Ken Fujiwara
- Molecular Biology top 10%
- Endocrine and Autonomic Systems top 1%
- Endocrinology, Diabetes and Metabolism top 2%
- Cellular and Molecular Neuroscience top 5%
- Social Psychology top 2%
- Co-authors
- Takashi YashiroToshihiko YadaFumihiko MaekawaMotoshi KikuchiKinji InoueIkuo DaiboKotaro HoriguchiHirokazu Matsumoto
- Topics
- Action Observation and Synchronization (19 papers)Growth Hormone and Insulin-like Growth Factors (15 papers)Cell Adhesion Molecules Research (15 papers)
- Journals
- PLoS ONECell MetabolismDiabetes
- Partner nations
- JapanTaiwanUnited States
In The Last Decade
Ken Fujiwara
133 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 815
- Endocrine and Autonomic Systems 714
- Endocrinology, Diabetes and Metabolism 600
- Cellular and Molecular Neuroscience 479
- Social Psychology 463
Countries citing papers authored by Ken Fujiwara
This map shows the geographic impact of Ken Fujiwara'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 Ken Fujiwara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Fujiwara more than expected).
Fields of papers citing papers by Ken Fujiwara
This network shows the impact of papers produced by Ken Fujiwara. 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 Ken Fujiwara. The network helps show where Ken Fujiwara may publish in the future.
Co-authorship network of co-authors of Ken Fujiwara
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Fujiwara. A scholar is included among the top collaborators of Ken Fujiwara 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 Ken Fujiwara. Ken Fujiwara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | A Study on the Relationship between Communication and Nodding in an Idea Generation Task by Sense Chair | 1 |
| 10 | 7 | |
| 11 | 6 | |
| 12 | The Communication behavior and interpersonal perception in task oriented small group -- Social skills and interpersonal relationships | 1 |
| 13 | 1 | |
| 14 | A Comparison of Self and Third Party Evaluation for Atmosphere in Triadic Conversation | 1 |
| 15 | 37 | |
| 16 | 10 | |
| 17 | 17 | |
| 18 | 21 | |
| 19 | オレイン酸はGPR40と相互作用しラット島β-細胞におけるCa 2+ シグナリングを誘導する:PLC及びLタイプCa 2+ チャンネルによる仲介とインスリン遊離への関連 | 1 |
| 20 | 6 |
About Ken Fujiwara
Ken Fujiwara is a scholar working on Immunology and Allergy, Endocrine and Autonomic Systems and Social Psychology, having authored 139 papers that have together received 2.6k indexed citations. Recurring topics across this work include Action Observation and Synchronization (19 papers), Growth Hormone and Insulin-like Growth Factors (15 papers) and Cell Adhesion Molecules Research (15 papers). The work is most often cited by research in Endocrine and Autonomic Systems (714 citations), Behavioral Neuroscience (164 citations) and Reproductive Medicine (347 citations). Ken Fujiwara has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Takashi Yashiro, Toshihiko Yada, Fumihiko Maekawa, Motoshi Kikuchi, Kinji Inoue, Ikuo Daibo, Kotaro Horiguchi, Hirokazu Matsumoto, Chieko Kitada and Minoru Maruyama. Their work appears in journals such as PLoS ONE, Cell Metabolism and Diabetes.
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.