Akemi Kosaka

2.7k citations
44 papers · 2.1k · h-index 21

Impact in

  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Immune Response and Inflammation
  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immunotherapy and Immune Responses 18
    • Immune Cell Function and Interaction 13
    • interferon and immune responses 10
    • Immune cells in cancer 7
    • Immune Response and Inflammation 6
    • T-cell and B-cell Immunology 3
    • CAR-T cell therapy research 9
    • Cancer Immunotherapy and Biomarkers 9

Akemi Kosaka

42 papers receiving 2.1k citations

Peers

Akemi Kosaka
Comparison fields: 5 of 89
  • Immunology 1.2k
  • Oncology 845
  • Genetics 171
  • Infectious Diseases 208
  • Biotechnology 85
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Citations per field
00.5×1.5×1.9×
Elizabeth E. Eynon · 1×
Citations per year

Countries citing papers authored by Akemi Kosaka

Since Specialization
Citations

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

Fields of papers citing papers by Akemi Kosaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015392
2 2014217
3 2013170
4 2017166
5 2017133
6 2008122
7 2011106
8 201495
9 201392
10 200460
11 200356
12 202150
13 201249
14 201041
15 201433
16 201631
17 202227
18 201526
19 200424
20 202122

About Akemi Kosaka

Akemi Kosaka is a scholar working on Immunology, Oncology, Infectious Diseases, Molecular Biology and Biotechnology, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (18 papers), Immune Cell Function and Interaction (13 papers), interferon and immune responses (10 papers), CAR-T cell therapy research (9 papers), Cancer Immunotherapy and Biomarkers (9 papers), Immune cells in cancer (7 papers), Immune Response and Inflammation (6 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (845 citations), Genetics (171 citations), Infectious Diseases (208 citations) and Biotechnology (85 citations). Akemi Kosaka has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Takayuki Ohkuri, Noriko M. Tsuji, Hideho Okada, Toshihiro Nagato, Hiroya Kobayashi, Kenzo Ohara, Takumi Kumai, Kensuke Oikawa, Yasuaki Harabuchi and Maki Ikeura. Their work appears in journals such as Cancer Immunology Immunotherapy, Cancer Science, OncoImmunology, Biochemical and Biophysical Research Communications and International Immunopharmacology.

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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