Toshiya Hirayama
- Endocrinology top 0.5%
- Escherichia coli research studies 14
- Immunology top 1%
- Galectins and Cancer Biology 32
- Immune Response and Inflammation 10
- Microbiology top 1%
- Antimicrobial Peptides and Activities 13
- Small Animals top 0.5%
- Surgery top 1%
- Helicobacter pylori-related gastroenterology studies 50
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- RNA Interference and Gene Delivery 11
- Glycosylation and Glycoproteins Research 9
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- Bacterial Genetics and Biotechnology 9
- Co-authors
- Akihiro WadaJoel MossTakuro NiidomeKinnosuke YahiroHaruhiko AoyagiMasaaki NakayamaYoshifumi TakedaHajime Isomoto
- Cited by
- EndocrinologyImmunologyMicrobiology
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (12 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Toshiya Hirayama
108 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 119
- Endocrinology 577
- Immunology 2.4k
- Microbiology 441
- Small Animals 418
- Surgery 2.2k
Countries citing papers authored by Toshiya Hirayama
This map shows the geographic impact of Toshiya Hirayama'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 Toshiya Hirayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshiya Hirayama more than expected).
Fields of papers citing papers by Toshiya Hirayama
This network shows the impact of papers produced by Toshiya Hirayama. 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 Toshiya Hirayama. The network helps show where Toshiya Hirayama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Toshiya Hirayama, 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 | 2014 | 2 | |
| 2 | 2013 | 65 | |
| 3 | 2012 | 104 | |
| 4 | 2012 | 180 | |
| 5 | 2010 | 78 | |
| 6 | 2004 | 115 | |
| 7 | 2004 | 74 | |
| 8 | 2004 | 78 | |
| 9 | 2004 | 36 | |
| 10 | 2003 | 108 | |
| 11 | 2002 | 1 | |
| 12 | 2002 | 130 | |
| 13 | 2000 | 41 | |
| 14 | 2000 | 16 | |
| 15 | 1997 | 23 | |
| 16 | 1996 | 28 | |
| 17 | 1994 | 7 | |
| 18 | 1990 | 4 | |
| 19 | 1989 | 16 | |
| 20 | 1987 | 115 |
About Toshiya Hirayama
Toshiya Hirayama is a scholar working on Endocrinology, Immunology and Microbiology, having authored 110 papers that have together received 5.0k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (50 papers), Galectins and Cancer Biology (32 papers), Escherichia coli research studies (14 papers), Antimicrobial Peptides and Activities (13 papers), RNA Interference and Gene Delivery (11 papers), Immune Response and Inflammation (10 papers), Glycosylation and Glycoproteins Research (9 papers) and Bacterial Genetics and Biotechnology (9 papers). The work is most often cited by research in Endocrinology (577 citations), Immunology (2.4k citations) and Microbiology (441 citations). Toshiya Hirayama has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Akihiro Wada, Joel Moss, Takuro Niidome, Kinnosuke Yahiro, Haruhiko Aoyagi, Masaaki Nakayama, Yoshifumi Takeda, Hajime Isomoto, Hisao Kurazono and Masatoshi Noda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.