Eri Ichikawa

536 citations
12 papers · 438 · h-index 9

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • interferon and immune responses
    • Immune Response and Inflammation
    • Cytokine Signaling Pathways and Interactions
    • Cancer-related Molecular Pathways

Papers in

    • CRISPR and Genetic Engineering 2
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2
    • Immunotherapy and Immune Responses 2

Eri Ichikawa

12 papers receiving 430 citations

Peers

Eri Ichikawa
Comparison fields: 5 of 59
  • Immunology 233
  • Oncology 118
  • Cancer Research 46
  • Molecular Biology 179
  • Cell Biology 29
Replace Prudence N’guessan with:
Prudence N’guessan France
Yotam Harnik Israel
Theodoulakis Christofi Cyprus
Boris San Luis United States
Catherine O’Conor United States
Tania Charpentier Canada
Fazal H. Tabassam United States
Calvin Law United States
V. Ciolli Italy
Eri Ichikawa relative to Prudence N’guessan France Prudence N’guessan's profile →
Citations per field
00.5×1.5×1.9×
Prudence N’guessan · 1×
Citations per year

Countries citing papers authored by Eri Ichikawa

Since Specialization
Citations

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

Fields of papers citing papers by Eri Ichikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2004104
2 1998102
3 200581
4 200439
5 199529
6 201428
7 200720
8 201613
9 201911
10 20207
11 19943
12 20061

About Eri Ichikawa

Eri Ichikawa is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Food Science, having authored 12 papers that have together received 438 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Animal Genetics and Reproduction (2 papers), Food Quality and Safety Studies (2 papers), T-cell and B-cell Immunology (2 papers), CRISPR and Genetic Engineering (2 papers), Immunotherapy and Immune Responses (2 papers), Pancreatic function and diabetes (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Immunology (233 citations), Oncology (118 citations), Cancer Research (46 citations), Molecular Biology (179 citations) and Cell Biology (29 citations). Eri Ichikawa has collaborated with scholars based in Japan and United States. Frequent co-authors include Shigeaki Hida, Shinsuke Taki, Shinichi Miyagawa, Shinsuke Nakajima, Takashi Saito, Takuma Nakajima, Kinichiro Oda, Susumu Shimoyama, Kazuhiko Takahara and Kayo Inaba. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, The Journal of Immunology, Journal of Applied Animal Research, Experimental Cell Research and Human Pathology.

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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