Hitoshi Fujisawa
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 2%
- Cell Biology top 1%
- Physiology top 5%
- Biochemistry top 1%
- Co-authors
- Takashi YamauchiSachiko OkunoIsamu KameshitaTakako KitaniHiroyasu NakataAtsuhiko IshidaToshiaki IsobeTohru Ichimura
- Topics
- Protein Kinase Regulation and GTPase Signaling (19 papers)Neuroscience and Neuropharmacology Research (14 papers)Polyamine Metabolism and Applications (13 papers)
- Journals
- Journal of Biological ChemistryAnalytical BiochemistryBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Hitoshi Fujisawa
112 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 2.8k
- Cellular and Molecular Neuroscience 1.1k
- Cell Biology 760
- Physiology 410
- Biochemistry 342
Countries citing papers authored by Hitoshi Fujisawa
This map shows the geographic impact of Hitoshi Fujisawa'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 Hitoshi Fujisawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Fujisawa more than expected).
Fields of papers citing papers by Hitoshi Fujisawa
This network shows the impact of papers produced by Hitoshi Fujisawa. 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 Hitoshi Fujisawa. The network helps show where Hitoshi Fujisawa may publish in the future.
Co-authorship network of co-authors of Hitoshi Fujisawa
This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Fujisawa. A scholar is included among the top collaborators of Hitoshi Fujisawa 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 Hitoshi Fujisawa. Hitoshi Fujisawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 6 | |
| 3 | 20 | |
| 4 | 8 | |
| 5 | 18 | |
| 6 | 52 | |
| 7 | 9 | |
| 8 | 33 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 23 | |
| 12 | 26 | |
| 13 | 63 | |
| 14 | 24 | |
| 15 | 17 | |
| 16 | 40 | |
| 17 | 19 | |
| 18 | 28 | |
| 19 | 8 | |
| 20 | 32 |
About Hitoshi Fujisawa
Hitoshi Fujisawa is a scholar working on Biochemistry, Cell Biology and Physiology, having authored 112 papers that have together received 4.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (19 papers), Neuroscience and Neuropharmacology Research (14 papers) and Polyamine Metabolism and Applications (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Biochemistry (342 citations) and Cell Biology (760 citations). Hitoshi Fujisawa has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Takashi Yamauchi, Sachiko Okuno, Isamu Kameshita, Takako Kitani, Hiroyasu Nakata, Atsuhiko Ishida, Toshiaki Isobe, Tohru Ichimura, Mitsuhiro Nozaki and Osamu Hayaishi. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry and Biochemical and Biophysical Research Communications.
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.