Akira Nakai
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms 19
- Physical and Theoretical Chemistry top 0.5%
- thermodynamics and calorimetric analyses 36
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease 28
- Molecular Biology top 0.5%
- Heat shock proteins research 121
- Mitochondrial Function and Pathology 13
- Reproductive Medicine top 2%
-
- Thyroid Disorders and Treatments 13
-
- Exercise and Physiological Responses 13
-
- Physiological and biochemical adaptations 10
- Co-authors
- Mitsuaki FujimotoKazuhiro NagataRichard I. MorimotoEiichi TakakiSachiye InouyeMasako TanabeK. NagataYoshinori Kawazoe
- Journals
- Journal of Biological Chemistry (16 papers)Molecular and Cellular Biology (9 papers)Biochemical and Biophysical Research Communications (8 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Akira Nakai
193 papers receiving 8.7k citations
Peers
Comparison fields: 5 of 136
- Aging 741
- Physical and Theoretical Chemistry 937
- Cell Biology 1.7k
- Molecular Biology 6.5k
- Reproductive Medicine 402
Countries citing papers authored by Akira Nakai
This map shows the geographic impact of Akira Nakai'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 Akira Nakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Nakai more than expected).
Fields of papers citing papers by Akira Nakai
This network shows the impact of papers produced by Akira Nakai. 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 Akira Nakai. The network helps show where Akira Nakai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akira Nakai, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2017 | 20 | |
| 4 | 2016 | 19 | |
| 5 | 2012 | 1 | |
| 6 | 2012 | 46 | |
| 7 | 2011 | 79 | |
| 8 | 2011 | 28 | |
| 9 | 2011 | 57 | |
| 10 | 2009 | 84 | |
| 11 | 2009 | 73 | |
| 12 | 2008 | 34 | |
| 13 | 2008 | 35 | |
| 14 | 1998 | 7 | |
| 15 | 1997 | 284 | |
| 16 | 1997 | 29 | |
| 17 | 1995 | 91 | |
| 18 | 1994 | 21 | |
| 19 | 1992 | 74 | |
| 20 | 1991 | 11 |
About Akira Nakai
Akira Nakai is a scholar working on Aging, Physical and Theoretical Chemistry and Molecular Biology, having authored 195 papers that have together received 8.8k indexed citations. Recurring topics across this work include Heat shock proteins research (121 papers), thermodynamics and calorimetric analyses (36 papers), Endoplasmic Reticulum Stress and Disease (28 papers), Genetics, Aging, and Longevity in Model Organisms (19 papers), Thyroid Disorders and Treatments (13 papers), Exercise and Physiological Responses (13 papers), Mitochondrial Function and Pathology (13 papers) and Physiological and biochemical adaptations (10 papers). The work is most often cited by research in Aging (741 citations), Physical and Theoretical Chemistry (937 citations) and Cell Biology (1.7k citations). Akira Nakai has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Mitsuaki Fujimoto, Kazuhiro Nagata, Richard I. Morimoto, Eiichi Takaki, Sachiye Inouye, Masako Tanabe, K. Nagata, Yoshinori Kawazoe, Naoki Hayashida and Ryosuke Takii. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Biochemical and Biophysical Research Communications, Metabolism and The EMBO Journal.
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.