David J. Schulz

4.6k citations
80 papers · 3.5k · h-index 30

Impact in

Papers in

David J. Schulz

72 papers receiving 3.4k citations

Peers

David J. Schulz
Comparison fields: 5 of 124
  • Cellular and Molecular Neuroscience 1.9k
  • Insect Science 1.1k
  • Ecology, Evolution, Behavior and Systematics 1.1k
  • Genetics 1.3k
  • Cognitive Neuroscience 875
Replace Makoto Mizunami with:
Makoto Mizunami Japan
Philipp M. Schlegel United States
R. Meldrum Robertson Canada
Marta Costa United Kingdom
Andreas S. Thum Germany
Carsten Duch Germany
Pierre-Yves Plaçais France
Mikko Juusola United Kingdom
Marta Zlatic United States
David J. Schulz relative to Makoto Mizunami Japan Makoto Mizunami's profile →
Citations per field
00.5×2×3.2×
Makoto Mizunami · 1×
Citations per year

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-authors

The 25 scholars most cited alongside David J. Schulz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David J. Schulz Line = papers co-authored together David J. Schulz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006338
2 2005233
3 2007222
4 1998202
5 2009197
6 1999188
7 2001176
8 1999165
9 2002122
10 2002117
11 2002109
12 201178
13 200978
14 201578
15 200169
16 201669
17 200666
18 201459
19 201251
20 200249

About David J. Schulz

David J. Schulz is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Cognitive Neuroscience, Insect Science and Genetics, having authored 80 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (26 papers), Ion channel regulation and function (13 papers), Insect and Arachnid Ecology and Behavior (13 papers), Neural dynamics and brain function (13 papers), Insect and Pesticide Research (12 papers), Plant and animal studies (12 papers), Physiological and biochemical adaptations (10 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Insect Science (1.1k citations), Ecology, Evolution, Behavior and Systematics (1.1k citations), Genetics (1.3k citations) and Cognitive Neuroscience (875 citations). David J. Schulz has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include GENE E. ROBINSON, Eve E. Marder, Jean‐Marc Goaillard, Adam L. Taylor, Andrew B. Barron, Dirk M. Bucher, Simone Temporal, Satish Sasidharan Nair, Joseph L. Ransdell and Joseph P. Sullivan. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Journal of Comparative Physiology A, eLife and Neuroscience.

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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