Takeshi Doi

5.1k citations
141 papers · 3.8k · 1 hit paper · h-index 33

Impact in

Papers in

Takeshi Doi

138 papers receiving 3.7k citations

Takeshi Doi's Hit Papers

Interleukin-2 Receptor β Chain Gene: Generation of Three Receptor Forms by Cloned Human α and β Chain cDNA's 1989 · 596 citations
5960+12+24Years since publication100200300400500

Peers

Takeshi Doi
Comparison fields: 5 of 149
  • Oceanography 896
  • Global and Planetary Change 1.2k
  • Atmospheric Science 989
  • Immunology 970
  • Immunology and Allergy 133
Replace Patrick J. Haley with:
Patrick J. Haley United States
Tor Knutsen Norway
Jennifer Waters United States
John Kaplan United States
Kevin F. Sullivan United States
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Nobuhiro Takahashi Japan
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Coralie L. Guérin France
Takeshi Doi relative to Patrick J. Haley United States Patrick J. Haley's profile →
Citations per field
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Citations per year

Countries citing papers authored by Takeshi Doi

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Interleukin-2 Receptor β Chain Gene: Generation of Three Receptor Forms by Cloned Human α and β Chain cDNA's
Hit paper breakdown →
1989596
2 1989342
3 2012163
4 2020102
5 200693
6 200084
7 199072
8 199069
9 201663
10 201762
11 200462
12 200658
13 200056
14 200455
15 200954
16 201253
17 200353
18 200050
19 201350
20 201649

About Takeshi Doi

Takeshi Doi is a scholar working on Global and Planetary Change, Atmospheric Science, Oceanography, Molecular Biology and Immunology, having authored 141 papers that have together received 3.8k indexed citations. Recurring topics across this work include Climate variability and models (60 papers), Meteorological Phenomena and Simulations (34 papers), Oceanographic and Atmospheric Processes (30 papers), Tropical and Extratropical Cyclones Research (26 papers), Immune Cell Function and Interaction (8 papers), Marine and coastal ecosystems (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Semiconductor Lasers and Optical Devices (5 papers). The work is most often cited by research in Oceanography (896 citations), Global and Planetary Change (1.2k citations), Atmospheric Science (989 citations), Immunology (970 citations) and Immunology and Allergy (133 citations). Takeshi Doi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Swadhin K. Behera, Toshio Yamagata, Tadatsugu Taniguchi, Masanori Hatakeyama, Seijiro Minamoto, Hisashi Mori, Takeshi Kono, Masayuki Miyasaka, Mitsuru Tsudo and Takashi Miyata. Their work appears in journals such as Journal of Climate, Climate Dynamics, Scientific Reports, Geophysical Research Letters and Journal of Nuclear Science and Technology.

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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