Kimihiro Abe
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Bacterial biofilms and quorum sensing 3
- Genomics and Phylogenetic Studies 3
- Ecology 10
- Bacteriophages and microbial interactions 9
- Microbial Community Ecology and Physiology 3
- Co-authors
- Nobuhiko Nomura (5 shared papers)Satoru Suzuki (1 shared paper)Tsutomu Sato (10 shared papers)Nozomu Obana (6 shared papers)K. Nakamura (2 shared papers)Patrick Eichenberger (5 shared papers)Masanori Toyofuku (2 shared papers)Yuki Maruyama (1 shared paper)
- Journals
- Molecular Microbiology (5 papers)Frontiers in Microbiology (2 papers)iScience (1 paper)FEMS Microbiology Ecology (1 paper)Human Vaccines & Immunotherapeutics (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kimihiro Abe
19 papers receiving 674 citations
Kimihiro Abe's Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Medicine 96
- Endocrinology 82
- Pollution 152
- Microbiology 74
- Ecology 237
Countries citing papers authored by Kimihiro Abe
This map shows the geographic impact of Kimihiro 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 Kimihiro Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimihiro Abe more than expected).
Fields of papers citing papers by Kimihiro Abe
This network shows the impact of papers produced by Kimihiro 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 Kimihiro Abe. The network helps show where Kimihiro Abe may publish in the future.
Co-authors
The 25 scholars most cited alongside Kimihiro 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 | Biofilms: hot spots of horizontal gene transfer (HGT) in aquatic environments, with a focus on a new HGT mechanism Hit paper breakdown → | 2020 | 301 |
| 2 | 2014 | 69 | |
| 3 | 2010 | 61 | |
| 4 | 2018 | 50 | |
| 5 | 2021 | 42 | |
| 6 | 2017 | 26 | |
| 7 | 2019 | 21 | |
| 8 | 2013 | 18 | |
| 9 | 2010 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2019 | 12 | |
| 12 | 2020 | 9 | |
| 13 | 2017 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 1982 | 6 | |
| 17 | 1981 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Kimihiro Abe
Kimihiro Abe is a scholar working on Molecular Biology, Ecology, Genetics, Microbiology and Infectious Diseases, having authored 20 papers that have together received 678 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (9 papers), Bacteriophages and microbial interactions (9 papers), Bacterial Infections and Vaccines (5 papers), Microbial Community Ecology and Physiology (3 papers), Bacterial biofilms and quorum sensing (3 papers), Genomics and Phylogenetic Studies (3 papers), Pneumonia and Respiratory Infections (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). The work is most often cited by research in Molecular Medicine (96 citations), Endocrinology (82 citations), Pollution (152 citations), Microbiology (74 citations) and Ecology (237 citations). Kimihiro Abe has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Nobuhiko Nomura, Satoru Suzuki, Tsutomu Sato, Nozomu Obana, K. Nakamura, Patrick Eichenberger, Masanori Toyofuku, Yuki Maruyama, Adam Driks and Nina Maryn. Their work appears in journals such as Molecular Microbiology, Frontiers in Microbiology, iScience, FEMS Microbiology Ecology and Human Vaccines & Immunotherapeutics.
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.