Nathan E. Schoppa

3.6k total citations
34 papers, 2.8k citations indexed

About

Nathan E. Schoppa is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Nutrition and Dietetics. According to data from OpenAlex, Nathan E. Schoppa has authored 34 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 23 papers in Sensory Systems and 18 papers in Nutrition and Dietetics. Recurrent topics in Nathan E. Schoppa's work include Olfactory and Sensory Function Studies (23 papers), Biochemical Analysis and Sensing Techniques (18 papers) and Neurobiology and Insect Physiology Research (12 papers). Nathan E. Schoppa is often cited by papers focused on Olfactory and Sensory Function Studies (23 papers), Biochemical Analysis and Sensing Techniques (18 papers) and Neurobiology and Insect Physiology Research (12 papers). Nathan E. Schoppa collaborates with scholars based in United States, Canada and Hungary. Nathan E. Schoppa's co-authors include Gary L. Westbrook, Fred J. Sigworth, David H. Gire, Ken McCormack, Mark A. Tanouye, Nathaniel N. Urban, Yoshinori Sahara, Thomas P. Segerson, J. Mark Kinzie and Victor M. Luna and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Nathan E. Schoppa

33 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan E. Schoppa United States 22 2.0k 1.5k 1.1k 738 498 34 2.8k
Vincent E. Dionne United States 25 1.6k 0.8× 669 0.4× 1.3k 1.1× 457 0.6× 162 0.3× 43 2.3k
Minghong Ma United States 32 1.6k 0.8× 1.8k 1.2× 362 0.3× 1.2k 1.6× 40 0.1× 71 2.7k
Xiaoke Chen United States 19 748 0.4× 702 0.5× 591 0.5× 719 1.0× 33 0.1× 37 2.3k
Claire Martin France 21 816 0.4× 865 0.6× 289 0.3× 277 0.4× 127 0.3× 41 1.8k
Harriet Baker United States 28 1.2k 0.6× 447 0.3× 926 0.8× 280 0.4× 197 0.4× 48 2.2k
Kristal R. Tucker United States 17 590 0.3× 619 0.4× 426 0.4× 513 0.7× 128 0.3× 23 1.4k
G. M. Shepherd United States 24 1.2k 0.6× 1.1k 0.7× 370 0.3× 576 0.8× 22 0.0× 33 1.8k
Conny Kopp‐Scheinpflug Germany 25 951 0.5× 972 0.6× 572 0.5× 126 0.2× 66 0.1× 45 2.2k
Mark H. Pausch United States 22 1.5k 0.7× 153 0.1× 1.7k 1.5× 130 0.2× 155 0.3× 28 2.9k
Jacopo Magistretti Italy 27 1.3k 0.7× 349 0.2× 852 0.7× 88 0.1× 95 0.2× 49 2.0k

Countries citing papers authored by Nathan E. Schoppa

Since Specialization
Citations

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

Fields of papers citing papers by Nathan E. Schoppa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan E. Schoppa

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan E. Schoppa. A scholar is included among the top collaborators of Nathan E. Schoppa 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 Nathan E. Schoppa. Nathan E. Schoppa 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
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Lin, Xue, et al.. (2023). Hyperexcitability in the Olfactory Bulb and Impaired Fine Odor Discrimination in the Fmr1 KO Mouse Model of Fragile X Syndrome. Journal of Neuroscience. 43(48). 8243–8258. 11 indexed citations
3.
4.
Zylberberg, Joel, et al.. (2020). Cellular and Synaptic Mechanisms That Differentiate Mitral Cells and Superficial Tufted Cells Into Parallel Output Channels in the Olfactory Bulb. Frontiers in Cellular Neuroscience. 14. 614377–614377. 8 indexed citations
5.
Gire, David H., Joseph D. Zak, Jennifer N. Bourne, Noah Goodson, & Nathan E. Schoppa. (2019). Balancing Extrasynaptic Excitation and Synaptic Inhibition within Olfactory Bulb Glomeruli. eNeuro. 6(4). ENEURO.0247–19.2019. 10 indexed citations
6.
Pouille, Frédéric & Nathan E. Schoppa. (2018). Cannabinoid Receptors Modulate Excitation of an Olfactory Bulb Local Circuit by Cortical Feedback. Frontiers in Cellular Neuroscience. 12. 47–47. 15 indexed citations
7.
Shen, Chong, Shailendra S. Rathore, Haijia Yu, et al.. (2015). The trans-SNARE-regulating function of Munc18-1 is essential to synaptic exocytosis. Nature Communications. 6(1). 8852–8852. 43 indexed citations
8.
Sheridan, David C., et al.. (2014). Matching of feedback inhibition with excitation ensures fidelity of information flow in the anterior piriform cortex. Neuroscience. 275. 519–530. 9 indexed citations
9.
Whitesell, Jennifer D., et al.. (2013). Interglomerular Lateral Inhibition Targeted on External Tufted Cells in the Olfactory Bulb. Journal of Neuroscience. 33(4). 1552–1563. 57 indexed citations
10.
Gire, David H., Kevin M. Franks, Joseph D. Zak, et al.. (2012). Mitral Cells in the Olfactory Bulb Are Mainly Excited through a Multistep Signaling Path. Journal of Neuroscience. 32(9). 2964–2975. 131 indexed citations
11.
Schoppa, Nathan E.. (2009). Making scents out of how olfactory neurons are ordered in space. Nature Neuroscience. 12(2). 103–104. 6 indexed citations
12.
Gire, David H. & Nathan E. Schoppa. (2009). Control of On/Off Glomerular Signaling by a Local GABAergic Microcircuit in the Olfactory Bulb. Journal of Neuroscience. 29(43). 13454–13464. 120 indexed citations
13.
Luna, Victor M. & Nathan E. Schoppa. (2008). GABAergic Circuits Control Input–Spike Coupling in the Piriform Cortex. Journal of Neuroscience. 28(35). 8851–8859. 81 indexed citations
14.
Gire, David H. & Nathan E. Schoppa. (2008). Long-Term Enhancement of Synchronized Oscillations by Adrenergic Receptor Activation in the Olfactory Bulb. Journal of Neurophysiology. 99(4). 2021–2025. 54 indexed citations
15.
Schoppa, Nathan E.. (2006). AMPA/Kainate Receptors Drive Rapid Output and Precise Synchrony in Olfactory Bulb Granule Cells. Journal of Neuroscience. 26(50). 12996–13006. 48 indexed citations
16.
Schoppa, Nathan E. & Nathaniel N. Urban. (2003). Dendritic processing within olfactory bulb circuits. Trends in Neurosciences. 26(9). 501–506. 168 indexed citations
17.
Schoppa, Nathan E. & Gary L. Westbrook. (2002). AMPA autoreceptors drive correlated spiking in olfactory bulb glomeruli. Nature Neuroscience. 5(11). 1194–1202. 139 indexed citations
18.
Schoppa, Nathan E. & Gary L. Westbrook. (2001). Glomerulus-Specific Synchronization of Mitral Cells in the Olfactory Bulb. Neuron. 31(4). 639–651. 201 indexed citations
19.
Schoppa, Nathan E. & Gary L. Westbrook. (1999). Regulation of synaptic timing in the olfactory bulb by an A-type potassium current. Nature Neuroscience. 2(12). 1106–1113. 168 indexed citations
20.
Schoppa, Nathan E., Stephen R. Shorofsky, Flora Jow, & Deborah J. Nelson. (1989). Voltage-gated chloride currents in cultured canine tracheal epithelial cells. The Journal of Membrane Biology. 108(1). 73–90. 33 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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