Takaomi Ishida

3.6k citations
53 papers · 2.9k · h-index 28

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 2%
    • T-cell and Retrovirus Studies
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • interferon and immune responses

Papers in

    • T-cell and Retrovirus Studies 13
    • Immune Cell Function and Interaction 9
    • HIV Research and Treatment 21

Takaomi Ishida

52 papers receiving 2.9k citations

Peers

Takaomi Ishida
Comparison fields: 5 of 94
  • Virology 510
  • Immunology 1.5k
  • Cancer Research 938
  • Agronomy and Crop Science 288
  • Oncology 480
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Citations per field
00.5×6.4×
W C Greene · 1×
Citations per year

Countries citing papers authored by Takaomi Ishida

Since Specialization
Citations

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

Fields of papers citing papers by Takaomi Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996422
2 2000371
3 2002181
4 1997176
5 2002172
6 199796
7 200885
8 201275
9 200673
10 201370
11 199768
12 200966
13 200463
14 201163
15 200162
16 201555
17 200553
18 201351
19 200250
20 201342

About Takaomi Ishida

Takaomi Ishida is a scholar working on Immunology, Virology, Molecular Biology, Cancer Research and Infectious Diseases, having authored 53 papers that have together received 2.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (21 papers), T-cell and Retrovirus Studies (13 papers), NF-κB Signaling Pathways (12 papers), Immune Cell Function and Interaction (9 papers), Animal Disease Management and Epidemiology (8 papers), Vector-Borne Animal Diseases (7 papers), HIV/AIDS drug development and treatment (7 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Virology (510 citations), Immunology (1.5k citations), Cancer Research (938 citations), Agronomy and Crop Science (288 citations) and Oncology (480 citations). Takaomi Ishida has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Toshiki Watanabe, Jun‐ichiro Inoue, Sakura Azuma, Tadashi Yamamoto, Norihiko Kobayashi, Ryouichi Horie, Shigemi Aizawa, Asuka Naito, Nobuo Tsukamoto and Tsukasa Koiwa. Their work appears in journals such as Microbes and Infection, Cancer Science, Scientific Reports, Retrovirology and Journal of Biological Chemistry.

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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