Akio Abe
- Endocrinology top 0.2%
- Escherichia coli research studies 37
- Vibrio bacteria research studies 11
- Microbiology top 1%
- Bacterial Infections and Vaccines 17
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 9
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology 10
- Genetics top 2%
- Bacterial Genetics and Biotechnology 16
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- Geotechnical Engineering and Soil Stabilization 8
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- Salmonella and Campylobacter epidemiology 7
- Co-authors
- Asaomi KuwaeChihiro SasakawaB. Brett FinlayTakeshi MatsuzawaTakeshi NagaiKachiko SekiyaMinako OhishiTomoaki Ogino
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Akio Abe
79 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 111
- Endocrinology 1.3k
- Microbiology 355
- Molecular Medicine 251
- Infectious Diseases 698
- Genetics 745
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | 2020 | 4 | |
| 3 | 2018 | 8 | |
| 4 | 2017 | 8 | |
| 5 | 2013 | 43 | |
| 6 | 2013 | 0 | |
| 7 | 2012 | 3 | |
| 8 | 2009 | 73 | |
| 9 | 2009 | 50 | |
| 10 | Design of Nonlinear Attitude Control System for Spaceplane Using Disturbance-Accommodating Control | 2008 | 5 |
| 11 | 2008 | 9 | |
| 12 | 2007 | 13 | |
| 13 | Lateral load on piles due to liquefaction-induced lateral spreading during one-g shake table experiments | 2006 | 8 |
| 14 | 2005 | 0 | |
| 15 | [Development of the screening system for the bacterial type III secretion apparatus inhibitor]. | 2002 | 4 |
| 16 | 2001 | 258 | |
| 17 | 1999 | 129 | |
| 18 | 1998 | 3 | |
| 19 | 1993 | 23 | |
| 20 | 1985 | 1 |
About Akio Abe
Akio Abe is a scholar working on Endocrinology, Microbiology, Molecular Medicine, Genetics and General Engineering, having authored 85 papers that have together received 2.6k 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 (1.3k citations), Microbiology (355 citations), Molecular Medicine (251 citations), Infectious Diseases (698 citations) and Genetics (745 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, Minako Ohishi, Tomoaki Ogino, Rebekah DeVinney and Koichi Tamano. Their work appears in journals such as Infection and Immunity, PLoS ONE, The Journal of Antibiotics, Journal of Bacteriology 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.