Elizabeth C. Cropper

3.4k total citations
91 papers, 2.9k citations indexed

About

Elizabeth C. Cropper is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Elizabeth C. Cropper has authored 91 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Cellular and Molecular Neuroscience, 39 papers in Cognitive Neuroscience and 17 papers in Molecular Biology. Recurrent topics in Elizabeth C. Cropper's work include Neurobiology and Insect Physiology Research (64 papers), Neural dynamics and brain function (34 papers) and Photoreceptor and optogenetics research (16 papers). Elizabeth C. Cropper is often cited by papers focused on Neurobiology and Insect Physiology Research (64 papers), Neural dynamics and brain function (34 papers) and Photoreceptor and optogenetics research (16 papers). Elizabeth C. Cropper collaborates with scholars based in United States, China and Puerto Rico. Elizabeth C. Cropper's co-authors include Klaudiusz R. Weiss, Irving Kupfermann, Ferdinand S. Vilim, Jian Jing, Colin G. Evans, R Tenenbaum, Steven C. Rosen, Mark W. Miller, David A. Price and K. R. Weiss and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Elizabeth C. Cropper

88 papers receiving 2.8k citations

Peers

Elizabeth C. Cropper
György Kemenes United Kingdom
Ferdinand S. Vilim United States
Paul S. Katz United States
K. R. Weiss United States
Ronald L. Calabrese United States
Rhanor Gillette United States
Christopher Elliott United Kingdom
Harold M. Pinsker United States
György Kemenes United Kingdom
Elizabeth C. Cropper
Citations per year, relative to Elizabeth C. Cropper Elizabeth C. Cropper (= 1×) peers György Kemenes

Countries citing papers authored by Elizabeth C. Cropper

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth C. Cropper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth C. Cropper. 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 Elizabeth C. Cropper. The network helps show where Elizabeth C. Cropper may publish in the future.

Co-authorship network of co-authors of Elizabeth C. Cropper

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth C. Cropper. A scholar is included among the top collaborators of Elizabeth C. Cropper 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 Elizabeth C. Cropper. Elizabeth C. Cropper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Evans, Colin G., Michael A. Barry, Paras R. Patel, et al.. (2025). Convergent effects of peptides on the initiation of feeding motor programs in the mollusk Aplysia. Journal of Neurophysiology. 133(5). 1368–1379.
3.
Evans, Colin G., Michael A. Barry, Matthew H. Perkins, et al.. (2023). Variable task switching in the feeding network of Aplysia is a function of differential command input. Journal of Neurophysiology. 130(4). 941–952. 2 indexed citations
4.
Due, Michael R., et al.. (2022). Convergent effects of neuropeptides on the feeding central pattern generator of Aplysia californica. Journal of Neurophysiology. 127(6). 1445–1459. 7 indexed citations
5.
Zhang, Guo, Tingting Chen, Fan Yang, et al.. (2020). Synaptic mechanisms for motor variability in a feedforward network. Science Advances. 6(25). 17 indexed citations
6.
Weiss, Klaudiusz R., et al.. (2020). Background calcium induced by subthreshold depolarization modifies homosynaptic facilitation at a synapse in Aplysia. Scientific Reports. 10(1). 549–549. 4 indexed citations
7.
Perkins, Matthew H., Klaudiusz R. Weiss, & Elizabeth C. Cropper. (2019). Persistent effects of cyclic adenosine monophosphate are directly responsible for maintaining a neural network state. Scientific Reports. 9(1). 9058–9058. 6 indexed citations
8.
Zhang, Guo, Ferdinand S. Vilim, Elena V. Romanova, et al.. (2018). Newly Identified Aplysia SPTR-Gene Family-Derived Peptides: Localization and Function. ACS Chemical Neuroscience. 9(8). 2041–2053. 13 indexed citations
9.
Sasaki, Kosei, Elizabeth C. Cropper, Klaudiusz R. Weiss, & Jian Jing. (2013). Functional Differentiation of a Population of Electrically Coupled Heterogeneous Elements in a Microcircuit. Journal of Neuroscience. 33(1). 93–105. 23 indexed citations
10.
Vilim, Ferdinand S., Kosei Sasaki, Jürgen Rybak, et al.. (2010). Distinct Mechanisms Produce Functionally Complementary Actions of Neuropeptides That Are Structurally Related But Derived from Different Precursors. Journal of Neuroscience. 30(1). 131–147. 43 indexed citations
11.
Evans, Colin G., et al.. (2007). Mechanoafferent Neuron With An Inexcitable Somatic Region: Consequences for the Regulation of Spike Propagation and Afferent Transmission. Journal of Neurophysiology. 97(4). 3126–3130. 15 indexed citations
12.
Evans, Colin G., Adarli Romero, & Elizabeth C. Cropper. (2005). Inhibition of Afferent Transmission in the Feeding Circuitry of Aplysia: Persistence Can Be as Important as Size. Journal of Neurophysiology. 93(5). 2940–2949. 7 indexed citations
13.
Zhurov, Yuriy, et al.. (2005). Variability of Swallowing Performance in Intact, Freely FeedingAplysia. Journal of Neurophysiology. 94(4). 2427–2446. 32 indexed citations
14.
Cropper, Elizabeth C.. (2002). The A.W. Mellon lectures in the fine arts : fifty years. 4 indexed citations
15.
Evans, Colin G. & Elizabeth C. Cropper. (1998). Proprioceptive Input to Feeding Motor Programs inAplysia. Journal of Neuroscience. 18(19). 8016–8031. 53 indexed citations
16.
Vilim, Ferdinand S., Elizabeth C. Cropper, Steven C. Rosen, et al.. (1994). Structure, localization, and action of buccalin B: A bioactive peptide from Aplysia. Peptides. 15(6). 959–969. 32 indexed citations
17.
Weiss, Klaudiusz R., Vladimír Březina, Elizabeth C. Cropper, et al.. (1993). Physiology and biochemistry of peptidergic cotransmission in Aplysia. Journal of Physiology-Paris. 87(3). 141–151. 46 indexed citations
18.
Cropper, Elizabeth C., Ferdinand S. Vilim, A. Alevizos, et al.. (1991). Structure, bioactivity, and cellular localization of myomodulin B: A novel Aplysia peptide. Peptides. 12(4). 683–690. 47 indexed citations
19.
Cropper, Elizabeth C., Mark W. Miller, Ferdinand S. Vilim, et al.. (1990). Buccalin is present in the cholinergic motor neuron B16 ofAplysia and it depresses accessory radula closer muscle contractions evoked by stimulation of B16. Brain Research. 512(1). 175–179. 50 indexed citations
20.
Cropper, Elizabeth C., Irving Kupfermann, & Klaudiusz R. Weiss. (1990). Differential firing patterns of the peptide-containing cholinergic motor neurons B15 and B16 during feeding behavior inAplysia. Brain Research. 522(1). 176–179. 82 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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