Fumiko Hirota
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
-
- T-cell and B-cell Immunology 5
- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 4
- Immune Response and Inflammation 3
-
- RNA modifications and cancer 2
- Epigenetics and DNA Methylation 2
- Co-authors
- Mitsuru Matsumoto (12 shared papers)Yasuhiro Mouri (8 shared papers)Takuro Inoue (1 shared paper)C Nakayama (1 shared paper)Michiko Ono (1 shared paper)Hiroshi Noguchi (1 shared paper)Y. Itakura (1 shared paper)Mutsuo Taiji (1 shared paper)
- Journals
- The Journal of Immunology (7 papers)The Journal of Experimental Medicine (2 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Cell Biology (1 paper)Diabetes (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Fumiko Hirota
13 papers receiving 834 citations
Peers
Comparison fields: 5 of 82
- Immunology 328
- Endocrine and Autonomic Systems 104
- Developmental Neuroscience 61
- Aging 20
- Physiology 220
Countries citing papers authored by Fumiko Hirota
This map shows the geographic impact of Fumiko Hirota'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 Fumiko Hirota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumiko Hirota more than expected).
Fields of papers citing papers by Fumiko Hirota
This network shows the impact of papers produced by Fumiko Hirota. 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 Fumiko Hirota. The network helps show where Fumiko Hirota may publish in the future.
Co-authors
The 25 scholars most cited alongside Fumiko Hirota, 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 | 2000 | 260 | |
| 2 | 2009 | 121 | |
| 3 | 2010 | 108 | |
| 4 | 2006 | 72 | |
| 5 | 2011 | 68 | |
| 6 | 2007 | 56 | |
| 7 | 2014 | 49 | |
| 8 | 2008 | 42 | |
| 9 | 2014 | 30 | |
| 10 | 2015 | 17 | |
| 11 | 2007 | 16 | |
| 12 | 2015 | 8 | |
| 13 | 2009 | 1 | |
| 14 | [Pancreatic oncofetal antigen (POA)]. | 1983 | 1 |
About Fumiko Hirota
Fumiko Hirota is a scholar working on Immunology, Molecular Biology, Pediatrics, Perinatology and Child Health, Oncology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 849 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (4 papers), Cancer-related Molecular Pathways (3 papers), Immune Response and Inflammation (3 papers), RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Immunology (328 citations), Endocrine and Autonomic Systems (104 citations), Developmental Neuroscience (61 citations), Aging (20 citations) and Physiology (220 citations). Fumiko Hirota has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Mitsuru Matsumoto, Yasuhiro Mouri, Takuro Inoue, C Nakayama, Michiko Ono, Hiroshi Noguchi, Y. Itakura, Mutsuo Taiji, Takeshi Nonomura and Tsutomu Nakagawa. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Diabetes.
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.