Tomoaki Abe
Impact in
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
- Cell Biology 19
- Cellular Mechanics and Interactions 17
- Microtubule and mitosis dynamics 7
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- Heat shock proteins research 3
- RNA Interference and Gene Delivery 2
- Co-authors
- Jeffrey G. Williams (11 shared papers)Anne Early (5 shared papers)Yasuo Maeda (5 shared papers)Masashi Fukuzawa (5 shared papers)Tsuyoshi Araki (4 shared papers)Cornelis J. Weijer (2 shared papers)Toshio Iijima (1 shared paper)Takefumi Kawata (3 shared papers)
- Journals
- Development (4 papers)Developmental Biology (3 papers)Cell (2 papers)Nucleic Acids Research (2 papers)Differentiation (2 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Tomoaki Abe
31 papers receiving 811 citations
Peers
Comparison fields: 5 of 88
- Cell Biology 527
- Aging 54
- Biophysics 38
- Molecular Biology 412
- Immunology and Allergy 31
Countries citing papers authored by Tomoaki Abe
This map shows the geographic impact of Tomoaki 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 Tomoaki Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoaki Abe more than expected).
Fields of papers citing papers by Tomoaki Abe
This network shows the impact of papers produced by Tomoaki 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 Tomoaki Abe. The network helps show where Tomoaki Abe may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomoaki 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 119 | |
| 2 | 1998 | 93 | |
| 3 | 1989 | 73 | |
| 4 | 1994 | 72 | |
| 5 | 1988 | 56 | |
| 6 | 2003 | 40 | |
| 7 | 2003 | 38 | |
| 8 | 2003 | 32 | |
| 9 | 2003 | 30 | |
| 10 | 2018 | 28 | |
| 11 | 2000 | 25 | |
| 12 | 2001 | 24 | |
| 13 | 2003 | 23 | |
| 14 | 2001 | 23 | |
| 15 | 1997 | 22 | |
| 16 | 2012 | 20 | |
| 17 | 1996 | 18 | |
| 18 | 1989 | 18 | |
| 19 | 1996 | 13 | |
| 20 | 2022 | 12 |
About Tomoaki Abe
Tomoaki Abe is a scholar working on Cell Biology, Molecular Biology, Biomedical Engineering, Ecology, Evolution, Behavior and Systematics and Mechanical Engineering, having authored 33 papers that have together received 818 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (17 papers), Microtubule and mitosis dynamics (7 papers), Biocrusts and Microbial Ecology (5 papers), Cytokine Signaling Pathways and Interactions (3 papers), Heat shock proteins research (3 papers), Slime Mold and Myxomycetes Research (3 papers), 3D Printing in Biomedical Research (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Cell Biology (527 citations), Aging (54 citations), Biophysics (38 citations), Molecular Biology (412 citations) and Immunology and Allergy (31 citations). Tomoaki Abe has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Jeffrey G. Williams, Anne Early, Yasuo Maeda, Masashi Fukuzawa, Tsuyoshi Araki, Cornelis J. Weijer, Toshio Iijima, Takefumi Kawata, Takashi Ohmori and Aiko Amagai. Their work appears in journals such as Development, Developmental Biology, Cell, Nucleic Acids Research and Differentiation.
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.