Jun Kohno
Impact in
- Organic Chemistry top 5%
- Asymmetric Synthesis and Catalysis
- Synthetic Organic Chemistry Methods
- Carbohydrate Chemistry and Synthesis
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
Papers in
- Pharmacology 14
- Microbial Natural Products and Biosynthesis 13
- Fungal Biology and Applications 5
- Oncology 7
- Peptidase Inhibition and Analysis 5
- Co-authors
- MAKI NISHIO (25 shared papers)Saburo Komatsubara (20 shared papers)Tetsuo Ohnuki (9 shared papers)Yutaka Koguchi (5 shared papers)Tôru Okuda (14 shared papers)Hiroshi Miyamoto (1 shared paper)Kimio Kawano (12 shared papers)Masataka Kuroda (1 shared paper)
- Journals
- The Journal of Antibiotics (16 papers)Tetrahedron (3 papers)Journal of Histochemistry & Cytochemistry (1 paper)ChemBioChem (1 paper)Carbohydrate Research (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Jun Kohno
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Organic Chemistry 490
- Pharmacology 265
- Biotechnology 110
- Biomaterials 144
- Molecular Biology 616
Countries citing papers authored by Jun Kohno
This map shows the geographic impact of Jun Kohno'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 Jun Kohno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kohno more than expected).
Fields of papers citing papers by Jun Kohno
This network shows the impact of papers produced by Jun Kohno. 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 Jun Kohno. The network helps show where Jun Kohno may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Kohno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 250 | |
| 2 | 2000 | 247 | |
| 3 | 2005 | 177 | |
| 4 | 1996 | 71 | |
| 5 | 2002 | 50 | |
| 6 | 2004 | 47 | |
| 7 | 1999 | 47 | |
| 8 | 1999 | 42 | |
| 9 | 1996 | 34 | |
| 10 | 1999 | 33 | |
| 11 | 2007 | 29 | |
| 12 | 2001 | 23 | |
| 13 | 2000 | 23 | |
| 14 | 2000 | 23 | |
| 15 | 1999 | 22 | |
| 16 | 1999 | 22 | |
| 17 | 1996 | 19 | |
| 18 | 2001 | 17 | |
| 19 | 2000 | 17 | |
| 20 | 1999 | 14 |
About Jun Kohno
Jun Kohno is a scholar working on Pharmacology, Oncology, Organic Chemistry, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (13 papers), Ubiquitin and proteasome pathways (7 papers), 14-3-3 protein interactions (5 papers), Fungal Biology and Applications (5 papers), Peptidase Inhibition and Analysis (5 papers), Glycosylation and Glycoproteins Research (4 papers), Chemical synthesis and alkaloids (3 papers) and Synthesis and Biological Evaluation (3 papers). The work is most often cited by research in Organic Chemistry (490 citations), Pharmacology (265 citations), Biotechnology (110 citations), Biomaterials (144 citations) and Molecular Biology (616 citations). Jun Kohno has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include MAKI NISHIO, Saburo Komatsubara, Tetsuo Ohnuki, Yutaka Koguchi, Tôru Okuda, Hiroshi Miyamoto, Kimio Kawano, Masataka Kuroda, Kazuya Nakao and Masaaki Sakurai. Their work appears in journals such as The Journal of Antibiotics, Tetrahedron, Journal of Histochemistry & Cytochemistry, ChemBioChem and Carbohydrate 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.