Atsushi Kakinuma
- Molecular Biology top 10%
- Pollution top 2%
- Immunology top 10%
- Genetics top 10%
- Biotechnology top 5%
- Co-authors
- Gakuzo TamuraΚει ArimaHiromu SuginoMasao ISONOTsuneo AsanoKoichi KatoKenji KawaharaHiroaki Oda
- Topics
- Monoclonal and Polyclonal Antibodies Research (6 papers)Microbial bioremediation and biosurfactants (6 papers)Amino Acid Enzymes and Metabolism (5 papers)
- Cited by
- PollutionBiotechnologyMicrobiology
- Journals
- NatureCellNature Biotechnology
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Atsushi Kakinuma
55 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 771
- Pollution 544
- Immunology 223
- Genetics 210
- Biotechnology 196
Countries citing papers authored by Atsushi Kakinuma
This map shows the geographic impact of Atsushi Kakinuma'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 Atsushi Kakinuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Kakinuma more than expected).
Fields of papers citing papers by Atsushi Kakinuma
This network shows the impact of papers produced by Atsushi Kakinuma. 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 Atsushi Kakinuma. The network helps show where Atsushi Kakinuma may publish in the future.
Co-authorship network of co-authors of Atsushi Kakinuma
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Kakinuma. A scholar is included among the top collaborators of Atsushi Kakinuma 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 Atsushi Kakinuma. Atsushi Kakinuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 16 | |
| 4 | 34 | |
| 5 | 26 | |
| 6 | 9 | |
| 7 | 32 | |
| 8 | 9 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 15 | |
| 12 | 23 | |
| 13 | 5 | |
| 14 | 28 | |
| 15 | 11 | |
| 16 | 33 | |
| 17 | 7 | |
| 18 | 23 | |
| 19 | Surfactin, a crystalline peptidelipid surfactant produced by Bacillussubtilis: Isolation, characterization and its inhibition of fibrin clot formationbreakdown → | 682 |
| 20 | Degradation of Nucleic Acids and Related Compounds by Microbial Enzymes:Part XI. Presence of 3'-Nucleotidase in the Culture Filtrate of Bacillus subtilis | 1 |
About Atsushi Kakinuma
Atsushi Kakinuma is a scholar working on Biotechnology, Biochemistry and Pollution, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Microbial bioremediation and biosurfactants (6 papers) and Amino Acid Enzymes and Metabolism (5 papers). The work is most often cited by research in Pollution (544 citations), Biotechnology (196 citations) and Microbiology (103 citations). Atsushi Kakinuma has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Gakuzo Tamura, Κει Arima, Hiromu Sugino, Masao ISONO, Tsuneo Asano, Koichi Kato, Kenji Kawahara, Hiroaki Oda, Yukiko Yoshida and Takashi Shima. Their work appears in journals such as Nature, Cell and Nature Biotechnology.
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.