Daisuke Ito

864 citations
36 papers · 591 · h-index 15

Impact in

Papers in

Daisuke Ito

35 papers receiving 589 citations

Peers

Daisuke Ito
Comparison fields: 5 of 55
  • Parasitology 122
  • Public Health, Environmental and Occupational Health 442
  • Immunology 170
  • Virology 29
  • Molecular Biology 180
Replace Inge Holm with:
Inge Holm France
Hideyuki Iriko Japan
Olivier Gorgette France
Rana Chattopadhyay United States
Pamela Orjuela-Sánchez United States
Wouter Graumans Netherlands
Shusuke Nakazawa Japan
Deep C. Kaushal India
Ben C. L. van Schaijk Netherlands
Rapatbhorn Patrapuvich Thailand
Daisuke Ito relative to Inge Holm France Inge Holm's profile →
Citations per field
00.5×2.9×
Inge Holm · 1×
Citations per year

Countries citing papers authored by Daisuke Ito

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201775
2 201345
3 201739
4 201338
5 201234
6 201332
7 201132
8 201624
9 201823
10 201523
11 201622
12 201719
13 201817
14 199717
15 202017
16 201913
17 202412
18 201312
19 200911
20 201811

About Daisuke Ito

Daisuke Ito is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Parasitology, Immunology and Oncology, having authored 36 papers that have together received 591 indexed citations. Recurring topics across this work include Malaria Research and Control (22 papers), Mosquito-borne diseases and control (15 papers), Parasites and Host Interactions (6 papers), Complement system in diseases (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Vector-borne infectious diseases (5 papers), Lipid Membrane Structure and Behavior (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Parasitology (122 citations), Public Health, Environmental and Occupational Health (442 citations), Immunology (170 citations), Virology (29 citations) and Molecular Biology (180 citations). Daisuke Ito has collaborated with scholars based in Japan, Thailand and United States. Frequent co-authors include Takafumi Tsuboi, Sanjay A. Desai, Eizo Takashima, Marc A. Schureck, Motomi Torii, Eun‐Taek Han, Jetsumon Sattabongkot, Amporn Thongkukiatkul, Hitoshi Otsuki and Yang Cheng. Their work appears in journals such as Scientific Reports, Infection and Immunity, Malaria Journal, Frontiers in Cellular and Infection Microbiology and Vaccine.

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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