Jennifer Beshel

1.2k total citations
10 papers, 811 citations indexed

About

Jennifer Beshel is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Biomedical Engineering. According to data from OpenAlex, Jennifer Beshel has authored 10 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 6 papers in Sensory Systems and 4 papers in Biomedical Engineering. Recurrent topics in Jennifer Beshel's work include Neurobiology and Insect Physiology Research (9 papers), Olfactory and Sensory Function Studies (6 papers) and Advanced Chemical Sensor Technologies (4 papers). Jennifer Beshel is often cited by papers focused on Neurobiology and Insect Physiology Research (9 papers), Olfactory and Sensory Function Studies (6 papers) and Advanced Chemical Sensor Technologies (4 papers). Jennifer Beshel collaborates with scholars based in United States, France and Germany. Jennifer Beshel's co-authors include Leslie M. Kay, Claire Martin, Nancy Kopell, Yi Zhong, Daniel Rojas‐Líbano, Josh Dubnau, Silke Sachse, Daniel J. Cavanaugh, Lei Bai and Akira Mamiya and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Jennifer Beshel

10 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Beshel United States 10 527 454 334 182 128 10 811
David H. Gire United States 14 775 1.5× 841 1.9× 294 0.9× 276 1.5× 334 2.6× 25 1.2k
Yueqing Peng United States 13 610 1.2× 416 0.9× 275 0.8× 160 0.9× 357 2.8× 25 1.2k
Nicolás Pírez United States 10 550 1.0× 333 0.7× 101 0.3× 124 0.7× 144 1.1× 15 670
Cindy Poo United States 7 712 1.4× 709 1.6× 355 1.1× 261 1.4× 284 2.2× 7 966
Dara L. Sosulski United States 5 522 1.0× 496 1.1× 282 0.8× 170 0.9× 228 1.8× 5 790
Max L. Fletcher United States 17 551 1.0× 744 1.6× 238 0.7× 233 1.3× 356 2.8× 27 936
Katrina M. MacLeod United States 13 795 1.5× 328 0.7× 556 1.7× 50 0.3× 55 0.4× 25 1.1k
John P. McGann United States 20 825 1.6× 824 1.8× 321 1.0× 252 1.4× 454 3.5× 27 1.3k
Hartwig Spors Germany 11 1.1k 2.1× 886 2.0× 532 1.6× 379 2.1× 326 2.5× 18 1.5k
Xavier Grosmaître France 16 676 1.3× 797 1.8× 101 0.3× 234 1.3× 553 4.3× 29 1.1k

Countries citing papers authored by Jennifer Beshel

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Beshel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Beshel. 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 Jennifer Beshel. The network helps show where Jennifer Beshel may publish in the future.

Co-authorship network of co-authors of Jennifer Beshel

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

All Works

10 of 10 papers shown
1.
Bai, Lei, et al.. (2019). A circadian output center controlling feeding:fasting rhythms in Drosophila. PLoS Genetics. 15(11). e1008478–e1008478. 41 indexed citations
2.
Beshel, Jennifer, Josh Dubnau, & Yi Zhong. (2017). A Leptin Analog Locally Produced in the Brain Acts via a Conserved Neural Circuit to Modulate Obesity-Linked Behaviors in Drosophila. Cell Metabolism. 25(1). 208–217. 51 indexed citations
3.
Sachse, Silke & Jennifer Beshel. (2016). The good, the bad, and the hungry: how the central brain codes odor valence to facilitate food approach in Drosophila. Current Opinion in Neurobiology. 40. 53–58. 27 indexed citations
4.
Beshel, Jennifer & Yi Zhong. (2013). Graded Encoding of Food Odor Value in theDrosophilaBrain. Journal of Neuroscience. 33(40). 15693–15704. 55 indexed citations
5.
Kay, Leslie M. & Jennifer Beshel. (2010). A Beta Oscillation Network in the Rat Olfactory System During a 2-Alternative Choice Odor Discrimination Task. Journal of Neurophysiology. 104(2). 829–839. 78 indexed citations
6.
Kay, Leslie M., et al.. (2009). Olfactory oscillations: the what, how and what for. Trends in Neurosciences. 32(4). 207–214. 229 indexed citations
7.
Mamiya, Akira, et al.. (2008). Neural Representations of Airflow in Drosophila Mushroom Body. PLoS ONE. 3(12). e4063–e4063. 10 indexed citations
8.
Beshel, Jennifer, Nancy Kopell, & Leslie M. Kay. (2007). Olfactory Bulb Gamma Oscillations Are Enhanced with Task Demands. Journal of Neuroscience. 27(31). 8358–8365. 155 indexed citations
9.
Martin, Claire, Jennifer Beshel, & Leslie M. Kay. (2007). An Olfacto-Hippocampal Network Is Dynamically Involved in Odor-Discrimination Learning. Journal of Neurophysiology. 98(4). 2196–2205. 149 indexed citations
10.
Kay, Leslie M., Jennifer Beshel, & Claire Martin. (2006). When Good Enough Is Best. Neuron. 51(3). 277–278. 16 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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