Rachel E. Field

602 citations
3 papers · 300 · h-index 3

Impact in

    • Neural dynamics and brain function
    • Memory and Neural Mechanisms
    • Neuroscience and Music Perception
    • Neuroscience and Neuropharmacology Research
    • Photoreceptor and optogenetics research
    • Neuroscience and Neural Engineering

Papers in

Rachel E. Field

3 papers receiving 299 citations

Peers

Rachel E. Field
Comparison fields: 5 of 47
  • Cognitive Neuroscience 242
  • Cellular and Molecular Neuroscience 182
  • Developmental Biology 14
  • Sensory Systems 29
  • Computational Mathematics 3
Replace Jonathan V. Gill with:
Jonathan V. Gill United States
Hiroki Asari Italy
Elizabeth A.K. Phillips United States
Max Schiff United States
Eleni S. Papadoyannis United States
Alexandra K. Moore United States
Dmitry R. Lyamzin Germany
Takahiro Noda Japan
Weiguo Yang United States
Nicholas M. Dotson United States
Rachel E. Field relative to Jonathan V. Gill United States Jonathan V. Gill's profile →
Citations per field
00.5×1.5×
Jonathan V. Gill · 1×
Citations per year

Countries citing papers authored by Rachel E. Field

Since Specialization
Citations

This map shows the geographic impact of Rachel E. Field'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 Rachel E. Field with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel E. Field more than expected).

Fields of papers citing papers by Rachel E. Field

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel E. Field. 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 Rachel E. Field. The network helps show where Rachel E. Field may publish in the future.

Co-authors

The 17 scholars most cited alongside Rachel E. Field, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rachel E. Field Line = papers co-authored together Rachel E. Field links everyone, so they are left out of the graph.

All Works

About Rachel E. Field

Rachel E. Field is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Infectious Diseases, having authored 3 papers that have together received 300 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Neuroscience and Neural Engineering (2 papers), Memory and Neural Mechanisms (1 paper), stochastic dynamics and bifurcation (1 paper), Advanced Memory and Neural Computing (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (242 citations), Cellular and Molecular Neuroscience (182 citations), Developmental Biology (14 citations), Sensory Systems (29 citations) and Computational Mathematics (3 citations). Rachel E. Field has collaborated with scholars based in United States and Germany. Frequent co-authors include Robert C. Froemke, Kishore V. Kuchibhotla, Eleni S. Papadoyannis, Jonathan V. Gill, Kenneth D. Miller, Grace W. Lindsay, Tom Hindmarsh Sten, Bernardo Rudy, Christoph Miehl and Julijana Gjorgjieva. Their work appears in journals such as eLife, Neuron and Nature 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.

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