G R Uhl

4.0k citations
20 papers · 3.3k indexed · 2 hit papers · h-index 14
Topics
Receptor Mechanisms and Signaling (9 papers)Neuropeptides and Animal Physiology (7 papers)Neuroscience and Neuropharmacology Research (5 papers)

In The Last Decade

G R Uhl

20 papers receiving 3.2k citations

Hit Papers

Mechanisms of nitric oxide-mediated neurotoxicity in prim...197720261993200919931977250500750

Peers

G R Uhl
Comparison fields: 5 of 105
  • Cellular and Molecular Neuroscience 2.0k
  • Molecular Biology 1.6k
  • Physiology 912
  • Neurology 439
  • Neurology 434
Replace Tony Priestley with:
Tony Priestley United States
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Stanley A. Thayer United States
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T. Renee Dawson United States
Yvette Akwa France
Alberta Leon Italy
G R Uhl relative to Tony Priestley United States Tony Priestley's profile →
Citations per field
00.5×2.9×
Tony Priestley · 1×
Citations per year

Countries citing papers authored by G R Uhl

Since Specialization
Citations

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

Fields of papers citing papers by G R Uhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G R Uhl. 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 G R Uhl. The network helps show where G R Uhl may publish in the future.

Co-authorship network of co-authors of G R Uhl

This figure shows the co-authorship network connecting the top 25 collaborators of G R Uhl. A scholar is included among the top collaborators of G R Uhl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G R Uhl. G R Uhl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 25
2 20
3 28
4
Dopamine transporter transmembrane domain polar mutants: DeltaG and DeltaDeltaG values implicate regions important for transporter functions.
34
5 380
6 6
7 1
8 5
9 83
10 1
11 2
12
Mechanisms of nitric oxide-mediated neurotoxicity in primary brain culturesbreakdown →
875
13 456
14 293
15 335
16
Somatostatin-gene expression in the postmortem adult and fetal human brain.
6
17 105
18 52
19 100
20
Opioid peptide enkephalin: immunohistochemical mapping in rat central nervous system.breakdown →
508

About G R Uhl

G R Uhl is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Developmental Neuroscience, having authored 20 papers that have together received 3.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Neurology (434 citations) and Virology (181 citations). G R Uhl has collaborated with scholars based in United States, United Kingdom and Niger. Frequent co-authors include VL Dawson, T. Renee Dawson, SH Snyder, S H Snyder, Valina L. Dawson, Ted M. Dawson, M. J. Kuhar, Rabi Simantov, VM Pickel and MJ Kuhar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of 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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