Tomo‐o Ishikawa

2.7k citations
43 papers · 2.3k indexed · h-index 24

Impact in

  • Immunology top 5%
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Inflammatory mediators and NSAID effects

Papers in

Tomo‐o Ishikawa

43 papers receiving 2.2k citations

Peers

Tomo‐o Ishikawa
Comparison fields: 5 of 104
  • Immunology 489
  • Pharmacology 386
  • Cancer Research 260
  • Molecular Biology 1.1k
  • Oncology 395
Replace Shoichi Iseki with:
Shoichi Iseki Japan
Linhua Pang United Kingdom
Jeffrey L. Stock United States
John N. Snouwaert United States
Tomohiko Wakayama Japan
Takamitsu Hori Japan
Jian Tan United States
Bronwyn A. Evans Australia
Kenneth P. Chepenik United States
Yan Jiang China
Tomo‐o Ishikawa relative to Shoichi Iseki Japan Shoichi Iseki's profile →
Citations per field
00.5×1.5×
Shoichi Iseki · 1×
Citations per year

Countries citing papers authored by Tomo‐o Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Tomo‐o Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomo‐o Ishikawa. 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 Tomo‐o Ishikawa. The network helps show where Tomo‐o Ishikawa may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201713
2 201419
3 20148
4 20145
5 201428
6 201318
7 201013
8 2010125
9 201024
10 20107
11 201015
12 20109
13 200976
14 200820
15 200828
16 200643
17 200615
18 200495
19 199614
20 19916

About Tomo‐o Ishikawa

Tomo‐o Ishikawa is a scholar working on Pharmacology, Biochemistry, Genetics, Endocrine and Autonomic Systems and Molecular Biology, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (20 papers), Estrogen and related hormone effects (9 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Cancer-related gene regulation (4 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Kruppel-like factors research (3 papers). The work is most often cited by research in Immunology (489 citations), Pharmacology (386 citations), Cancer Research (260 citations), Molecular Biology (1.1k citations) and Oncology (395 citations). Tomo‐o Ishikawa has collaborated with scholars based in United States, Japan and Singapore. Frequent co-authors include Makoto M. Taketo, Harvey R. Herschman, Masanobu Oshima, Hiroko Oshima, Yoshitaka Tamai, Kazuaki Takaku, Hisahiro Yoshida, Michael F. Seldin, Shin-Ichi Nishikawa and Aaron M. Zorn. Their work appears in journals such as Molecular Oncology, PLoS ONE, Scientific Reports, Journal of Molecular and Cellular Cardiology and Molecular Imaging and Biology.

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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