Hirofumi Deguchi

847 citations
33 papers · 619 · h-index 14

Impact in

Papers in

Hirofumi Deguchi

30 papers receiving 591 citations

Peers

Hirofumi Deguchi
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 345
  • Clinical Biochemistry 93
  • Rheumatology 55
  • Infectious Diseases 59
  • Molecular Biology 230
Replace Maria Rohde with:
Maria Rohde Germany
Andrina J. Hougham United States
Dingding Xiong United States
D. A. Francis United Kingdom
Amy Kontorovich United States
Kensuke Hirasawa Netherlands
Shoshana Israel Israel
A. Laufer Israel
Mark A. Bowman United States
Natalie L. Stone Australia
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Citations per field
00.5×5.8×
Maria Rohde · 1×
Citations per year

Countries citing papers authored by Hirofumi Deguchi

Since Specialization
Citations

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

Fields of papers citing papers by Hirofumi Deguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992101
2 200094
3 199187
4 199257
5 199629
6 201125
7 198924
8 199722
9 198119
10 200419
11 198519
12 199214
13 200314
14 199813
15 199813
16 199210
17 20039
18 19859
19
[Influenza myocarditis--pathophysiology and developmental mechanism of myocarditis].
20039
20 19836

About Hirofumi Deguchi

Hirofumi Deguchi is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Immunology, Molecular Biology and Rheumatology, having authored 33 papers that have together received 619 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (20 papers), Cytomegalovirus and herpesvirus research (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Eosinophilic Disorders and Syndromes (3 papers), interferon and immune responses (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Herpesvirus Infections and Treatments (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (345 citations), Clinical Biochemistry (93 citations), Rheumatology (55 citations), Infectious Diseases (59 citations) and Molecular Biology (230 citations). Hirofumi Deguchi has collaborated with scholars based in Japan and United States. Frequent co-authors include Keishiro Kawamura, Yasushi Kitaura, Shigekazu Fujioka, Akira Ukimura, Hisashi Koide, Hisayoshi Suma, Kanji Hirai, Tadashi Isomura, Takayuki Ito and Satoru Sugiyama. Their work appears in journals such as American Heart Journal, Heart and Vessels, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Biochemical and Biophysical Research Communications and International Journal of Cardiology.

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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