Ikuo Uchida
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Antibiotic Resistance in Bacteria 12
- Microbiology 14
- Microbial infections and disease research 14
- Co-authors
- Sou‐ichi MakinoNobuaki TerakadoM YoshikawaChihiro SasakawaToru KannoShinichi HatamaKen KatsudaMasato Akiba
- Journals
- Veterinary Microbiology (10 papers)Microbiology (7 papers)Journal of Clinical Microbiology (5 papers)Acta veterinaria Scandinavica (3 papers)Molecular Microbiology (3 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Ikuo Uchida
79 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 77
- Endocrinology 272
- Molecular Medicine 256
- Microbiology 268
- Biotechnology 283
- Food Science 514
Countries citing papers authored by Ikuo Uchida
This map shows the geographic impact of Ikuo Uchida'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 Ikuo Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikuo Uchida more than expected).
Fields of papers citing papers by Ikuo Uchida
This network shows the impact of papers produced by Ikuo Uchida. 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 Ikuo Uchida. The network helps show where Ikuo Uchida may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ikuo Uchida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2022 | 0 | |
| 3 | 2019 | 12 | |
| 4 | 2015 | 2 | |
| 5 | 2015 | 3 | |
| 6 | 2014 | 43 | |
| 7 | 2012 | 22 | |
| 8 | 2008 | 15 | |
| 9 | 2008 | 1 | |
| 10 | 2008 | 15 | |
| 11 | 2006 | 50 | |
| 12 | 2001 | 30 | |
| 13 | 2001 | 17 | |
| 14 | 2000 | 9 | |
| 15 | 1997 | 71 | |
| 16 | 1996 | 2 | |
| 17 | 1993 | 20 | |
| 18 | 1988 | 69 | |
| 19 | 1987 | 6 | |
| 20 | STUDIES ON INHIBITION OF YERSINIA ENTEROCOLITICA SETTLING IN THE INTESTINAL TRACT OF MICE | 1981 | 0 |
About Ikuo Uchida
Ikuo Uchida is a scholar working on Molecular Medicine, Microbiology, Endocrinology, Food Science and Ecology, having authored 83 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (38 papers), Salmonella and Campylobacter epidemiology (29 papers), Microbial infections and disease research (14 papers), Bacterial Genetics and Biotechnology (13 papers), Antibiotic Resistance in Bacteria (12 papers), Bacillus and Francisella bacterial research (11 papers), Viral gastroenteritis research and epidemiology (7 papers) and Probiotics and Fermented Foods (6 papers). The work is most often cited by research in Endocrinology (272 citations), Molecular Medicine (256 citations), Microbiology (268 citations), Biotechnology (283 citations) and Food Science (514 citations). Ikuo Uchida has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Sou‐ichi Makino, Nobuaki Terakado, M Yoshikawa, Chihiro Sasakawa, Toru Kanno, Shinichi Hatama, Ken Katsuda, Masato Akiba, Ryoko Ishihara and Hyeng‐Il Cheun. Their work appears in journals such as Veterinary Microbiology, Microbiology, Journal of Clinical Microbiology, Acta veterinaria Scandinavica and Molecular Microbiology.
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.