Hisatoshi Kaneko

1.4k citations
32 papers · 1.1k indexed · 1 hit paper · h-index 15

Hisatoshi Kaneko

31 papers receiving 1.1k citations

Hit Papers

Tolerance of loop-mediated isothermal amplification to a ...5642006202620122019100200300400500

Peers

Hisatoshi Kaneko
Comparison fields: 5 of 80
  • Infectious Diseases 238
  • Epidemiology 401
  • Endocrinology 53
  • Genetics 286
  • Virology 44
Replace Hee‐Bok Oh with:
Hee‐Bok Oh South Korea
Fabrício Souza Campos Brazil
Paolo Piazza United Kingdom
Ravi Kumar Gandham India
Jason Sawyer United Kingdom
Juliana Felipetto Cargnelutti Brazil
Vito G. DelVecchio United States
Raimond Lugert Germany
Regina Konrad Germany
Hisatoshi Kaneko relative to Hee‐Bok Oh South Korea Hee‐Bok Oh's profile →
Citations per field
00.5×3.1×
Hee‐Bok Oh · 1×
Citations per year

Countries citing papers authored by Hisatoshi Kaneko

Since Specialization
Citations

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

Fields of papers citing papers by Hisatoshi Kaneko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201421
2 20139
3 201240
4 20124
5 201127
6 201045
7 201011
8 20098
9
[Guideline for the nosocomial infections of adenovirus conjunctivitis].
20092
10 200949
11 20085
12 200821
13 200815
14 200815
15
Tolerance of loop-mediated isothermal amplification to a culture medium and biological substancesbreakdown →
2006564
16 200576
17
[Clinical and virological studies of nosocomial conjunctivitis infection caused by adenovirus type 37 variant].
20055
18
Antiviral Effect of NMSO3 against Adenovirus in Vitro
20021
19 200132
20 19985

About Hisatoshi Kaneko

Hisatoshi Kaneko is a scholar working on Epidemiology, Genetics and Virology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (17 papers), Herpesvirus Infections and Treatments (16 papers), Cytomegalovirus and herpesvirus research (10 papers), Animal Virus Infections Studies (4 papers), Biosensors and Analytical Detection (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Respiratory viral infections research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Infectious Diseases (238 citations), Epidemiology (401 citations) and Endocrinology (53 citations). Hisatoshi Kaneko has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Tatsuo Suzutani, Eiko Fukushima, Takashi Kawana, Shigeaki Ohno, Koki Aoki, Tomohiro Iida, Takeshi Ohguchi, Hiroaki Ishiko, Yoshitsugu Tagawa and Ken Ishioka. Their work appears in journals such as Journal of Virology, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

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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