Duk-Su Koh

3.8k total citations · 1 hit paper
44 papers, 3.1k citations indexed

About

Duk-Su Koh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Duk-Su Koh has authored 44 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 15 papers in Surgery. Recurrent topics in Duk-Su Koh's work include Neuroscience and Neuropharmacology Research (13 papers), Pancreatic function and diabetes (13 papers) and Ion channel regulation and function (11 papers). Duk-Su Koh is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Pancreatic function and diabetes (13 papers) and Ion channel regulation and function (11 papers). Duk-Su Koh collaborates with scholars based in United States, South Korea and Germany. Duk-Su Koh's co-authors include Péter Jónás, Bert Sakmann, Jörg R. P. Geiger, Bertil Hille, Thorsten Melcher, P. H. Seeburg, Hannah Monyer, Nail Burnashev, R. Brusa and Frank Zimmermann and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Duk-Su Koh

44 papers receiving 3.1k citations

Hit Papers

Relative abundance of subunit mRNAs determines gating and... 1995 2026 2005 2015 1995 250 500 750 1000

Peers

Duk-Su Koh
Comparison fields: 5 of 110
  • Cellular and Molecular Neuroscience 1.8k
  • Molecular Biology 1.8k
  • Cognitive Neuroscience 501
  • Surgery 355
  • Neurology 289
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Citations per field, relative to Duk-Su Koh
Duk-Su Koh · 1×
Citations per year, relative to Duk-Su Koh
Duk-Su Koh · 1×

Countries citing papers authored by Duk-Su Koh

Since Specialization
Citations

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

Fields of papers citing papers by Duk-Su Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duk-Su 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 Duk-Su Koh. The network helps show where Duk-Su Koh may publish in the future.

Co-authorship network of co-authors of Duk-Su Koh

This figure shows the co-authorship network connecting the top 25 collaborators of Duk-Su Koh. A scholar is included among the top collaborators of Duk-Su 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 Duk-Su Koh. Duk-Su 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 10
2 14
3 88
4 8
5 2
6 11
7 5
8 29
9 19
10 22
11 9
12 36
13 34
14 9
15 7
16 151
17 24
18 180
19
Relative abundance of subunit mRNAs determines gating and Ca2+ permeability of AMPA receptors in principal neurons and interneurons in rat CNS breakdown →
1030
20 52

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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