Jun Kohno

1.6k citations
31 papers · 1.3k indexed · h-index 18

Impact in

    • Asymmetric Synthesis and Catalysis
    • Synthetic Organic Chemistry Methods
    • Microbial Natural Products and Biosynthesis

Papers in

    • Ubiquitin and proteasome pathways 8
    • Glycosylation and Glycoproteins Research 5
    • 14-3-3 protein interactions 5
    • Microbial Natural Products and Biosynthesis 13
    • Fungal Biology and Applications 5

Jun Kohno

30 papers receiving 1.3k citations

Peers

Jun Kohno
Comparison fields: 5 of 97
  • Organic Chemistry 492
  • Pharmacology 266
  • Biotechnology 108
  • Biomaterials 139
  • Molecular Biology 722
Replace Lars Herfindal with:
Lars Herfindal Norway
Sanja Perović‐Ottstadt Germany
Kaneo Kanoh Japan
Patricia M. Flatt United States
Hua Tang China
G. E. Morozevich Russia
Koichi Akiyama Japan
Sebastian Wendeborn Switzerland
Edmund I. Graziani United States
Jun Kohno relative to Lars Herfindal Norway Lars Herfindal's profile →
Citations per field
00.5×2.8×
Lars Herfindal · 1×
Citations per year

Countries citing papers authored by Jun Kohno

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Kohno Line = papers co-authored together Jun Kohno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000238
2 2000233
3 2005166
4 2001147
5 199661
6 200250
7 200445
8 199945
9 199941
10 199634
11 199931
12 200726
13 199922
14 200122
15 200021
16 200021
17 199920
18 199619
19 200116
20 200016

About Jun Kohno

Jun Kohno is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Oncology 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 (8 papers), Glycosylation and Glycoproteins Research (5 papers), 14-3-3 protein interactions (5 papers), Fungal Biology and Applications (5 papers), Peptidase Inhibition and Analysis (5 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 (492 citations), Pharmacology (266 citations), Biotechnology (108 citations), Biomaterials (139 citations) and Molecular Biology (722 citations). Jun Kohno has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include MAKI NISHIO, Saburo Komatsubara, Yutaka Koguchi, Tetsuo Ohnuki, Tôru Okuda, Hiroshi Miyamoto, M. Groll, Robert Huber, Kimio Kawano and Masataka Kuroda. Their work appears in journals such as The Journal of Antibiotics, Tetrahedron, Bioscience Biotechnology and Biochemistry, ChemBioChem and Journal of Histochemistry & Cytochemistry.

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.

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