Akihiro Funakoshi
- Surgery top 2%
- Oncology top 2%
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology top 10%
- Epidemiology top 5%
- Co-authors
- Kyoko MiyasakaTakuji OkusakaShinichi OhkawaAkira KonoJunji FuruseSetsuko KanaiHideyuki WakasugiKenichi Kitani
- Topics
- Neuropeptides and Animal Physiology (101 papers)Pancreatic function and diabetes (55 papers)Neuroendocrine Tumor Research Advances (44 papers)
- Journals
- Journal of Clinical OncologyGastroenterologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Akihiro Funakoshi
223 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 114
- Surgery 1.5k
- Oncology 1.2k
- Cellular and Molecular Neuroscience 1.0k
- Molecular Biology 991
- Epidemiology 655
Countries citing papers authored by Akihiro Funakoshi
This map shows the geographic impact of Akihiro Funakoshi'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 Akihiro Funakoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiro Funakoshi more than expected).
Fields of papers citing papers by Akihiro Funakoshi
This network shows the impact of papers produced by Akihiro Funakoshi. 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 Akihiro Funakoshi. The network helps show where Akihiro Funakoshi may publish in the future.
Co-authorship network of co-authors of Akihiro Funakoshi
This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Funakoshi. A scholar is included among the top collaborators of Akihiro Funakoshi 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 Akihiro Funakoshi. Akihiro Funakoshi 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 | 60 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 11 | |
| 6 | 42 | |
| 7 | 40 | |
| 8 | 5 | |
| 9 | 25 | |
| 10 | 0 | |
| 11 | 11 | |
| 12 | 25 | |
| 13 | 12 | |
| 14 | 8 | |
| 15 | 2 | |
| 16 | 28 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 8 | |
| 20 | 2 |
About Akihiro Funakoshi
Akihiro Funakoshi is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Oncology, having authored 229 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (101 papers), Pancreatic function and diabetes (55 papers) and Neuroendocrine Tumor Research Advances (44 papers). The work is most often cited by research in Endocrine and Autonomic Systems (563 citations), Cellular and Molecular Neuroscience (1.0k citations) and Oncology (1.2k citations). Akihiro Funakoshi has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Kyoko Miyasaka, Takuji Okusaka, Shinichi Ohkawa, Akira Kono, Junji Furuse, Setsuko Kanai, Hideyuki Wakasugi, Kenichi Kitani, Yutaka Takata and Soichi Takiguchi. Their work appears in journals such as Journal of Clinical Oncology, Gastroenterology and The Journal of Clinical Endocrinology & Metabolism.
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.