Gregory D. Marquart

721 citations
9 papers · 416 · h-index 9

Impact in

  • Cell Biology top 10%
    • Zebrafish Biomedical Research Applications
    • Neurobiology and Insect Physiology Research
    • Neuroscience and Neuropharmacology Research
    • Photoreceptor and optogenetics research

Papers in

Gregory D. Marquart

9 papers receiving 410 citations

Peers

Gregory D. Marquart
Comparison fields: 5 of 77
  • Cell Biology 223
  • Cellular and Molecular Neuroscience 139
  • Developmental Neuroscience 27
  • Endocrine and Autonomic Systems 35
  • Cognitive Neuroscience 93
Replace Christoph Gebhardt with:
Christoph Gebhardt France
Sadie A. Bergeron United States
Kathryn M. Tabor United States
Deepak Ailani Japan
Pradeep Lal Japan
Paride Antinucci United Kingdom
Chintan A. Trivedi United Kingdom
Farida Emran United States
Ryoko Nakayama Japan
Tsunehiko Kohashi Japan
Gregory D. Marquart relative to Christoph Gebhardt France Christoph Gebhardt's profile →
Citations per field
00.5×1.5×2.1×
Christoph Gebhardt · 1×
Citations per year

Countries citing papers authored by Gregory D. Marquart

Since Specialization
Citations

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

Fields of papers citing papers by Gregory D. Marquart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory D. Marquart. 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 Gregory D. Marquart. The network helps show where Gregory D. Marquart may publish in the future.

Co-authors

The 25 scholars most cited alongside Gregory D. Marquart, 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 Gregory D. Marquart Line = papers co-authored together Gregory D. Marquart links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201597
2 201283
3 201754
4 201945
5 201839
6 201938
7 201923
8 202021
9 201716

About Gregory D. Marquart

Gregory D. Marquart is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology and Biophysics, having authored 9 papers that have together received 416 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (7 papers), Congenital heart defects research (3 papers), Neurobiology and Insect Physiology Research (2 papers), Neural dynamics and brain function (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Animal Behavior and Reproduction (1 paper) and Regulation of Appetite and Obesity (1 paper). The work is most often cited by research in Cell Biology (223 citations), Cellular and Molecular Neuroscience (139 citations), Developmental Neuroscience (27 citations), Endocrine and Autonomic Systems (35 citations) and Cognitive Neuroscience (93 citations). Gregory D. Marquart has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Jens Herberholz, Harold A. Burgess, Kathryn M. Tabor, Mary E. Brown, Eric J. Horstick, Nicholas F. Polys, Matthew C. LaFave, Thomas J Mueller, Shawn M. Burgess and Shin‐ichi Higashijima. Their work appears in journals such as Current Biology, Frontiers in Neural Circuits, GigaScience, PLoS Biology and eLife.

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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