Kazutaka Akagi
- Co-authors
- Hitoshi UedaPankaj KapahiKenichi MuraiSubhash D. KatewaT AokiKen SugimotoS OshimaMitsukazu Gotoh
- Topics
- Genetics, Aging, and Longevity in Model Organisms (6 papers)Circadian rhythm and melatonin (4 papers)Animal Behavior and Reproduction (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Molecular BiologyMolecular and Cellular Biology
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Kazutaka Akagi
23 papers receiving 571 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 216
- Cellular and Molecular Neuroscience 119
- Oncology 117
- Cancer Research 116
- Aging 102
Countries citing papers authored by Kazutaka Akagi
This map shows the geographic impact of Kazutaka Akagi'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 Kazutaka Akagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazutaka Akagi more than expected).
Fields of papers citing papers by Kazutaka Akagi
This network shows the impact of papers produced by Kazutaka Akagi. 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 Kazutaka Akagi. The network helps show where Kazutaka Akagi may publish in the future.
Co-authorship network of co-authors of Kazutaka Akagi
This figure shows the co-authorship network connecting the top 25 collaborators of Kazutaka Akagi. A scholar is included among the top collaborators of Kazutaka Akagi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kazutaka Akagi. Kazutaka Akagi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 14 | |
| 4 | 46 | |
| 5 | 6 | |
| 6 | 13 | |
| 7 | 47 | |
| 8 | 130 | |
| 9 | 9 | |
| 10 | 14 | |
| 11 | 42 | |
| 12 | 3 | |
| 13 | Detection of K-ras gene mutations in plasma DNA of patients with pancreatic adenocarcinoma: correlation with clinicopathological features. | 142 |
| 14 | 27 | |
| 15 | 4 | |
| 16 | 6 | |
| 17 | [A case of mixed connective tissue disease associated with chronic active hepatitis]. | 1 |
| 18 | [Liver damage and hepatocellular carcinoma in patients with yusho]. | 1 |
| 19 | [Thyroid function in patients with PCB poisoning]. | 2 |
| 20 | 62 |
About Kazutaka Akagi
Kazutaka Akagi is a scholar working on Aging, Endocrine and Autonomic Systems and Hepatology, having authored 23 papers that have together received 587 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Circadian rhythm and melatonin (4 papers) and Animal Behavior and Reproduction (4 papers). The work is most often cited by research in Aging (102 citations), Endocrine and Autonomic Systems (99 citations) and Cancer Research (116 citations). Kazutaka Akagi has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Hitoshi Ueda, Pankaj Kapahi, Kenichi Murai, Subhash D. Katewa, T Aoki, Ken Sugimoto, S Oshima, Mitsukazu Gotoh, Tomonori Yamada and Hiroki Ohzato. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Molecular and Cellular Biology.
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.