Takashi Hamada
- Molecular Biology
- Organic Chemistry top 10%
- Computational Theory and Mathematics top 2%
- Physiology
- Pharmacology top 10%
- Co-authors
- Yoshiaki KisoFumie SatoHirokazu UrabeKoushi HidakaYoshio HayashiTooru KimuraHiroshi MotaiDaisuke Suzuki
- Topics
- Computational Drug Discovery Methods (9 papers)Chemical Synthesis and Analysis (8 papers)Organometallic Complex Synthesis and Catalysis (5 papers)
- Journals
- Journal of the American Chemical SocietyApplied and Environmental MicrobiologyBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited States
In The Last Decade
Takashi Hamada
30 papers receiving 602 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 261
- Organic Chemistry 257
- Computational Theory and Mathematics 199
- Physiology 144
- Pharmacology 108
Countries citing papers authored by Takashi Hamada
This map shows the geographic impact of Takashi Hamada'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 Takashi Hamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Hamada more than expected).
Fields of papers citing papers by Takashi Hamada
This network shows the impact of papers produced by Takashi Hamada. 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 Takashi Hamada. The network helps show where Takashi Hamada may publish in the future.
Co-authorship network of co-authors of Takashi Hamada
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Hamada. A scholar is included among the top collaborators of Takashi Hamada 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 Takashi Hamada. Takashi Hamada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 8 | |
| 5 | 15 | |
| 6 | 15 | |
| 7 | 28 | |
| 8 | 5 | |
| 9 | 9 | |
| 10 | 27 | |
| 11 | 4 | |
| 12 | 42 | |
| 13 | 70 | |
| 14 | 52 | |
| 15 | 30 | |
| 16 | 20 | |
| 17 | 14 | |
| 18 | 1 | |
| 19 | 13 | |
| 20 | 23 |
About Takashi Hamada
Takashi Hamada is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Process Chemistry and Technology, having authored 30 papers that have together received 620 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Chemical Synthesis and Analysis (8 papers) and Organometallic Complex Synthesis and Catalysis (5 papers). The work is most often cited by research in Computational Theory and Mathematics (199 citations), Organic Chemistry (257 citations) and Pharmacology (108 citations). Takashi Hamada has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshiaki Kiso, Fumie Sato, Hirokazu Urabe, Koushi Hidaka, Yoshio Hayashi, Tooru Kimura, Hiroshi Motai, Daisuke Suzuki, Soko Kasai and Ping Liu. Their work appears in journals such as Journal of the American Chemical Society, Applied and Environmental Microbiology 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.