Jun Nomura
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Aging top 10%
Papers in
-
- Congenital heart defects research 4
- Receptor Mechanisms and Signaling 4
- Genetics 14
- Genetics and Neurodevelopmental Disorders 9
- Co-authors
- Mikhail V. Pletnikov (5 shared papers)Bagrat Abazyan (4 shared papers)Akira Sawa (4 shared papers)Nobuo Sakaguchi (8 shared papers)Toru Takumi (10 shared papers)Chunxia Yang (3 shared papers)Toru Hosoi (7 shared papers)Yasuyuki Nomura (7 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (5 papers)Molecular Psychiatry (4 papers)The Journal of Immunology (4 papers)Journal of Radiation Research (3 papers)International Immunology (2 papers)
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Jun Nomura
87 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 103
- Biological Psychiatry 175
- Aging 31
- Behavioral Neuroscience 54
- Immunology 312
- Cellular and Molecular Neuroscience 262
Countries citing papers authored by Jun Nomura
This map shows the geographic impact of Jun Nomura'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 Jun Nomura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Nomura more than expected).
Fields of papers citing papers by Jun Nomura
This network shows the impact of papers produced by Jun Nomura. 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 Jun Nomura. The network helps show where Jun Nomura may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Nomura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 214 | |
| 2 | 2012 | 129 | |
| 3 | 2010 | 122 | |
| 4 | 2017 | 87 | |
| 5 | 1996 | 50 | |
| 6 | 2003 | 45 | |
| 7 | 1991 | 42 | |
| 8 | 2011 | 38 | |
| 9 | 1993 | 35 | |
| 10 | 1994 | 35 | |
| 11 | 1996 | 35 | |
| 12 | 1998 | 30 | |
| 13 | 2003 | 30 | |
| 14 | 2003 | 28 | |
| 15 | 1995 | 27 | |
| 16 | 2009 | 26 | |
| 17 | 2016 | 26 | |
| 18 | 2018 | 26 | |
| 19 | 2004 | 25 | |
| 20 | 2009 | 22 |
About Jun Nomura
Jun Nomura is a scholar working on Molecular Biology, Genetics, Immunology, Physiology and Cellular and Molecular Neuroscience, having authored 89 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (9 papers), Spaceflight effects on biology (8 papers), T-cell and B-cell Immunology (7 papers), Autism Spectrum Disorder Research (6 papers), Immune Cell Function and Interaction (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Congenital heart defects research (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Biological Psychiatry (175 citations), Aging (31 citations), Behavioral Neuroscience (54 citations), Immunology (312 citations) and Cellular and Molecular Neuroscience (262 citations). Jun Nomura has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Mikhail V. Pletnikov, Bagrat Abazyan, Akira Sawa, Nobuo Sakaguchi, Toru Takumi, Chunxia Yang, Toru Hosoi, Yasuyuki Nomura, Yasunobu Okuma and Irina N. Krasnova. Their work appears in journals such as Biochemical and Biophysical Research Communications, Molecular Psychiatry, The Journal of Immunology, Journal of Radiation Research and International Immunology.
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.