David Levitan

1.2k total citations
28 papers, 648 citations indexed

About

David Levitan is a scholar working on Astronomy and Astrophysics, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, David Levitan has authored 28 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Astronomy and Astrophysics, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in David Levitan's work include Gamma-ray bursts and supernovae (11 papers), Stellar, planetary, and galactic studies (10 papers) and Astrophysics and Star Formation Studies (7 papers). David Levitan is often cited by papers focused on Gamma-ray bursts and supernovae (11 papers), Stellar, planetary, and galactic studies (10 papers) and Astrophysics and Star Formation Studies (7 papers). David Levitan collaborates with scholars based in United States, Israel and Netherlands. David Levitan's co-authors include Abraham J. Susswein, Russ R. Laher, Leonid Visochek, Ayelet Katzoff, Malka Cohen‐Armon, James H. Schwartz, J. Surace, Branimir Sesar, S. R. Kulkarni and P. Groot and has published in prestigious journals such as Science, Journal of Neuroscience and The Astrophysical Journal.

In The Last Decade

David Levitan

28 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Levitan United States 15 301 153 138 91 89 28 648
Christopher Cain United States 13 117 0.4× 43 0.3× 148 1.1× 15 0.2× 54 0.6× 27 831
Silvia Tommasin Italy 17 192 0.6× 92 0.6× 44 0.3× 178 2.0× 30 0.3× 43 785
Robert K. McMahan United States 12 228 0.8× 208 1.4× 85 0.6× 270 3.0× 22 0.2× 20 757
R. V. Smith United States 15 191 0.6× 74 0.5× 279 2.0× 103 1.1× 17 0.2× 30 879
John D. Whittard United States 11 78 0.3× 188 1.2× 176 1.3× 45 0.5× 2 0.0× 12 613
Jeroen Van Genechten Belgium 9 52 0.2× 47 0.3× 112 0.8× 16 0.2× 14 0.2× 10 395
Giovanni Diana Italy 21 20 0.1× 402 2.6× 348 2.5× 254 2.8× 164 1.8× 43 1.2k
A. Kamble United States 15 422 1.4× 47 0.3× 124 0.9× 3 0.0× 225 2.5× 33 630
Szymon Łęski Poland 17 24 0.1× 513 3.4× 137 1.0× 527 5.8× 31 0.3× 33 859
Christopher Marsden United Kingdom 9 150 0.5× 100 0.7× 85 0.6× 20 0.2× 26 0.3× 15 377

Countries citing papers authored by David Levitan

Since Specialization
Citations

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

Fields of papers citing papers by David Levitan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Levitan

This figure shows the co-authorship network connecting the top 25 collaborators of David Levitan. A scholar is included among the top collaborators of David Levitan 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 David Levitan. David Levitan 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.
Levitan, David, Yasuyuki Shima, Jian-You Lin, et al.. (2020). Deletion of Stk11 and Fos in mouse BLA projection neurons alters intrinsic excitability and impairs formation of long-term aversive memory. eLife. 9. 6 indexed citations
2.
Levitan, David, et al.. (2019). Single and population coding of taste in the gustatory cortex of awake mice. Journal of Neurophysiology. 122(4). 1342–1356. 42 indexed citations
3.
Flores, Veronica L., et al.. (2018). The role of the gustatory cortex in incidental experience-evoked enhancement of later taste learning. Learning & Memory. 25(11). 587–600. 7 indexed citations
4.
Kupfer, Thomas, H. Drechsel, U. Heber, et al.. (2018). Spectroscopic and Photometric Analysis of the HW Vir Star PTF1 J011339.09+225739.1. Open Astronomy. 27(1). 80–90. 6 indexed citations
5.
Chang, Chan-Kao, Hsing Wen Lin, W.-H. Ip, et al.. (2017). Asteroid spin-rate studies using large sky-field surveys. Geoscience Letters. 4(1). 5 indexed citations
6.
Levitan, David, et al.. (2016). Memory Retrieval Has a Dynamic Influence on the Maintenance Mechanisms That Are Sensitive to ζ-Inhibitory Peptide (ZIP). Journal of Neuroscience. 36(41). 10654–10662. 11 indexed citations
7.
Mooley, K. P., Gregg Hallinan, S. Bourke, et al.. (2016). THE CALTECH-NRAO STRIPE 82 SURVEY (CNSS) PAPER. I. THE PILOT RADIO TRANSIENT SURVEY IN 50 DEG2. The Astrophysical Journal. 818(2). 105–105. 65 indexed citations
8.
Levitan, David, Shunit Gal-Ben-Ari, Christopher E. Heise, et al.. (2016). The differential role of cortical protein synthesis in taste memory formation and persistence. npj Science of Learning. 1(1). 16001–16001. 14 indexed citations
9.
10.
Kao, Wil, D. L. Kaplan, Thomas A. Prince, et al.. (2016). Photometric variability of candidate white dwarf binary systems from Palomar Transient Factory archival data. Monthly Notices of the Royal Astronomical Society. 461(3). 2747–2761. 5 indexed citations
11.
Covey, Kevin R., Marcel A. Agüeros, Nicholas M. Law, et al.. (2016). WHY ARE RAPIDLY ROTATING M DWARFS IN THE PLEIADES SO (INFRA)RED? NEW PERIOD MEASUREMENTS CONFIRM ROTATION-DEPENDENT COLOR OFFSETS FROM THE CLUSTER SEQUENCE. The Astrophysical Journal. 822(2). 81–81. 27 indexed citations
12.
Levitan, David, et al.. (2015). A new HW Vir binary from the Palomar Transient Factory. Astronomy and Astrophysics. 580. A117–A117. 8 indexed citations
13.
Levitan, David, U. Heber, H. Drechsel, et al.. (2015). A new HW Vir binary from the Palomar Transient Factory: PTF1 J072455.75+125300.3 - An eclipsing subdwarf B binary with a M-star companion. arXiv (Cornell University). 580. 5 indexed citations
14.
Hovatta, T., V. Pavlidou, O. G. King, et al.. (2014). Connection between optical and γ-ray variability in blazars. Monthly Notices of the Royal Astronomical Society. 439(1). 690–702. 41 indexed citations
15.
Gal-Ben-Ari, Shunit, Justin W. Kenney, Orit David, et al.. (2012). Consolidation and translation regulation: Figure 1.. Learning & Memory. 19(9). 410–422. 70 indexed citations
16.
17.
Carter, Philip J., T. R. Marsh, D. Steeghs, et al.. (2012). A search for the hidden population of AM CVn binaries in the Sloan Digital Sky Survey. Monthly Notices of the Royal Astronomical Society. 429(3). 2143–2160. 40 indexed citations
18.
Levitan, David, et al.. (2010). A brief retraining regulates the persistence and lability of a long-term memory. Learning & Memory. 17(8). 402–406. 14 indexed citations
19.
Levitan, David, et al.. (2010). Surgical management of gastric varices and morbid obesity: a novel approach. Surgery for Obesity and Related Diseases. 6(4). 448–450. 2 indexed citations
20.
Levitan, David, Lisa C. Lyons, Alexander Perelman, et al.. (2008). Training with inedible food in Aplysia causes expression of C/EBP in the buccal but not cerebral ganglion. Learning & Memory. 15(6). 412–416. 20 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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