Jeffrey Abbott

982 total citations
14 papers, 781 citations indexed

About

Jeffrey Abbott is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Jeffrey Abbott has authored 14 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 8 papers in Electrical and Electronic Engineering and 4 papers in Cognitive Neuroscience. Recurrent topics in Jeffrey Abbott's work include Neuroscience and Neural Engineering (11 papers), Advanced Memory and Neural Computing (6 papers) and Neural dynamics and brain function (4 papers). Jeffrey Abbott is often cited by papers focused on Neuroscience and Neural Engineering (11 papers), Advanced Memory and Neural Computing (6 papers) and Neural dynamics and brain function (4 papers). Jeffrey Abbott collaborates with scholars based in United States and France. Jeffrey Abbott's co-authors include Donhee Ham, Hongkun Park, Tianyang Ye, Ling Qin, Rona S. Gertner, Marsela Jorgolli, Wenxuan Wu, Guangyu Xu, Yi Song and Jing Kong and has published in prestigious journals such as Nature Communications, Accounts of Chemical Research and Nature Nanotechnology.

In The Last Decade

Jeffrey Abbott

14 papers receiving 776 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeffrey Abbott United States 10 464 352 320 176 113 14 781
Alexander Stettler Switzerland 10 515 1.1× 308 0.9× 361 1.1× 113 0.6× 108 1.0× 17 813
Vanessa Maybeck Germany 17 491 1.1× 429 1.2× 426 1.3× 174 1.0× 98 0.9× 40 984
Tianyang Ye United States 8 444 1.0× 258 0.7× 243 0.8× 81 0.5× 57 0.5× 14 642
Amir Shadmani Switzerland 11 541 1.2× 359 1.0× 376 1.2× 83 0.5× 88 0.8× 15 799
Lars Wallman Sweden 19 297 0.6× 482 1.4× 178 0.6× 122 0.7× 37 0.3× 28 866
Kosmas Deligkaris Japan 5 448 1.0× 306 0.9× 224 0.7× 81 0.5× 57 0.5× 7 938
Maaike Op de Beeck Belgium 12 175 0.4× 424 1.2× 328 1.0× 132 0.8× 177 1.6× 53 691
Émeline Descamps France 12 447 1.0× 328 0.9× 271 0.8× 75 0.4× 53 0.5× 25 731
Rodrigo Gómez Spain 14 167 0.4× 259 0.7× 211 0.7× 129 0.7× 53 0.5× 31 533
Günter Wrobel Germany 11 283 0.6× 234 0.7× 160 0.5× 85 0.5× 131 1.2× 15 485

Countries citing papers authored by Jeffrey Abbott

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jeffrey Abbott

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Abbott. A scholar is included among the top collaborators of Jeffrey Abbott based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey Abbott. Jeffrey Abbott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Wu, Wenxuan, Avik Mukherjee, Pooja Suresh, et al.. (2023). A semiconductor 96-microplate platform for electrical-imaging based high-throughput phenotypic screening. Nature Communications. 14(1). 7576–7576. 12 indexed citations
2.
Jung, Han Sae, Woo‐Bin Jung, Jun Wang, et al.. (2022). CMOS electrochemical pH localizer-imager. Science Advances. 8(30). eabm6815–eabm6815. 31 indexed citations
3.
Abbott, Jeffrey, Avik Mukherjee, Wenxuan Wu, et al.. (2022). Multi-parametric functional imaging of cell cultures and tissues with a CMOS microelectrode array. Lab on a Chip. 22(7). 1286–1296. 30 indexed citations
4.
Abbott, Jeffrey, Tianyang Ye, Ling Qin, et al.. (2020). The Design of a CMOS Nanoelectrode Array With 4096 Current-Clamp/Voltage-Clamp Amplifiers for Intracellular Recording/Stimulation of Mammalian Neurons. IEEE Journal of Solid-State Circuits. 55(9). 2567–2582. 29 indexed citations
5.
Abbott, Jeffrey, Tianyang Ye, Rona S. Gertner, et al.. (2020). Extracellular recording of direct synaptic signals with a CMOS-nanoelectrode array. Lab on a Chip. 20(17). 3239–3248. 20 indexed citations
6.
Abbott, Jeffrey, Tianyang Ye, Rona S. Gertner, et al.. (2019). A nanoelectrode array for obtaining intracellular recordings from thousands of connected neurons. Nature Biomedical Engineering. 4(2). 232–241. 200 indexed citations
7.
Abbott, Jeffrey, Tianyang Ye, Hongkun Park, & Donhee Ham. (2019). CMOS interface with biological molecules and cells. 13–16. 3 indexed citations
8.
Abbott, Jeffrey, Tianyang Ye, Hongkun Park, & Donhee Ham. (2019). CMOS interface with biological molecules and cells : Invited review paper. 13–16. 1 indexed citations
9.
Abbott, Jeffrey, Tianyang Ye, Donhee Ham, & Hongkun Park. (2018). Optimizing Nanoelectrode Arrays for Scalable Intracellular Electrophysiology. Accounts of Chemical Research. 51(3). 600–608. 87 indexed citations
10.
Abbott, Jeffrey, Ling Qin, Tianyang Ye, et al.. (2018). CMOS electronics probe inside a cellular network — Invited review paper. 1–7. 1 indexed citations
11.
Abbott, Jeffrey, Tianyang Ye, Ling Qin, et al.. (2017). CMOS nanoelectrode array for all-electrical intracellular electrophysiological imaging. Nature Nanotechnology. 12(5). 460–466. 216 indexed citations
12.
Abbott, Jeffrey, Donhee Ham, & Guangyu Xu. (2017). All-Electrical Graphene DNA Sensor Array. Methods in molecular biology. 1572. 169–187. 1 indexed citations
13.
Xu, Guangyu, Jeffrey Abbott, & Donhee Ham. (2016). Optimization of CMOS-ISFET-Based Biomolecular Sensing: Analysis and Demonstration in DNA Detection. IEEE Transactions on Electron Devices. 1–8. 41 indexed citations
14.
Xu, Guangyu, Jeffrey Abbott, Ling Qin, et al.. (2014). Electrophoretic and field-effect graphene for all-electrical DNA array technology. Nature Communications. 5(1). 4866–4866. 109 indexed citations

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.

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