David J. Speca
Impact in
- Sensory Systems top 2%
- Olfactory and Sensory Function Studies
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- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
Papers in
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- Neuroscience and Neuropharmacology Research 7
- Photoreceptor and optogenetics research 3
- Neurobiology and Insect Physiology Research 2
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- Receptor Mechanisms and Signaling 3
- Ion channel regulation and function 2
- Retinal Development and Disorders 2
- Co-authors
- Peter W. Sorensen (1 shared paper)Ehud Y. Isacoff (1 shared paper)John Ngai (1 shared paper)David Lin (1 shared paper)Andrew H. Dittman (1 shared paper)Johannes Hell (3 shared papers)James S. Trimmer (3 shared papers)Lucas Matt (3 shared papers)
- Journals
- Genes Brain & Behavior (2 papers)Genetics Research (1 paper)PLoS Genetics (1 paper)Cell Reports (1 paper)The Journal of General Physiology (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
David J. Speca
12 papers receiving 487 citations
Peers
Comparison fields: 5 of 60
- Sensory Systems 160
- Cellular and Molecular Neuroscience 319
- Aging 17
- Nutrition and Dietetics 138
- Endocrine and Autonomic Systems 24
Countries citing papers authored by David J. Speca
This map shows the geographic impact of David J. Speca'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. Speca 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. Speca more than expected).
Fields of papers citing papers by David J. Speca
This network shows the impact of papers produced by David J. Speca. 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. Speca. The network helps show where David J. Speca may publish in the future.
Co-authors
The 25 scholars most cited alongside David J. Speca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 186 | |
| 2 | 2014 | 92 | |
| 3 | 2015 | 66 | |
| 4 | 2018 | 44 | |
| 5 | 2010 | 39 | |
| 6 | 2016 | 26 | |
| 7 | 2005 | 18 | |
| 8 | 2004 | 9 | |
| 9 | 2020 | 5 | |
| 10 | 2017 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 1 |
About David J. Speca
David J. Speca is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics and Endocrine and Autonomic Systems, having authored 12 papers that have together received 489 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Receptor Mechanisms and Signaling (3 papers), Photoreceptor and optogenetics research (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Ion channel regulation and function (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Retinal Development and Disorders (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Sensory Systems (160 citations), Cellular and Molecular Neuroscience (319 citations), Aging (17 citations), Nutrition and Dietetics (138 citations) and Endocrine and Autonomic Systems (24 citations). David J. Speca has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Peter W. Sorensen, Ehud Y. Isacoff, John Ngai, David Lin, Andrew H. Dittman, Johannes Hell, James S. Trimmer, Lucas Matt, Jon T. Sack and Elva Dı́az. Their work appears in journals such as Genes Brain & Behavior, Genetics Research, PLoS Genetics, Cell Reports and The Journal of General Physiology.
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.