Iku Utsunomiya
- Microbiology top 5%
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- Neuroscience and Neuropharmacology Research 10
- Hereditary Neurological Disorders 6
- Neurotransmitter Receptor Influence on Behavior 6
- Neuropeptides and Animal Physiology 4
- Sensory Systems top 5%
- Immunology top 10%
- Neurology top 5%
- Peripheral Neuropathies and Disorders 9
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- Pain Mechanisms and Treatments 14
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- Ion channel regulation and function 10
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- Coagulation, Bradykinin, Polyphosphates, and Angioedema 9
- Co-authors
- Kyoji TaguchiSachiko Oh‐ishiKenji AbeTadashi MiyatakeTerumasa ChibaKazuyoshi KawakamiKenji TaniJin Ren
- Journals
- The Journal of Immunology (2 papers)Brain Research (5 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Iku Utsunomiya
57 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Microbiology 125
- Cellular and Molecular Neuroscience 362
- Sensory Systems 92
- Immunology 337
- Neurology 209
Countries citing papers authored by Iku Utsunomiya
This map shows the geographic impact of Iku Utsunomiya'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 Iku Utsunomiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iku Utsunomiya more than expected).
Fields of papers citing papers by Iku Utsunomiya
This network shows the impact of papers produced by Iku Utsunomiya. 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 Iku Utsunomiya. The network helps show where Iku Utsunomiya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Iku Utsunomiya, 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 | 2015 | 24 | |
| 2 | 2012 | 2 | |
| 3 | 2009 | 4 | |
| 4 | 2008 | 15 | |
| 5 | 2005 | 5 | |
| 6 | 2005 | 10 | |
| 7 | 2005 | 17 | |
| 8 | 2004 | 17 | |
| 9 | 2004 | 35 | |
| 10 | 2003 | 17 | |
| 11 | 2001 | 29 | |
| 12 | 2001 | 30 | |
| 13 | 2000 | 160 | |
| 14 | 1999 | 40 | |
| 15 | 1996 | 23 | |
| 16 | 1996 | 38 | |
| 17 | 1994 | 52 | |
| 18 | 1992 | 3 | |
| 19 | 1989 | 28 | |
| 20 | 1988 | 12 |
About Iku Utsunomiya
Iku Utsunomiya is a scholar working on Cellular and Molecular Neuroscience, Genetics and Neurology, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (14 papers), Neuroscience and Neuropharmacology Research (10 papers), Ion channel regulation and function (10 papers), Peripheral Neuropathies and Disorders (9 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (9 papers), Hereditary Neurological Disorders (6 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Microbiology (125 citations), Cellular and Molecular Neuroscience (362 citations) and Sensory Systems (92 citations). Iku Utsunomiya has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kyoji Taguchi, Sachiko Oh‐ishi, Kenji Abe, Tadashi Miyatake, Terumasa Chiba, Kazuyoshi Kawakami, Kenji Tani, Jin Ren, Sonoko Nagai and Joost J. Oppenheim. Their work appears in journals such as The Journal of Immunology, Brain Research and Biochemical and Biophysical Research Communications.
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.