Shosuke Imai

3.5k citations
37 papers · 2.7k · h-index 23

Impact in

  • Oncology top 2%
    • Viral-associated cancers and disorders
    • Microbial infections and disease research

Papers in

    • Viral-associated cancers and disorders 23
    • T-cell and Retrovirus Studies 6
    • Immune Cell Function and Interaction 5
    • Immune Response and Inflammation 5

Shosuke Imai

37 papers receiving 2.6k citations

Peers

Shosuke Imai
Comparison fields: 5 of 101
  • Oncology 1.3k
  • Microbiology 283
  • Pathology and Forensic Medicine 653
  • Immunology 749
  • Infectious Diseases 525
Replace Masanori Daibata with:
Masanori Daibata Japan
D Olive France
Mattias Collin Sweden
Aloïs B. Lang Switzerland
Dennis A. Hanson United States
Yolande Richard France
Kanji Hirai Japan
Norton S. Taichman United States
Helen Tighe United States
John G. Nedrud United States
Shosuke Imai relative to Masanori Daibata Japan Masanori Daibata's profile →
Citations per field
00.5×1.5×1.9×
Masanori Daibata · 1×
Citations per year

Countries citing papers authored by Shosuke Imai

Since Specialization
Citations

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

Fields of papers citing papers by Shosuke Imai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005306
2 1998257
3 2009240
4 1988226
5 2003215
6 2005202
7 2003166
8 2006162
9 1996127
10 2004117
11 199981
12 199966
13 200356
14 199352
15 200044
16 200529
17 200529
18 200428
19 200228
20 199827

About Shosuke Imai

Shosuke Imai is a scholar working on Oncology, Immunology, Pathology and Forensic Medicine, Infectious Diseases and Molecular Biology, having authored 37 papers that have together received 2.7k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (23 papers), Lymphoma Diagnosis and Treatment (13 papers), T-cell and Retrovirus Studies (6 papers), Immune Cell Function and Interaction (5 papers), Parvovirus B19 Infection Studies (5 papers), Immune Response and Inflammation (5 papers), Bacteriophages and microbial interactions (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Oncology (1.3k citations), Microbiology (283 citations), Pathology and Forensic Medicine (653 citations), Immunology (749 citations) and Infectious Diseases (525 citations). Shosuke Imai has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Kenzo Takada, Jun Nishikawa, Hiroshi Wakiguchi, Shigenobu Matsuzaki, Masayuki Kuroda, Mikiya Fujieda, Keisei Kawa, Jumpei Uchiyama, Takako Ujihara and Toyoro Õsato. Their work appears in journals such as Journal of Virology, Cancer, Virology, Journal of Medical Virology and The Journal of Infectious Diseases.

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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