Jeffrey Abbott
Impact in
-
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Bioengineering top 5%
- Analytical Chemistry and Sensors
Papers in
-
- Neuroscience and Neural Engineering 11
-
- Advanced Memory and Neural Computing 6
- Co-authors
- Donhee Ham (14 shared papers)Hongkun Park (11 shared papers)Tianyang Ye (9 shared papers)Ling Qin (5 shared papers)Rona S. Gertner (7 shared papers)Marsela Jorgolli (2 shared papers)Wenxuan Wu (5 shared papers)Guangyu Xu (3 shared papers)
- Journals
- Nature Communications (2 papers)Lab on a Chip (2 papers)Nature Biomedical Engineering (1 paper)Nature Nanotechnology (1 paper)IEEE Transactions on Electron Devices (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Jeffrey Abbott
14 papers receiving 794 citations
Peers
Comparison fields: 5 of 60
- Cellular and Molecular Neuroscience 467
- Bioengineering 114
- Electrochemistry 106
- Biomedical Engineering 354
- Cognitive Neuroscience 107
Countries citing papers authored by Jeffrey Abbott
This map shows the geographic impact of Jeffrey Abbott'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 Jeffrey Abbott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Abbott more than expected).
Fields of papers citing papers by Jeffrey Abbott
This network shows the impact of papers produced by Jeffrey Abbott. 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 Jeffrey Abbott. The network helps show where Jeffrey Abbott may publish in the future.
Co-authors
The 23 scholars most cited alongside Jeffrey Abbott, 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 | 2017 | 220 | |
| 2 | 2019 | 208 | |
| 3 | 2014 | 110 | |
| 4 | 2018 | 89 | |
| 5 | 2016 | 42 | |
| 6 | 2022 | 31 | |
| 7 | 2022 | 30 | |
| 8 | 2020 | 29 | |
| 9 | 2020 | 20 | |
| 10 | 2023 | 13 | |
| 11 | 2019 | 3 | |
| 12 | 2019 | 2 | |
| 13 | 2017 | 1 | |
| 14 | 2018 | 1 |
About Jeffrey Abbott
Jeffrey Abbott is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Cognitive Neuroscience, Bioengineering and Biomedical Engineering, having authored 14 papers that have together received 799 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (11 papers), Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (4 papers), Analytical Chemistry and Sensors (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Electrochemical Analysis and Applications (3 papers), Cell Image Analysis Techniques (2 papers) and Nanowire Synthesis and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (467 citations), Bioengineering (114 citations), Electrochemistry (106 citations), Biomedical Engineering (354 citations) and Cognitive Neuroscience (107 citations). Jeffrey Abbott has collaborated with scholars based in United States and France. Frequent co-authors include Donhee Ham, Hongkun Park, Tianyang Ye, Ling Qin, Rona S. Gertner, Marsela Jorgolli, Wenxuan Wu, Guangyu Xu, Yi Song and Hosang Yoon. Their work appears in journals such as Nature Communications, Lab on a Chip, Nature Biomedical Engineering, Nature Nanotechnology and IEEE Transactions on Electron Devices.
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.