Ming Teng Koh

4.9k total citations
39 papers, 1.6k citations indexed

About

Ming Teng Koh is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Ming Teng Koh has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cellular and Molecular Neuroscience, 23 papers in Cognitive Neuroscience and 10 papers in Neurology. Recurrent topics in Ming Teng Koh's work include Neuroscience and Neuropharmacology Research (23 papers), Memory and Neural Mechanisms (23 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). Ming Teng Koh is often cited by papers focused on Neuroscience and Neuropharmacology Research (23 papers), Memory and Neural Mechanisms (23 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). Ming Teng Koh collaborates with scholars based in United States, Canada and Chile. Ming Teng Koh's co-authors include Michela Gallagher, Bow Tong Lett, Ilene L. Bernstein, V.L. Grant, Rebecca P. Haberman, Todd E. Thiele, Thierry Pedrazzini, Sharon Rosenzweig‐Lipson, Michael Byrne and Virginia L. Grant and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Ming Teng Koh

39 papers receiving 1.6k citations

Peers

Ming Teng Koh
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 954
  • Cognitive Neuroscience 658
  • Physiology 389
  • Molecular Biology 284
  • Neurology 255
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Marise B. Parent United States
Aline Marighetto France
Gregorio Segovia Spain
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Maria Gabriela Menezes Oliveira Brazil
Randal J. Nonneman United States
Tatiana Lima Ferreira Brazil
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Citations per field, relative to Ming Teng Koh
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Citations per year, relative to Ming Teng Koh
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Countries citing papers authored by Ming Teng Koh

Since Specialization
Citations

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

Fields of papers citing papers by Ming Teng Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Teng Koh. 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 Ming Teng Koh. The network helps show where Ming Teng Koh may publish in the future.

Co-authorship network of co-authors of Ming Teng Koh

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Teng Koh. A scholar is included among the top collaborators of Ming Teng Koh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Teng Koh. Ming Teng Koh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 13
2 16
3 8
4 65
5 37
6 31
7 25
8 1
9 44
10 91
11 21
12 140
13 35
14 50
15 46
16 84
17 19
18 7
19 141
20 6

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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