Neurology, having authored 22 papers that have together received 547 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Epilepsy research and treatment (5 papers), Functional Brain Connectivity Studies (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Biochemical effects in animals (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Neurology (104 citations), Biological Psychiatry (25 citations), Cellular and Molecular Neuroscience (164 citations), Physiology (197 citations) and Developmental Neuroscience (26 citations). Keran Ma has collaborated with scholars based in China, Canada and France. Frequent co-authors include JoAnne McLaurin, Lynsie A.M. Thomason, Kaitlyn Ho, Inma Cobos, Md. Abdullah Saeed Khan, Jorge J. Palop, Mary E. Brown, Bojana Stefanovic, Li Gan and Magdalena Martínez‐Losa. Their work appears in journals such as Epilepsy & Behavior, Frontiers in Human Neuroscience, Current Alzheimer Research, Journal of Neuroscience and Virus Research.

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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