Jun Ishibashi
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Insect Science top 0.5%
- Insect Utilization and Effects
- Insect symbiosis and bacterial influences
Papers in
-
- Insect Resistance and Genetics 13
- Viral Infectious Diseases and Gene Expression in Insects 9
- Microbiology 25
- Antimicrobial Peptides and Activities 25
- Co-authors
- Minoru Yamakawa (35 shared papers)Hiromitsu Tanaka (16 shared papers)Ai Asaoka (9 shared papers)Seiichi Furukawa (12 shared papers)Aki Sagisaka (13 shared papers)Hiroshi Nakazawa (5 shared papers)Takashi Iwasaki (7 shared papers)Kangayam M. Ponnuvel (2 shared papers)
In The Last Decade
Jun Ishibashi
66 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 128
- Microbiology 534
- Insect Science 1.0k
- Immunology 976
- Cellular and Molecular Neuroscience 677
- Environmental Chemistry 219
Countries citing papers authored by Jun Ishibashi
This map shows the geographic impact of Jun Ishibashi'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 Ishibashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ishibashi more than expected).
Fields of papers citing papers by Jun Ishibashi
This network shows the impact of papers produced by Jun Ishibashi. 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 Ishibashi. The network helps show where Jun Ishibashi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ishibashi, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 316 | |
| 2 | 2003 | 187 | |
| 3 | 2009 | 143 | |
| 4 | 2001 | 136 | |
| 5 | 2004 | 128 | |
| 6 | 2011 | 119 | |
| 7 | 2008 | 108 | |
| 8 | 2001 | 94 | |
| 9 | 2014 | 91 | |
| 10 | 2003 | 86 | |
| 11 | 2009 | 67 | |
| 12 | 1991 | 65 | |
| 13 | 2000 | 58 | |
| 14 | 2013 | 56 | |
| 15 | 1994 | 53 | |
| 16 | 1999 | 51 | |
| 17 | 2010 | 51 | |
| 18 | 1995 | 49 | |
| 19 | 1997 | 48 | |
| 20 | 2011 | 47 |
About Jun Ishibashi
Jun Ishibashi is a scholar working on Molecular Biology, Microbiology, Immunology, Insect Science and Cellular and Molecular Neuroscience, having authored 67 papers that have together received 2.7k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (25 papers), Invertebrate Immune Response Mechanisms (22 papers), Insect Utilization and Effects (13 papers), Insect Resistance and Genetics (13 papers), Neurobiology and Insect Physiology Research (12 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers), Methane Hydrates and Related Phenomena (8 papers) and Silk-based biomaterials and applications (8 papers). The work is most often cited by research in Microbiology (534 citations), Insect Science (1.0k citations), Immunology (976 citations), Cellular and Molecular Neuroscience (677 citations) and Environmental Chemistry (219 citations). Jun Ishibashi has collaborated with scholars based in Japan, India and Nepal. Frequent co-authors include Minoru Yamakawa, Hiromitsu Tanaka, Ai Asaoka, Seiichi Furukawa, Aki Sagisaka, Hiroshi Nakazawa, Takashi Iwasaki, Kangayam M. Ponnuvel, Toshitaka Gamo and Yoshiro Nakajima. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Biochemical Journal, Earth and Planetary Science Letters, Journal of Biological Chemistry and Insect Biochemistry and Molecular Biology.
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.