Keisuke Obara
- Physiology top 2%
- Cell Biology top 2%
- Cellular transport and secretion 14
- Endoplasmic Reticulum Stress and Disease 12
- Epidemiology top 2%
- Autophagy in Disease and Therapy 10
- Parasitology top 5%
- Molecular Biology top 10%
- Fungal and yeast genetics research 10
- Photosynthetic Processes and Mechanisms 5
- Ubiquitin and proteasome pathways 5
- Sphingolipid Metabolism and Signaling 4
- Mitochondrial Function and Pathology 3
- Co-authors
- Yoshinori OhsumiTakayuki SekitoK NiimiAkio KiharaHiroo FukudaHideo KuriyamaNobuo SuzukiFuyuhiko Inagaki
- Cited by
- PhysiologyCell BiologyEpidemiology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (4 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Keisuke Obara
35 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 91
- Physiology 185
- Cell Biology 612
- Epidemiology 1.0k
- Parasitology 107
- Molecular Biology 981
Countries citing papers authored by Keisuke Obara
This map shows the geographic impact of Keisuke Obara'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 Keisuke Obara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Obara more than expected).
Fields of papers citing papers by Keisuke Obara
This network shows the impact of papers produced by Keisuke Obara. 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 Keisuke Obara. The network helps show where Keisuke Obara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keisuke Obara, 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 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 13 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 5 | |
| 7 | 2020 | 7 | |
| 8 | 2017 | 9 | |
| 9 | 2016 | 4 | |
| 10 | 2015 | 20 | |
| 11 | 2014 | 10 | |
| 12 | 2014 | 81 | |
| 13 | 2013 | 25 | |
| 14 | 2012 | 54 | |
| 15 | 2011 | 37 | |
| 16 | 2008 | 194 | |
| 17 | 2008 | 257 | |
| 18 | 2008 | 115 | |
| 19 | 2006 | 209 | |
| 20 | 2002 | 66 |
About Keisuke Obara
Keisuke Obara is a scholar working on Cell Biology, Molecular Biology and Epidemiology, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (14 papers), Endoplasmic Reticulum Stress and Disease (12 papers), Autophagy in Disease and Therapy (10 papers), Fungal and yeast genetics research (10 papers), Photosynthetic Processes and Mechanisms (5 papers), Ubiquitin and proteasome pathways (5 papers), Sphingolipid Metabolism and Signaling (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Physiology (185 citations), Cell Biology (612 citations) and Epidemiology (1.0k citations). Keisuke Obara has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshinori Ohsumi, Takayuki Sekito, K Niimi, Akio Kihara, Hiroo Fukuda, Hideo Kuriyama, Nobuo Suzuki, Fuyuhiko Inagaki, Yūko Fujioka and Takeshi Noda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.