David J. Schulz

4.5k total citations
73 papers, 3.2k citations indexed

About

David J. Schulz is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David J. Schulz has authored 73 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cellular and Molecular Neuroscience, 21 papers in Molecular Biology and 17 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David J. Schulz's work include Neurobiology and Insect Physiology Research (26 papers), Insect and Arachnid Ecology and Behavior (14 papers) and Insect and Pesticide Research (13 papers). David J. Schulz is often cited by papers focused on Neurobiology and Insect Physiology Research (26 papers), Insect and Arachnid Ecology and Behavior (14 papers) and Insect and Pesticide Research (13 papers). David J. Schulz collaborates with scholars based in United States, Czechia and United Kingdom. David J. Schulz's co-authors include Gene E. Robinson, Eve Marder, Jean‐Marc Goaillard, Adam L. Taylor, Andrew B. Barron, Zhi Huang, Dirk Bucher, Simone Temporal, Satish S. Nair and Joseph L. Ransdell and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

David J. Schulz

70 papers receiving 3.2k 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 J. Schulz United States 31 1.8k 1.2k 1.0k 1.0k 847 73 3.2k
Roland Strauß Germany 27 2.6k 1.5× 1.2k 1.0× 943 0.9× 371 0.4× 364 0.4× 66 3.5k
Allan M. Wong United States 26 4.3k 2.4× 1.8k 1.5× 1.3k 1.2× 941 0.9× 571 0.7× 33 5.5k
M Eugenia Chiappe Portugal 13 2.5k 1.4× 873 0.7× 568 0.5× 600 0.6× 570 0.7× 19 3.4k
R. Meldrum Robertson Canada 38 2.4k 1.3× 804 0.7× 869 0.8× 397 0.4× 658 0.8× 152 4.0k
Gregory S.X.E. Jefferis United Kingdom 36 4.4k 2.4× 2.1k 1.8× 1.5k 1.4× 1.0k 1.0× 381 0.4× 64 5.4k
Ann‐Shyn Chiang Taiwan 36 3.1k 1.7× 1.4k 1.2× 836 0.8× 612 0.6× 356 0.4× 115 5.2k
Mark Stopfer United States 28 2.8k 1.5× 730 0.6× 739 0.7× 691 0.7× 1.1k 1.3× 69 3.6k
Marta Zlatic United States 26 1.9k 1.0× 740 0.6× 466 0.4× 207 0.2× 399 0.5× 38 2.5k
Andreas S. Thum Germany 29 1.9k 1.1× 863 0.7× 551 0.5× 511 0.5× 201 0.2× 62 2.3k
Aike Guo China 28 1.4k 0.8× 643 0.5× 524 0.5× 322 0.3× 336 0.4× 81 1.9k

Countries citing papers authored by David J. Schulz

Since Specialization
Citations

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

Fields of papers citing papers by David J. Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Schulz

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Schulz. A scholar is included among the top collaborators of David J. Schulz 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 J. Schulz. David J. Schulz 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.
Temporal, Simone, et al.. (2024). Distinct Strategies Regulate Correlated Ion Channel mRNAs and Ionic Currents in Continually versus Episodically Active Neurons. eNeuro. 11(11). ENEURO.0320–24.2024. 1 indexed citations
2.
Sajobi, Tolulope T., Lisa M. Lix, Lara B. Russell, et al.. (2022). Accuracy of mixture item response theory models for identifying sample heterogeneity in patient-reported outcomes: a simulation study. Quality of Life Research. 31(12). 3423–3432.
3.
Schulz, David J.. (2020). Die Natur der Geschichte.
4.
Martínez, Diana, Joseph M. Santin, David J. Schulz, & Farzan Nadim. (2019). The differential contribution of pacemaker neurons to synaptic transmission in the pyloric network of the Jonah crab, Cancer borealis. Journal of Neurophysiology. 122(4). 1623–1633. 6 indexed citations
5.
Otopalik, Adriane G., H. Harris, Joseph M. Santin, et al.. (2019). Molecular profiling of single neurons of known identity in two ganglia from the crab Cancer borealis. Proceedings of the National Academy of Sciences. 116(52). 26980–26990. 24 indexed citations
6.
7.
Schulz, David J., et al.. (2016). Homeostatic plasticity of excitability in crustacean central pattern generator networks. Current Opinion in Neurobiology. 43. 7–14. 17 indexed citations
8.
9.
Temporal, Simone, et al.. (2014). Activity-Dependent Feedback Regulates Correlated Ion Channel mRNA Levels in Single Identified Motor Neurons. Current Biology. 24(16). 1899–1904. 58 indexed citations
10.
Villalón, Eric, David J. Schulz, & Samuel T. Waters. (2013). Real-Time PCR Quantification of Gene Expression in Embryonic Mouse Tissue. Methods in molecular biology. 1092. 81–94. 2 indexed citations
11.
Barry, Devin M., William Stevenson, Jonathan D. Strope, et al.. (2012). Expansion of Neurofilament Medium C Terminus Increases Axonal Diameter Independent of Increases in Conduction Velocity or Myelin Thickness. Journal of Neuroscience. 32(18). 6209–6219. 48 indexed citations
12.
Baker, Olga J., David J. Schulz, Jean M. Camden, et al.. (2010). Rat Parotid Gland Cell Differentiation in Three-Dimensional Culture. Tissue Engineering Part C Methods. 16(5). 1135–1144. 30 indexed citations
13.
Ransdell, Joseph L., T.B. Faust, & David J. Schulz. (2010). Correlated Levels of mRNA and Soma Size in Single Identified Neurons: Evidence for Compartment-specific Regulation of Gene Expression. Frontiers in Molecular Neuroscience. 3. 116–116. 11 indexed citations
14.
Schulz, David J., Simone Temporal, Devin M. Barry, & María L. García. (2008). Mechanisms of voltage-gated ion channel regulation: from gene expression to localization. Cellular and Molecular Life Sciences. 65(14). 2215–2231. 37 indexed citations
15.
Schulz, David J., Jean‐Marc Goaillard, & Eve Marder. (2007). Quantitative expression profiling of identified neurons reveals cell-specific constraints on highly variable levels of gene expression. Proceedings of the National Academy of Sciences. 104(32). 13187–13191. 210 indexed citations
16.
Schulz, David J., Jean‐Marc Goaillard, & Eve Marder. (2006). Variable channel expression in identified single and electrically coupled neurons in different animals. Nature Neuroscience. 9(3). 356–362. 320 indexed citations
17.
Goaillard, Jean‐Marc, David J. Schulz, Valerie L. Kilman, & Eve Marder. (2004). Octopamine Modulates the Axons of Modulatory Projection Neurons. Journal of Neuroscience. 24(32). 7063–7073. 39 indexed citations
18.
Barron, Andrew B., David J. Schulz, & Gene E. Robinson. (2002). Octopamine modulates responsiveness to foraging-related stimuli in honey bees ( Apis mellifera ). Journal of Comparative Physiology A. 188(8). 603–610. 103 indexed citations
19.
Schulz, David J., et al.. (2002). Effects of colony food shortage on social interactions in honey bee colonies. Insectes Sociaux. 49(1). 50–55. 36 indexed citations
20.
Schulz, David J. & Gene E. Robinson. (1999). Biogenic amines and division of labor in honey bee colonies: behaviorally related changes in the antennal lobes and age-related changes in the mushroom bodies. Journal of Comparative Physiology A. 184(5). 481–488. 174 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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