Kunitada Shimotohno

27.3k citations
355 papers · 21.8k indexed · 4 hit papers · h-index 74

Kunitada Shimotohno

352 papers receiving 20.8k citations

Hit Papers

The lipid droplet is an important organelle f...99519902026200220142505007501000

Peers

Kunitada Shimotohno
Comparison fields: 5 of 149
  • Hepatology 10.4k
  • Virology 1.3k
  • Epidemiology 8.5k
  • Immunology 4.7k
  • Agronomy and Crop Science 2.2k
Replace Takaji Wakita with:
Takaji Wakita Japan
Pierre Tiollais France
Kui Li United States
Timothy M. Block United States
Jean Dubuisson France
John Hiscott Canada
Michinori Kohara Japan
Darius Moradpour Switzerland
Robert H. Silverman United States
Francis V. Chisari United States
Kunitada Shimotohno relative to Takaji Wakita Japan Takaji Wakita's profile →
Citations per field
00.5×3.9×
Takaji Wakita · 1×
Citations per year

Countries citing papers authored by Kunitada Shimotohno

Since Specialization
Citations

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

Fields of papers citing papers by Kunitada Shimotohno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20237
3 202029
4 2010141
5 201052
6 200915
7 2007387
8 20071
9 200062
10 199936
11
Tyrosine kinase inhibitor herbimycin A reduces the stability of cyclin-dependent kinase Cdk6 protein in T-cells.
19967
12 19956
13 19942
14 199321
15
Screening of some Indonesian medicinal plants for inhibitory effects on HIV-1 protease
199213
16 199212
17 19921
18 199011
19 198992
20 19861

About Kunitada Shimotohno

Kunitada Shimotohno is a scholar working on Hepatology, Agronomy and Crop Science and Immunology, having authored 355 papers that have together received 21.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (169 papers), Hepatitis B Virus Studies (122 papers), T-cell and Retrovirus Studies (76 papers), Animal Disease Management and Epidemiology (64 papers), Vector-Borne Animal Diseases (57 papers), Liver Disease Diagnosis and Treatment (51 papers), Animal Virus Infections Studies (29 papers) and Monoclonal and Polyclonal Antibodies Research (29 papers). The work is most often cited by research in Hepatology (10.4k citations), Virology (1.3k citations) and Epidemiology (8.5k citations). Kunitada Shimotohno has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Makoto Hijikata, Nobuyuki Kato, Yuko Ootsuyama, Koichi Watashi, Howard M. Temin, Takayuki Hishiki, Yasunori Tanji, Shogo Ohkoshi, Yoshiki Murakami and Tsuyoshi Akagi. Their work appears in journals such as Journal of Virology, Biochemical and Biophysical Research Communications, Virology, FEBS Letters and Proceedings of the National Academy of Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026