Frances S. Chance
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 1%
- Statistical and Nonlinear Physics top 2%
- Electrical and Electronic Engineering
- Molecular Biology
- Co-authors
- L. F. AbbottAlex D. ReyesSacha B. NelsonAttila LosonczyJeffrey C. MageeBoris V. ZemelmanSébastien RoyerGyörgy Buzsáki
- Topics
- Neural dynamics and brain function (18 papers)Advanced Memory and Neural Computing (12 papers)Visual perception and processing mechanisms (7 papers)
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Frances S. Chance
25 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Cognitive Neuroscience 2.0k
- Cellular and Molecular Neuroscience 1.5k
- Statistical and Nonlinear Physics 326
- Electrical and Electronic Engineering 306
- Molecular Biology 195
Countries citing papers authored by Frances S. Chance
This map shows the geographic impact of Frances S. Chance'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 Frances S. Chance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frances S. Chance more than expected).
Fields of papers citing papers by Frances S. Chance
This network shows the impact of papers produced by Frances S. Chance. 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 Frances S. Chance. The network helps show where Frances S. Chance may publish in the future.
Co-authorship network of co-authors of Frances S. Chance
This figure shows the co-authorship network connecting the top 25 collaborators of Frances S. Chance. A scholar is included among the top collaborators of Frances S. Chance 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 Frances S. Chance. Frances S. Chance is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | Control of timing, rate and bursts of hippocampal place cells by dendritic and somatic inhibitionbreakdown → | 484 |
| 12 | 31 | |
| 13 | 52 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 112 | |
| 17 | Gain Modulation from Background Synaptic Inputbreakdown → | 741 |
| 18 | 235 | |
| 19 | 154 | |
| 20 | 317 |
About Frances S. Chance
Frances S. Chance is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biophysics, having authored 28 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (18 papers), Advanced Memory and Neural Computing (12 papers) and Visual perception and processing mechanisms (7 papers). The work is most often cited by research in Cognitive Neuroscience (2.0k citations), Cellular and Molecular Neuroscience (1.5k citations) and Statistical and Nonlinear Physics (326 citations). Frances S. Chance has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include L. F. Abbott, Alex D. Reyes, Sacha B. Nelson, L. F. Abbott, Attila Losonczy, Jeffrey C. Magee, Boris V. Zemelman, Sébastien Royer, György Buzsáki and Jinhyun Kim. Their work appears in journals such as Physical Review Letters, Neuron and Journal of Neuroscience.
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.