Asahi Ito

2.0k citations
71 papers · 1.4k · h-index 20

Impact in

  • Immunology top 5%
    • T-cell and Retrovirus Studies
    • Immune Cell Function and Interaction
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments

Papers in

    • T-cell and Retrovirus Studies 24
    • Immune Cell Function and Interaction 10
    • Multiple Myeloma Research and Treatments 15

Asahi Ito

68 papers receiving 1.4k citations

Peers

Asahi Ito
Comparison fields: 5 of 71
  • Immunology 525
  • Hematology 240
  • Biological Psychiatry 41
  • Oncology 339
  • Agronomy and Crop Science 122
Replace Emanuela Ottaviani with:
Emanuela Ottaviani Italy
Lin Fu China
Seiichi Okabe Japan
Keisuke Horikawa Australia
Margarete Zaborski Germany
Sonia Minuzzo Italy
Barbara J. McClure Australia
Jin Hong Liu United States
Janet M.D. Plate United States
Kurt C. Gunter United States
Asahi Ito relative to Emanuela Ottaviani Italy Emanuela Ottaviani's profile →
Citations per field
00.5×10×17.4×
Emanuela Ottaviani · 1×
Citations per year

Countries citing papers authored by Asahi Ito

Since Specialization
Citations

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

Fields of papers citing papers by Asahi Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012154
2 2010146
3 2013102
4 2008100
5 201256
6 200956
7 201752
8 200946
9 200846
10 201544
11 201542
12 200836
13 201532
14 201528
15 200927
16 201725
17 201824
18 201323
19 201920
20 202020

About Asahi Ito

Asahi Ito is a scholar working on Immunology, Hematology, Molecular Biology, Oncology and Ecology, Evolution, Behavior and Systematics, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (24 papers), Multiple Myeloma Research and Treatments (15 papers), Vector-Borne Animal Diseases (12 papers), Immune Cell Function and Interaction (10 papers), Ubiquitin and proteasome pathways (9 papers), Protein Degradation and Inhibitors (9 papers), Animal Disease Management and Epidemiology (9 papers) and Lymphoma Diagnosis and Treatment (9 papers). The work is most often cited by research in Immunology (525 citations), Hematology (240 citations), Biological Psychiatry (41 citations), Oncology (339 citations) and Agronomy and Crop Science (122 citations). Asahi Ito has collaborated with scholars based in Japan, Germany and Egypt. Frequent co-authors include Takashi Ishida, Shinsuke Iida, Shigeru Kusumoto, Ryuzo Ueda, Masaki Ri, Hirokazu Komatsu, Hiroshi Inagaki, Atsushi Inagaki, Fumiko Mori and Susumu Suzuki. Their work appears in journals such as Blood, International Journal of Hematology, Cancer Science, The Journal of Immunology and Blood Cancer Journal.

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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