David L. Deitcher

5.1k total citations · 1 hit paper
56 papers, 4.0k citations indexed

About

David L. Deitcher is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, David L. Deitcher has authored 56 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cellular and Molecular Neuroscience, 32 papers in Molecular Biology and 24 papers in Cell Biology. Recurrent topics in David L. Deitcher's work include Neurobiology and Insect Physiology Research (23 papers), Cellular transport and secretion (23 papers) and Lipid Membrane Structure and Behavior (14 papers). David L. Deitcher is often cited by papers focused on Neurobiology and Insect Physiology Research (23 papers), Cellular transport and secretion (23 papers) and Lipid Membrane Structure and Behavior (14 papers). David L. Deitcher collaborates with scholars based in United States, Japan and Canada. David L. Deitcher's co-authors include Keith E. Mostov, Andrew H. Bass, Paul M. Forlano, Constance L. Cepko, Christopher A. Walsh, Erika Hartwieg, Evan Y. Snyder, Edwin S. Levitan, Robert W. Burgess and Thomas L. Schwarz and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

David L. Deitcher

56 papers receiving 4.0k citations

Hit Papers

Multipotent neural cell lines can engraft and participate... 1992 2026 2003 2014 1992 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David L. Deitcher United States 30 2.1k 1.7k 1.0k 577 495 56 4.0k
Ramón Anadón Spain 37 2.2k 1.1× 2.1k 1.3× 1.9k 1.9× 776 1.3× 200 0.4× 231 5.1k
Jan van Minnen Netherlands 41 2.5k 1.2× 2.7k 1.6× 480 0.5× 477 0.8× 248 0.5× 124 5.5k
Douglas O. Clary United States 28 2.6k 1.2× 1.0k 0.6× 786 0.8× 340 0.6× 868 1.8× 40 4.6k
Yoshihiro Yoshihara Japan 50 2.2k 1.1× 4.5k 2.7× 1.1k 1.1× 629 1.1× 486 1.0× 138 8.1k
Michael J. Bastiani United States 29 2.1k 1.0× 2.1k 1.2× 746 0.7× 430 0.7× 376 0.8× 43 4.0k
Su Guo United States 47 4.6k 2.2× 1.1k 0.7× 3.1k 3.0× 444 0.8× 477 1.0× 134 8.0k
Erika Hartwieg United States 19 2.7k 1.3× 1.3k 0.8× 1.2k 1.1× 504 0.9× 331 0.7× 25 5.5k
Richard I. Hume United States 31 2.8k 1.3× 2.7k 1.6× 629 0.6× 705 1.2× 241 0.5× 70 5.1k
John Y. Kuwada United States 36 2.8k 1.3× 2.1k 1.2× 2.0k 2.0× 915 1.6× 311 0.6× 77 4.5k
Marnie E. Halpern United States 43 5.5k 2.7× 998 0.6× 2.4k 2.3× 414 0.7× 1.3k 2.6× 76 7.8k

Countries citing papers authored by David L. Deitcher

Since Specialization
Citations

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

Fields of papers citing papers by David L. Deitcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David L. Deitcher

This figure shows the co-authorship network connecting the top 25 collaborators of David L. Deitcher. A scholar is included among the top collaborators of David L. Deitcher 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 L. Deitcher. David L. Deitcher 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.
Schmidt, Brigitte F., et al.. (2023). Ca2+ and cAMP open differentially dilating synaptic fusion pores. Journal of Cell Science. 136(13). 2 indexed citations
2.
Deitcher, David L., et al.. (2016). Activity Induces Fmr1-Sensitive Synaptic Capture of Anterograde Circulating Neuropeptide Vesicles. Journal of Neuroscience. 36(46). 11781–11787. 18 indexed citations
3.
Rao, Kavitha S., Michelle C. Stone, Alexis T. Weiner, et al.. (2016). Spastin, atlastin, and ER relocalization are involved in axon but not dendrite regeneration. Molecular Biology of the Cell. 27(21). 3245–3256. 51 indexed citations
4.
Zhou, Chaoming, et al.. (2014). Vesicle capture, not delivery, scales up neuropeptide storage in neuroendocrine terminals. Proceedings of the National Academy of Sciences. 111(9). 3597–3601. 22 indexed citations
5.
Deitcher, David L., et al.. (2014). Conserved role of Drosophila melanogaster FoxP in motor coordination and courtship song. Behavioural Brain Research. 268. 213–221. 21 indexed citations
6.
Wong, Man Yan, Chaoming Zhou, Dinara Shakiryanova, et al.. (2012). Neuropeptide Delivery to Synapses by Long-Range Vesicle Circulation and Sporadic Capture. Cell. 148(5). 1029–1038. 117 indexed citations
7.
Fergus, Daniel J., et al.. (2011). Evolution of ligand specificity in vertebrate corticosteroid receptors. BMC Evolutionary Biology. 11(1). 14–14. 48 indexed citations
8.
Shakiryanova, Dinara, Takako Morimoto, Chaoming Zhou, et al.. (2011). Differential Control of Presynaptic CaMKII Activation and Translocation to Active Zones. Journal of Neuroscience. 31(25). 9093–9100. 30 indexed citations
9.
Deitcher, David L., et al.. (2010). The essential role of bursicon during Drosophiladevelopment. BMC Developmental Biology. 10(1). 92–92. 54 indexed citations
10.
11.
Deitcher, David L., et al.. (2009). Corticosteroid receptor expression in a teleost fish that displays alternative male reproductive tactics. General and Comparative Endocrinology. 165(1). 83–90. 34 indexed citations
12.
Lin, David, et al.. (2007). Characterization of mRNA Expression in Single Neurons. Methods in molecular biology. 399. 133–152. 14 indexed citations
13.
Sturman, David A., Dinara Shakiryanova, Randall S. Hewes, David L. Deitcher, & Edwin S. Levitan. (2006). Nearly Neutral Secretory Vesicles in Drosophila Nerve Terminals. Biophysical Journal. 90(6). L45–L47. 17 indexed citations
14.
Deitcher, David L.. (2002). Exocytosis, endocytosis, and development. Seminars in Cell and Developmental Biology. 13(2). 71–76. 9 indexed citations
15.
Watson, Brendon O., Ilya Vilinsky, & David L. Deitcher. (2001). Generation of a Semi-Dominant Mutation with Temperature Sensitive Effects on Both Locomotion and Phototransduction inDrosophila Melanogaster. Journal of Neurogenetics. 15(2). 75–95. 4 indexed citations
16.
Deitcher, David L.. (2001). Shibire's enhancer is cancer's suppressor. Trends in Neurosciences. 24(11). 625–626. 6 indexed citations
17.
Risinger, Carl, David L. Deitcher, Ingrid Lundell, Thomas L. Schwarz, & Dan Larhammar. (1997). Complex gene organization of synaptic protein SNAP-25 in Drosophila melanogaster. Gene. 194(2). 169–177. 23 indexed citations
18.
Parfitt, Karen D., Noreen E. Reist, Jingtao Li, et al.. (1995). Drosophila Genetics and the Functions of Synaptic Proteins. Cold Spring Harbor Symposia on Quantitative Biology. 60(0). 371–377. 16 indexed citations
19.
Sucher, Nikolaus J. & David L. Deitcher. (1995). PCR and patch-clamp analysis of single neurons. Neuron. 14(6). 1095–1100. 64 indexed citations
20.
Snyder, Evan Y., et al.. (1992). Multipotent neural cell lines can engraft and participate in development of mouse cerebellum. Cell. 68(1). 33–51. 729 indexed citations breakdown →

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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