Akio Abe
Impact in
- Endocrinology top 0.2%
- Escherichia coli research studies
- Microbiology top 1%
- Bacterial Infections and Vaccines
- Microbial infections and disease research
Papers in
-
- Escherichia coli research studies 37
- Microbiology 17
- Bacterial Infections and Vaccines 17
- Microbial infections and disease research 4
- Co-authors
- Asaomi Kuwae (23 shared papers)B. Brett Finlay (7 shared papers)Chihiro Sasakawa (4 shared papers)Takeshi Matsuzawa (8 shared papers)Kachiko Sekiya (3 shared papers)Tomoaki Ogino (2 shared papers)Rebekah DeVinney (2 shared papers)Minako Ohishi (1 shared paper)
- Journals
- PLoS ONE (4 papers)Infection and Immunity (4 papers)Microbial Pathogenesis (3 papers)Journal of Bacteriology (3 papers)The Journal of Antibiotics (3 papers)
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Akio Abe
56 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 67
- Endocrinology 1.3k
- Microbiology 344
- Genetics 421
- Transplantation 23
- Food Science 119
Countries citing papers authored by Akio Abe
This map shows the geographic impact of Akio Abe'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 Akio Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akio Abe more than expected).
Fields of papers citing papers by Akio Abe
This network shows the impact of papers produced by Akio Abe. 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 Akio Abe. The network helps show where Akio Abe may publish in the future.
Co-authors
The 25 scholars most cited alongside Akio Abe, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 265 | |
| 2 | 1999 | 206 | |
| 3 | 1999 | 134 | |
| 4 | 2004 | 131 | |
| 5 | 2004 | 131 | |
| 6 | 1998 | 105 | |
| 7 | 2000 | 90 | |
| 8 | 2010 | 85 | |
| 9 | 2000 | 81 | |
| 10 | 2006 | 78 | |
| 11 | 2009 | 74 | |
| 12 | 2005 | 71 | |
| 13 | 2008 | 58 | |
| 14 | 2006 | 57 | |
| 15 | 2006 | 52 | |
| 16 | 2001 | 48 | |
| 17 | 2008 | 42 | |
| 18 | 2003 | 35 | |
| 19 | 2011 | 34 | |
| 20 | 2010 | 32 |
About Akio Abe
Akio Abe is a scholar working on Endocrinology, Microbiology, Genetics, Pharmacology and Food Science, having authored 57 papers that have together received 2.3k indexed citations. Recurring topics across this work include Escherichia coli research studies (37 papers), Bacterial Infections and Vaccines (17 papers), Bacterial Genetics and Biotechnology (13 papers), Microbial infections and disease research (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Genetic Associations and Epidemiology (3 papers), Salmonella and Campylobacter epidemiology (2 papers) and Plant Pathogenic Bacteria Studies (2 papers). The work is most often cited by research in Endocrinology (1.3k citations), Microbiology (344 citations), Genetics (421 citations), Transplantation (23 citations) and Food Science (119 citations). Akio Abe has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Asaomi Kuwae, B. Brett Finlay, Chihiro Sasakawa, Takeshi Matsuzawa, Kachiko Sekiya, Tomoaki Ogino, Rebekah DeVinney, Minako Ohishi, Koichi Tamano and Sei Yoshida. Their work appears in journals such as PLoS ONE, Infection and Immunity, Microbial Pathogenesis, Journal of Bacteriology and The Journal of Antibiotics.
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.