Yasumi Ohshima
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms 37
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin 18
- Molecular Biology top 2%
- RNA Research and Splicing 34
- RNA and protein synthesis mechanisms 26
- RNA modifications and cancer 14
- RNA regulation and disease 8
- DNA and Nucleic Acid Chemistry 7
- CRISPR and Genetic Engineering 7
- Cell Biology top 5%
- Co-authors
- Ikue MoriMakoto KogaTokio TaniRaffi V. AroianPaul W. SternbergJane MendelKohji MiyaharaNorihiro Okada
- Journals
- Journal of Molecular Biology (11 papers)Biochemical and Biophysical Research Communications (9 papers)Genes to Cells (7 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Yasumi Ohshima
97 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 117
- Aging 1.9k
- Endocrine and Autonomic Systems 1.0k
- Molecular Biology 2.5k
- Cellular and Molecular Neuroscience 607
- Cell Biology 403
Countries citing papers authored by Yasumi Ohshima
This map shows the geographic impact of Yasumi Ohshima'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 Yasumi Ohshima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasumi Ohshima more than expected).
Fields of papers citing papers by Yasumi Ohshima
This network shows the impact of papers produced by Yasumi Ohshima. 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 Yasumi Ohshima. The network helps show where Yasumi Ohshima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasumi Ohshima, 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 | 2011 | 3 | |
| 2 | 2006 | 11 | |
| 3 | 2004 | 44 | |
| 4 | 2004 | 11 | |
| 5 | 2004 | 26 | |
| 6 | 2003 | 9 | |
| 7 | 2002 | 33 | |
| 8 | 2002 | 63 | |
| 9 | 2001 | 56 | |
| 10 | 2001 | 27 | |
| 11 | 2000 | 9 | |
| 12 | 1999 | 74 | |
| 13 | 1996 | 64 | |
| 14 | 1995 | 6 | |
| 15 | 1995 | 23 | |
| 16 | 1989 | 7 | |
| 17 | 1989 | 3 | |
| 18 | 1989 | 110 | |
| 19 | 1988 | 9 | |
| 20 | 1987 | 238 |
About Yasumi Ohshima
Yasumi Ohshima is a scholar working on Aging, Endocrine and Autonomic Systems, Molecular Biology, Toxicology and Cellular and Molecular Neuroscience, having authored 97 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (37 papers), RNA Research and Splicing (34 papers), RNA and protein synthesis mechanisms (26 papers), Circadian rhythm and melatonin (18 papers), RNA modifications and cancer (14 papers), RNA regulation and disease (8 papers), DNA and Nucleic Acid Chemistry (7 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Aging (1.9k citations), Endocrine and Autonomic Systems (1.0k citations), Molecular Biology (2.5k citations), Cellular and Molecular Neuroscience (607 citations) and Cell Biology (403 citations). Yasumi Ohshima has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Ikue Mori, Makoto Koga, Tokio Tani, Raffi V. Aroian, Paul W. Sternberg, Jane Mendel, Kohji Miyahara, Norihiro Okada, Y. Suzuki and Tadao Horiuchi. Their work appears in journals such as Journal of Molecular Biology, Biochemical and Biophysical Research Communications, Genes to Cells, Development and The Journal of Biochemistry.
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.