Hidehiro Tsuneoka
Impact in
- Parasitology top 2%
- Bartonella species infections research
- Vector-borne infectious diseases
- Virology top 5%
- Rabies epidemiology and control
Papers in
- Parasitology 33
- Bartonella species infections research 33
- Vector-borne infectious diseases 18
- Virology 11
- Rabies epidemiology and control 11
- Co-authors
- Masato TsukaharaJunzo NojimaKiyoshi IchiharaMasashi YanagiharaKyoko MurakamiAkiko UmedaShigeto KawauchiMasashi Uchida
- Journals
- Diagnostic Microbiology and Infectious Disease (5 papers)Journal of Clinical Microbiology (4 papers)Thrombosis Research (4 papers)Kansenshogaku zasshi (14 papers)Clinical Infectious Diseases (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Hidehiro Tsuneoka
41 papers receiving 414 citations
Peers
Comparison fields: 5 of 55
- Parasitology 333
- Virology 126
- Infectious Diseases 235
- Public Health, Environmental and Occupational Health 94
- Hematology 32
Countries citing papers authored by Hidehiro Tsuneoka
This map shows the geographic impact of Hidehiro Tsuneoka'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 Hidehiro Tsuneoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidehiro Tsuneoka more than expected).
Fields of papers citing papers by Hidehiro Tsuneoka
This network shows the impact of papers produced by Hidehiro Tsuneoka. 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 Hidehiro Tsuneoka. The network helps show where Hidehiro Tsuneoka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hidehiro Tsuneoka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | 2021 | 1 | |
| 3 | 2019 | 5 | |
| 4 | 2016 | 9 | |
| 5 | 2014 | 12 | |
| 6 | 2012 | 13 | |
| 7 | 2012 | 20 | |
| 8 | 2011 | 13 | |
| 9 | 2011 | 18 | |
| 10 | 2010 | 7 | |
| 11 | 2010 | 6 | |
| 12 | 2009 | 13 | |
| 13 | 2007 | 12 | |
| 14 | 2004 | 4 | |
| 15 | 2002 | 2 | |
| 16 | 2002 | 69 | |
| 17 | 2001 | 18 | |
| 18 | 2001 | 3 | |
| 19 | 1999 | 7 | |
| 20 | 1998 | 2 |
About Hidehiro Tsuneoka
Hidehiro Tsuneoka is a scholar working on Parasitology, Virology, Infectious Diseases, Public Health, Environmental and Occupational Health and Nephrology, having authored 44 papers that have together received 439 indexed citations. Recurring topics across this work include Bartonella species infections research (33 papers), Vector-borne infectious diseases (18 papers), Viral Infections and Vectors (16 papers), Streptococcal Infections and Treatments (11 papers), Rabies epidemiology and control (11 papers), Systemic Lupus Erythematosus Research (4 papers), Platelet Disorders and Treatments (3 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Parasitology (333 citations), Virology (126 citations), Infectious Diseases (235 citations), Public Health, Environmental and Occupational Health (94 citations) and Hematology (32 citations). Hidehiro Tsuneoka has collaborated with scholars based in Japan and United States. Frequent co-authors include Masato Tsukahara, Junzo Nojima, Kiyoshi Ichihara, Masashi Yanagihara, Kyoko Murakami, Akiko Umeda, Shigeto Kawauchi, Masashi Uchida, Ichiro Murano and Tomohiro Matsui. Their work appears in journals such as Diagnostic Microbiology and Infectious Disease, Journal of Clinical Microbiology, Thrombosis Research, Kansenshogaku zasshi and Clinical 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.