H. Fujisawa
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Cell Biology top 5%
- Physiology top 10%
- Biochemistry top 2%
- Co-authors
- Takamasa TobimatsuSachiko OkunoT. KitaniIsamu KameshitaTakashi YamauchiH NakataAtsuhiko IshidaMutsuo Yamaguchi
- Topics
- Protein Kinase Regulation and GTPase Signaling (14 papers)Enzyme Structure and Function (5 papers)Peptidase Inhibition and Analysis (4 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
H. Fujisawa
49 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 669
- Cell Biology 301
- Physiology 243
- Biochemistry 211
Countries citing papers authored by H. Fujisawa
This map shows the geographic impact of H. 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 H. Fujisawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Fujisawa more than expected).
Fields of papers citing papers by H. Fujisawa
This network shows the impact of papers produced by H. 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 H. Fujisawa. The network helps show where H. Fujisawa may publish in the future.
Co-authorship network of co-authors of H. Fujisawa
This figure shows the co-authorship network connecting the top 25 collaborators of H. Fujisawa. A scholar is included among the top collaborators of H. 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 H. Fujisawa. H. 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 | Precision measurement of the half-life of 90m Nb and 99m Tc | 2 |
| 2 | 71 | |
| 3 | 34 | |
| 4 | 18 | |
| 5 | 12 | |
| 6 | 12 | |
| 7 | 28 | |
| 8 | 18 | |
| 9 | 7 | |
| 10 | 18 | |
| 11 | 14 | |
| 12 | 5 | |
| 13 | Differential distribution of CaM kinases and induction of c-fos expression by flashing and sustained light in rat retinal cells. | 20 |
| 14 | 10 | |
| 15 | 80 | |
| 16 | 244 | |
| 17 | 3 | |
| 18 | PARTIAL PURIFICATION OF MEIOSIS-REINITIATION-INDUCING FACTOR OF FROG OOCYTES FROM CILIATE TETRAHYMENA(Cell Biology and Morphology)(Proceedings of the Sixty-Second Annual Meeting of the Zoological Society of Japan) | 1 |
| 19 | 12 | |
| 20 | 65 |
About H. Fujisawa
H. Fujisawa is a scholar working on Biochemistry, Molecular Biology and Cell Biology, having authored 49 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (14 papers), Enzyme Structure and Function (5 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (669 citations), Biochemistry (211 citations) and Molecular Biology (1.6k citations). H. Fujisawa has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Takamasa Tobimatsu, Sachiko Okuno, T. Kitani, Isamu Kameshita, Takashi Yamauchi, H Nakata, Atsuhiko Ishida, Mutsuo Yamaguchi, Yasukazu Nakamura and Fumi Sato. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry and Brain Research.
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.