Akiko Iwasaki

75.0k citations
264 papers · 36.8k indexed · 26 hit papers · h-index 91
  • Immunology top 0.01%
    • Immunotherapy and Immune Responses 65
    • Immune Cell Function and Interaction 55
    • Immune Response and Inflammation 54
    • T-cell and B-cell Immunology 46
    • interferon and immune responses 42
    • SARS-CoV-2 and COVID-19 Research 29
  • Virology top 0.5%
  • Epidemiology top 0.05%
    • Herpesvirus Infections and Treatments 23
  • Microbiology top 0.2%
    • Long-Term Effects of COVID-19 18

Akiko Iwasaki

250 papers receiving 36.2k citations

Hit Papers

Long ...15019992026200820174008001.2k

Peers

Akiko Iwasaki
Comparison fields: 5 of 194
  • Immunology 20.5k
  • Infectious Diseases 7.4k
  • Virology 1.2k
  • Epidemiology 8.8k
  • Microbiology 1.1k
Replace Bali Pulendran with:
Bali Pulendran United States
Genhong Cheng United States
Leo A. B. Joosten Netherlands
Adolfo Garcı́a-Sastre United States
Robert D. Schreiber United States
Ramnik J. Xavier United States
Michael Diamond United States
Herbert W. Virgin United States
Antonio Lanzavecchia Switzerland
Federica Sallusto Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Akiko Iwasaki

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Iwasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202364
3 202270
4 202240
5
The neurobiology of long COVIDbreakdown →
2022229
6 202211
7 202137
8
The first 12 months of COVID-19: a timeline of immunological insightsbreakdown →
2021255
9 2019228
10 201939
11 201914
12 20196
13 201880
14 201744
15 2016186
16 2015185
17 2014327
18 2010286
19 2009483
20 2005114

About Akiko Iwasaki

Akiko Iwasaki is a scholar working on Immunology, Infectious Diseases and Virology, having authored 264 papers that have together received 36.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (65 papers), Immune Cell Function and Interaction (55 papers), Immune Response and Inflammation (54 papers), T-cell and B-cell Immunology (46 papers), interferon and immune responses (42 papers), SARS-CoV-2 and COVID-19 Research (29 papers), Herpesvirus Infections and Treatments (23 papers) and Long-Term Effects of COVID-19 (18 papers). The work is most often cited by research in Immunology (20.5k citations), Infectious Diseases (7.4k citations) and Virology (1.2k citations). Akiko Iwasaki has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Ruslan Medzhitov, Brian L. Kelsall, Ayuko Sato, Jennifer M. Lund, Heung Kyu Lee, Iris K. Pang, Takeshi Ichinohe, Padmini S. Pillai, Norifumi Iijima and Melissa Linehan. Their work appears in journals such as Nature, Science and Cell.

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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