Seiji Hongo

2.3k citations
61 papers · 1.5k · h-index 22

Impact in

    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Viral gastroenteritis research and epidemiology

Papers in

Seiji Hongo

59 papers receiving 1.5k citations

Peers

Seiji Hongo
Comparison fields: 5 of 64
  • Epidemiology 884
  • Infectious Diseases 434
  • Cardiology and Cardiovascular Medicine 346
  • Agronomy and Crop Science 168
  • Immunology 243
Replace Danielle Hickman with:
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Glynis Dunn United Kingdom
H. A. Feldman United States
Ian Tarpey United Kingdom
Catherine Thompson United Kingdom
Fandan Meng China
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Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by Seiji Hongo

Since Specialization
Citations

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

Fields of papers citing papers by Seiji Hongo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005139
2 2006128
3 200187
4 200986
5 200861
6 201458
7 200256
8 200252
9 200749
10 199745
11 201644
12 198844
13 200437
14 199436
15 201035
16 200434
17 199132
18 200731
19 199427
20 199226

About Seiji Hongo

Seiji Hongo is a scholar working on Epidemiology, Psychiatry and Mental health, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (32 papers), Respiratory viral infections research (20 papers), Bipolar Disorder and Treatment (15 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), interferon and immune responses (8 papers), RNA and protein synthesis mechanisms (7 papers), Viral gastroenteritis research and epidemiology (6 papers) and Viral Infections and Immunology Research (6 papers). The work is most often cited by research in Epidemiology (884 citations), Infectious Diseases (434 citations), Cardiology and Cardiovascular Medicine (346 citations), Agronomy and Crop Science (168 citations) and Immunology (243 citations). Seiji Hongo has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yoko Matsuzaki, Yasushi Muraki, Kanetsu Sugawara, Katsumi Mizuta, Noriko Katsushima, Hidekazu Nishimura, Kiyoto Nakamura, Emi Tsuchiya, Tsutomu Itagaki and Fumio Kitame. Their work appears in journals such as Journal of Virology, Journal of General Virology, Frontiers in Psychiatry, Virology and Journal of Clinical Microbiology.

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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