Mai Takeuchi

1.5k citations
58 papers · 1.0k · h-index 20

Impact in

Papers in

    • T-cell and Retrovirus Studies 13
    • Immune Cell Function and Interaction 7
    • Galectins and Cancer Biology 5
    • Viral-associated cancers and disorders 6

Mai Takeuchi

54 papers receiving 992 citations

Peers

Mai Takeuchi
Comparison fields: 5 of 69
  • Rheumatology 359
  • Pathology and Forensic Medicine 210
  • Oncology 262
  • Immunology 203
  • Genetics 90
Replace Samantha Paoletti with:
Samantha Paoletti Switzerland
Zenggang Pan United States
Yoshizo Kimura Japan
Hikaru Eto Japan
Patrick O. Emanuel United States
Bärbel Reininger Austria
Joseph F. Boland United States
Debbie L. Hardie United Kingdom
Patricia Garrido Castro Spain
Kosei Hasegawa Japan
Mai Takeuchi relative to Samantha Paoletti Switzerland Samantha Paoletti's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mai Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Mai Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201472
2 201571
3 201770
4 201265
5 200655
6 201352
7 201534
8 200534
9 201332
10 201532
11 201231
12 201431
13 202025
14 201925
15 201424
16 202021
17 202020
18 202020
19 200920
20 201620

About Mai Takeuchi

Mai Takeuchi is a scholar working on Immunology, Oncology, Rheumatology, Pathology and Forensic Medicine and Surgery, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include IgG4-Related and Inflammatory Diseases (15 papers), T-cell and Retrovirus Studies (13 papers), Lymphoma Diagnosis and Treatment (10 papers), Immune Cell Function and Interaction (7 papers), Neuroendocrine Tumor Research Advances (7 papers), Gastrointestinal disorders and treatments (6 papers), Viral-associated cancers and disorders (6 papers) and Galectins and Cancer Biology (5 papers). The work is most often cited by research in Rheumatology (359 citations), Pathology and Forensic Medicine (210 citations), Oncology (262 citations), Immunology (203 citations) and Genetics (90 citations). Mai Takeuchi has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Yasuharu Sato, Tadashi Yoshino, Yorihisa Orita, Katsuyoshi Takata, Kyotaro Ohno, Yuka Gion, Noriko Iwaki, Tomoyasu Tachibana, Koichi Ohshima and Toshihiro Ito. Their work appears in journals such as Scientific Reports, Modern Pathology, Hematological Oncology, Modern Rheumatology and Medical Molecular Morphology.

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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