I. Ishida

1.5k citations
37 papers · 1.2k indexed · h-index 20

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Nephrology top 10%

Papers in

I. Ishida

37 papers receiving 1.2k citations

Peers

I. Ishida
Comparison fields: 5 of 94
  • Immunology 551
  • Nephrology 54
  • Cellular and Molecular Neuroscience 134
  • Pharmacology 98
  • Molecular Biology 384
Replace Peter L Whitfeld with:
Peter L Whitfeld Australia
Carlisle P. Landel United States
Claudie Lemercier France
Y. Cetin Germany
Timothy Nottoli United States
Patricia L. Podolin United States
JI Gallin United States
Xianjin Yi United States
Elaine Lourenço Brazil
W Lütz United States
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Citations per field
00.5×5.2×
Peter L Whitfeld · 1×
Citations per year

Countries citing papers authored by I. Ishida

Since Specialization
Citations

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

Fields of papers citing papers by I. Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989144
2 1990104
3 1989102
4 199093
5 200386
6 200369
7 198852
8 198751
9 199850
10 199948
11 198747
12 198347
13 198644
14 198943
15 200234
16 199831
17 198631
18 200129
19 200821
20 200219

About I. Ishida

I. Ishida is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Epidemiology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), CAR-T cell therapy research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), CRISPR and Genetic Engineering (3 papers), Oral microbiology and periodontitis research (3 papers), Dialysis and Renal Disease Management (2 papers), Apelin-related biomedical research (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Immunology (551 citations), Nephrology (54 citations), Cellular and Molecular Neuroscience (134 citations), Pharmacology (98 citations) and Molecular Biology (384 citations). I. Ishida has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Takao Deguchi, Susumu Tonegawa, Marc Bonneville, Shigeyoshi Itohara, Osami Kanagawa, Anton Berns, Kazuma Tomizuka, Charles A. Janeway, Nagayasu Nakanishi and Yohtaroh Takagaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Virology, Journal of Neuroscience, Journal of Periodontal Research and Placenta.

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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