David Labaree

3.2k citations
98 papers · 2.4k · h-index 31

Impact in

Papers in

David Labaree

96 papers receiving 2.4k citations

Peers

David Labaree
Comparison fields: 5 of 120
  • Biological Psychiatry 105
  • Cellular and Molecular Neuroscience 739
  • Pharmacology 315
  • Radiology, Nuclear Medicine and Imaging 405
  • Cognitive Neuroscience 309
Replace Graham E. Searle with:
Graham E. Searle United Kingdom
Katarina Varnäs Sweden
J.S. Dileep Kumar United States
Takeharu Kakiuchi Japan
Weiguo Ye United States
Jinsoo Hong United States
Peter Brust Germany
Armando García Canada
Jogeshwar Mukherjee United States
Hiroyuki Ohba Japan
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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 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014147
2 2009117
3 202088
4 201586
5 201585
6 201884
7 201464
8 201260
9 202050
10 201448
11 201446
12 201045
13 201444
14 201643
15 201743
16 201442
17 201342
18 201340
19 200339
20 201139

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 98 papers that have together received 2.4k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (21 papers), Estrogen and related hormone effects (18 papers), Neuroscience and Neuropharmacology Research (15 papers), Receptor Mechanisms and Signaling (14 papers), Radiopharmaceutical Chemistry and Applications (12 papers), Neurotransmitter Receptor Influence on Behavior (8 papers), Advanced MRI Techniques and Applications (6 papers) and Glioma Diagnosis and Treatment (6 papers). The work is most often cited by research in Biological Psychiatry (105 citations), Cellular and Molecular Neuroscience (739 citations), Pharmacology (315 citations), Radiology, Nuclear Medicine and Imaging (405 citations) and Cognitive Neuroscience (309 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, Shu-fei Lin, Jim Ropchan, 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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