Yuji Kohara
- Aging top 0.02%
- Genetics, Aging, and Longevity in Model Organisms 47
- Molecular Biology top 0.5%
- Developmental Biology and Gene Regulation 16
- CRISPR and Genetic Engineering 13
- Protist diversity and phylogeny 9
- Genetics top 0.2%
- Bacterial Genetics and Biotechnology 10
- Plant Science top 1%
- Chromosomal and Genetic Variations 14
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- Marine Ecology and Invasive Species 13
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- Reproductive Biology and Fertility 10
- Co-authors
- Kiyotaka AkiyamaKatsumi IsonoTadasu Shin‐IYutaka SatouAtsushi ToyodaAsako SugimotoJonathan J. EwbankNathalie Pujol
- Cited by
- AgingMolecular BiologyGenetics
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yuji Kohara
122 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Aging 2.5k
- Molecular Biology 8.3k
- Genetics 3.3k
- Endocrine and Autonomic Systems 593
- Plant Science 2.1k
Countries citing papers authored by Yuji Kohara
This map shows the geographic impact of Yuji Kohara'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 Yuji Kohara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuji Kohara more than expected).
Fields of papers citing papers by Yuji Kohara
This network shows the impact of papers produced by Yuji Kohara. 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 Yuji Kohara. The network helps show where Yuji Kohara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuji Kohara, 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 | 2023 | 3 | |
| 2 | 2019 | 92 | |
| 3 | 2017 | 9 | |
| 4 | 2015 | 27 | |
| 5 | 2015 | 4 | |
| 6 | 2009 | 102 | |
| 7 | 2008 | 104 | |
| 8 | 2007 | 166 | |
| 9 | 2007 | 361 | |
| 10 | 2007 | 11 | |
| 11 | Graphical Gaussian Modeling for Gene Association Structures Based on Expression Deviation Patterns Induced by Various Chemical Stimuli(Biological Engineering) | 2006 | 2 |
| 12 | 2006 | 140 | |
| 13 | 2005 | 39 | |
| 14 | 2005 | 40 | |
| 15 | 2004 | 58 | |
| 16 | 2002 | 89 | |
| 17 | 2001 | 69 | |
| 18 | 1999 | 6 | |
| 19 | EXPRESSION MAP OF THE C. ELEGANS GENOME | 1995 | 1 |
| 20 | 1985 | 56 |
About Yuji Kohara
Yuji Kohara is a scholar working on Aging, Genetics and Endocrine and Autonomic Systems, having authored 123 papers that have together received 11.9k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (47 papers), Developmental Biology and Gene Regulation (16 papers), Chromosomal and Genetic Variations (14 papers), Marine Ecology and Invasive Species (13 papers), CRISPR and Genetic Engineering (13 papers), Reproductive Biology and Fertility (10 papers), Bacterial Genetics and Biotechnology (10 papers) and Protist diversity and phylogeny (9 papers). The work is most often cited by research in Aging (2.5k citations), Molecular Biology (8.3k citations) and Genetics (3.3k citations). Yuji Kohara has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kiyotaka Akiyama, Katsumi Isono, Tadasu Shin‐I, Yutaka Satou, Atsushi Toyoda, Asako Sugimoto, Jonathan J. Ewbank, Nathalie Pujol, Asao Fujiyama and Hiroyuki Takeda. Their work appears in journals such as Nature, Science and Cell.
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.