Akira Endo
- Biotechnology top 0.1%
- Microbial Metabolism and Applications 27
- Pharmacology top 0.5%
- Microbial Natural Products and Biosynthesis 17
- Radiation top 0.5%
- Advanced Radiotherapy Techniques 16
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 19
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- Plant biochemistry and biosynthesis 31
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- Radiation Dose and Imaging 28
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- Radiation Therapy and Dosimetry 24
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- Cholesterol and Lipid Metabolism 18
- Co-authors
- Masao KurodaYoshio TsujitaKazuhiko TanzawaKeith F. EckermanKeiji HasumiTomomasa MISATOIsamu KanekoJ R Faust
- Cited by
- BiotechnologyPharmacologyRadiation
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Akira Endo
259 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Biotechnology 1.7k
- Pharmacology 1.5k
- Radiation 711
- Radiological and Ultrasound Technology 340
- Modeling and Simulation 283
Countries citing papers authored by Akira Endo
This map shows the geographic impact of Akira Endo'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 Endo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Endo more than expected).
Fields of papers citing papers by Akira Endo
This network shows the impact of papers produced by Akira Endo. 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 Endo. The network helps show where Akira Endo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akira Endo, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 17 | |
| 7 | 2022 | 5 | |
| 8 | Heavy-tailed sexual contact networks and monkeypox epidemiology in the global outbreak, 2022breakdown → | 2022 | 112 |
| 9 | 2021 | 12 | |
| 10 | 2019 | 24 | |
| 11 | 2009 | 1 | |
| 12 | MIRD: radionuclide data and decay schemes | 2007 | 104 |
| 13 | 2005 | 3 | |
| 14 | 1995 | 11 | |
| 15 | 1995 | 6 | |
| 16 | 1987 | 1 | |
| 17 | The Behaviour of a Miltogrammine Fly Metopia sauteri (TOWNSEND) (Diptera, Sarcophagidae) Cleptoparasitizing on a Spider Wasp Episyron arrogans (SMITH) (Hymenoptera, Pompilidae) | 1980 | 6 |
| 18 | ON THE HOST-CLEPTOPARASITE RELATIONSHIP BETWEEN THE SPIDER WASP EPISYRON ARROGANS (SMITH) (HYMENOPTERA, POMPILIDAE) AND THE MILTOGRAMMINE FLY METORIA SAUTERI (TOWNSEND) (DIPTERA, SARCOPHAGIDAE) | 1980 | 7 |
| 19 | 1965 | 2 | |
| 20 | 1965 | 3 |
About Akira Endo
Akira Endo is a scholar working on Biotechnology, Modeling and Simulation and Radiation, having authored 274 papers that have together received 9.4k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (31 papers), Radiation Dose and Imaging (28 papers), Microbial Metabolism and Applications (27 papers), Radiation Therapy and Dosimetry (24 papers), COVID-19 epidemiological studies (19 papers), Cholesterol and Lipid Metabolism (18 papers), Microbial Natural Products and Biosynthesis (17 papers) and Advanced Radiotherapy Techniques (16 papers). The work is most often cited by research in Biotechnology (1.7k citations), Pharmacology (1.5k citations) and Radiation (711 citations). Akira Endo has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masao Kuroda, Yoshio Tsujita, Kazuhiko Tanzawa, Keith F. Eckerman, Keiji Hasumi, Masao Kuroda, Tomomasa MISATO, Isamu Kaneko, J R Faust and Joseph L. Goldstein. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.