K. Koga

1.4k citations
55 papers · 908 · h-index 16

Impact in

    • Dermatology and Skin Diseases
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Pain Mechanisms and Treatments 10
    • Asthma and respiratory diseases 3
    • Ion channel regulation and function 4
    • RNA Research and Splicing 3

K. Koga

51 papers receiving 889 citations

Peers

K. Koga
Comparison fields: 5 of 105
  • Dermatology 158
  • Neurology 118
  • Biological Psychiatry 30
  • Cellular and Molecular Neuroscience 207
  • Physiology 287
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Citations per field
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Citations per year

Countries citing papers authored by K. Koga

Since Specialization
Citations

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

Fields of papers citing papers by K. Koga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015151
2 201299
3 201857
4 202153
5 200738
6 198838
7 201937
8 202136
9 201731
10 201431
11 202030
12 200626
13 199617
14 199917
15 198817
16 202016
17 200515
18 198814
19 197414
20
Laparoscopic pylorus-preserving gastrectomy with intracorporeal hand-sewn anastomosis.
199714

About K. Koga

K. Koga is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Condensed Matter Physics, having authored 55 papers that have together received 908 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (10 papers), Dermatology and Skin Diseases (4 papers), Neurobiology and Insect Physiology Research (4 papers), Ion channel regulation and function (4 papers), Magnetic and transport properties of perovskites and related materials (3 papers), Asthma and respiratory diseases (3 papers), RNA Research and Splicing (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Dermatology (158 citations), Neurology (118 citations), Biological Psychiatry (30 citations), Cellular and Molecular Neuroscience (207 citations) and Physiology (287 citations). K. Koga has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Makoto Tsuda, Hidetoshi Tozaki‐Saitoh, Miho Shiratori‐Hayashi, Yuta Kohro, Kazuhide Inoue, Hidemasa Furue, Hideyuki Okano, T. Takabatake, Ayumi Hasegawa and Takeshi Nakahara. Their work appears in journals such as Molecular Brain, Nature Communications, Physica C Superconductivity, Journal of Neuroscience and Frontiers in Molecular Neuroscience.

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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