Katsumi Eguchi

2.1k citations
38 papers · 1.7k indexed · h-index 19
    • NF-κB Signaling Pathways 9
  • Immunology top 10%
    • Immune Response and Inflammation 4
    • Cell death mechanisms and regulation 14
    • Inflammasome and immune disorders 6
    • Muscle Physiology and Disorders 3
    • Amyloidosis: Diagnosis, Treatment, Outcomes 3
    • Signaling Pathways in Disease 3
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions 3

Katsumi Eguchi

38 papers receiving 1.7k citations

Peers

Katsumi Eguchi
Comparison fields: 5 of 100
  • Periodontics 90
  • Cancer Research 246
  • Immunology 336
  • Molecular Biology 1.1k
  • Oncology 406
Replace Chin‐Jung Hsu with:
Chin‐Jung Hsu Taiwan
Shigeru Ishiyama Japan
Hengwei Zhang China
Martin Stradner Austria
Korsa Khan United Kingdom
Ghada Alsaleh France
Andrew Bird United States
N. Miyasaka Japan
Fanlei Hu China
Khalda Amr Egypt
Katsumi Eguchi relative to Chin‐Jung Hsu Taiwan Chin‐Jung Hsu's profile →
Citations per field
00.5×4.7×
Chin‐Jung Hsu · 1×
Citations per year

Countries citing papers authored by Katsumi Eguchi

Since Specialization
Citations

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

Fields of papers citing papers by Katsumi Eguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201443
2 200924
3 200853
4 200727
5 200515
6 200416
7 200440
8 200342
9 200312
10 20028
11 20023
12 200124
13 200028
14 200022
15 200013
16 2000414
17 1999110
18 199987
19 19976
20 19977

About Katsumi Eguchi

Katsumi Eguchi is a scholar working on Cancer Research, Hepatology and Immunology, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (14 papers), NF-κB Signaling Pathways (9 papers), Inflammasome and immune disorders (6 papers), Immune Response and Inflammation (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Muscle Physiology and Disorders (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Periodontics (90 citations), Cancer Research (246 citations) and Immunology (336 citations). Katsumi Eguchi has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Atsushi Kawakami, Tomoki Nakashima, Satoshi Yamasaki, Yasuhiro Kobayashi, Hideaki Sakai, Hitoshi Sasaki, Kiyoshi Migita, Kazuhiko Nakao, Shigeru Kakuta and Tetsu Akiyama.

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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