Jun Taguchi

4.4k citations
196 papers · 2.9k · h-index 29

Impact in

  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Immunology top 5%
    • T-cell and Retrovirus Studies
    • Toxin Mechanisms and Immunotoxins

Papers in

    • Acute Myeloid Leukemia Research 34
    • Hematopoietic Stem Cell Transplantation 29
    • Chronic Myeloid Leukemia Treatments 19
    • T-cell and Retrovirus Studies 29

Jun Taguchi

185 papers receiving 2.9k citations

Peers

Jun Taguchi
Comparison fields: 5 of 104
  • Hematology 650
  • Immunology 822
  • Genetics 276
  • Pathology and Forensic Medicine 401
  • Neurology 312
Replace Douglas W. Kingma with:
Douglas W. Kingma United States
Masahiro Imamura Japan
Koji Nagafuji Japan
S.M. MacDonald United Kingdom
A K Ghosh United Kingdom
Eisei Kondo Japan
Z. Abdulaziz United Kingdom
Toru Motokura Japan
Arnaud Jaccard France
Bruce Patterson Canada
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Citations per field
00.5×
Douglas W. Kingma · 1×
Citations per year

Countries citing papers authored by Jun Taguchi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Taguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001197
2 2013125
3 1996120
4 1998106
5 201592
6 199872
7 199370
8 201867
9 200164
10 201563
11
Sharing of receptor subunits and signal transduction pathway between the IL-4 and IL-13 receptor system.
199956
12 199749
13 200048
14 200045
15 201644
16 201041
17 201240
18 200640
19 201740
20 199840

About Jun Taguchi

Jun Taguchi is a scholar working on Hematology, Immunology, Oncology, Pathology and Forensic Medicine and Neurology, having authored 196 papers that have together received 2.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (34 papers), Hematopoietic Stem Cell Transplantation (29 papers), T-cell and Retrovirus Studies (29 papers), Lymphoma Diagnosis and Treatment (27 papers), Chronic Myeloid Leukemia Treatments (19 papers), Vector-Borne Animal Diseases (16 papers), Acute Lymphoblastic Leukemia research (16 papers) and CNS Lymphoma Diagnosis and Treatment (14 papers). The work is most often cited by research in Hematology (650 citations), Immunology (822 citations), Genetics (276 citations), Pathology and Forensic Medicine (401 citations) and Neurology (312 citations). Jun Taguchi has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Raj K. Puri, Takashi Murata, Masamichi Kojiro, Koji Kawakami, Osamu Nakashima, Shin Fujisawa, Yasushi Miyazaki, Yoshiaki Ishigatsubo, Heiwa Kanamori and Naoto Tomita. Their work appears in journals such as Blood, International Journal of Hematology, Leukemia Research, Bone Marrow Transplantation and Cancer Science.

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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