Akio Abe
Impact in
- Endocrinology top 0.2%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Microbiology top 1%
- Bacterial Infections and Vaccines
Papers in
-
- Escherichia coli research studies 37
- Vibrio bacteria research studies 11
- Genetics 26
- Bacterial Genetics and Biotechnology 16
- Co-authors
- Asaomi Kuwae (23 shared papers)Chihiro Sasakawa (4 shared papers)B. Brett Finlay (5 shared papers)Takeshi Matsuzawa (8 shared papers)Takeshi Nagai (3 shared papers)Kachiko Sekiya (3 shared papers)Tomoaki Ogino (2 shared papers)Minako Ohishi (2 shared papers)
- Journals
- Infection and Immunity (4 papers)PLoS ONE (4 papers)Journal of Bacteriology (3 papers)The Journal of Antibiotics (3 papers)Microbial Pathogenesis (3 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Akio Abe
81 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 112
- Endocrinology 1.4k
- Microbiology 369
- Molecular Medicine 255
- Infectious Diseases 727
- Genetics 737
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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 271 | |
| 2 | 1999 | 208 | |
| 3 | 1999 | 136 | |
| 4 | 2004 | 131 | |
| 5 | 2004 | 128 | |
| 6 | 1998 | 107 | |
| 7 | 2000 | 92 | |
| 8 | 2010 | 86 | |
| 9 | 2013 | 84 | |
| 10 | 2019 | 83 | |
| 11 | 2000 | 80 | |
| 12 | 2006 | 76 | |
| 13 | 2009 | 74 | |
| 14 | 2005 | 71 | |
| 15 | 2008 | 59 | |
| 16 | 2006 | 57 | |
| 17 | 2006 | 52 | |
| 18 | 2009 | 51 | |
| 19 | 2001 | 46 | |
| 20 | 2013 | 45 |
About Akio Abe
Akio Abe is a scholar working on Endocrinology, Genetics, Microbiology, Infectious Diseases and Civil and Structural Engineering, having authored 87 papers that have together received 2.7k indexed citations. Recurring topics across this work include Escherichia coli research studies (37 papers), Bacterial Infections and Vaccines (17 papers), Bacterial Genetics and Biotechnology (16 papers), Vibrio bacteria research studies (11 papers), Viral gastroenteritis research and epidemiology (10 papers), Antibiotic Resistance in Bacteria (9 papers), Geotechnical Engineering and Soil Stabilization (8 papers) and Salmonella and Campylobacter epidemiology (7 papers). The work is most often cited by research in Endocrinology (1.4k citations), Microbiology (369 citations), Molecular Medicine (255 citations), Infectious Diseases (727 citations) and Genetics (737 citations). Akio Abe has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Asaomi Kuwae, Chihiro Sasakawa, B. Brett Finlay, Takeshi Matsuzawa, Takeshi Nagai, Kachiko Sekiya, Tomoaki Ogino, Minako Ohishi, Rebekah DeVinney and Koichi Tamano. Their work appears in journals such as Infection and Immunity, PLoS ONE, Journal of Bacteriology, The Journal of Antibiotics and Microbial Pathogenesis.
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.