David Labaree

3.1k citations
97 papers · 2.2k · h-index 30

Impact in

Papers in

David Labaree

96 papers receiving 2.2k citations

Peers

David Labaree
Comparison fields: 5 of 120
  • Biological Psychiatry 108
  • Cellular and Molecular Neuroscience 779
  • Pharmacology 325
  • Radiology, Nuclear Medicine and Imaging 431
  • Cognitive Neuroscience 337
Replace Graham E. Searle with:
Graham E. Searle United Kingdom
Katarina Varnäs Sweden
J.S. Dileep Kumar United States
Armando García Canada
Weiguo Ye United States
Gerard B. Fox United States
Takeharu Kakiuchi Japan
Peter Brust Germany
Jogeshwar Mukherjee United States
Jinsoo Hong United States
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Citations per field
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Citations per year

Countries citing papers authored by David Labaree

Since Specialization
Citations

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

Fields of papers citing papers by David Labaree

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014137
2 2009104
3 202084
4 201580
5 201879
6 201577
7 201460
8 201256
9 202046
10 201045
11 201445
12 201443
13 201641
14 201740
15 201440
16 201439
17 200339
18 201338
19 201337
20 201136

About David Labaree

David Labaree is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Genetics and Organic Chemistry, having authored 97 papers that have together received 2.2k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (24 papers), Neuroscience and Neuropharmacology Research (21 papers), Receptor Mechanisms and Signaling (19 papers), Estrogen and related hormone effects (18 papers), Radiopharmaceutical Chemistry and Applications (14 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Neuropeptides and Animal Physiology (8 papers) and Advanced MRI Techniques and Applications (7 papers). The work is most often cited by research in Biological Psychiatry (108 citations), Cellular and Molecular Neuroscience (779 citations), Pharmacology (325 citations), Radiology, Nuclear Medicine and Imaging (431 citations) and Cognitive Neuroscience (337 citations). David Labaree has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Richard E. Carson, Yiyun Huang, Nabeel Nabulsi, Richard B. Hochberg, Jim Ropchan, Shu-fei Lin, Ming‐Qiang Zheng, Shannan Henry, Alexander Neumeister and Jean‐Dominique Gallezot. Their work appears in journals such as Journal of Nuclear Medicine, NeuroImage, Journal of Cerebral Blood Flow & Metabolism, Nuclear Medicine and Biology and Journal of Medicinal Chemistry.

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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