Stephen D. Hurt

30 total papers · 619 total citations
19 papers, 526 citations indexed

About

Stephen D. Hurt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Stephen D. Hurt has authored 19 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 4 papers in Organic Chemistry. Recurrent topics in Stephen D. Hurt's work include Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Stephen D. Hurt is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Stephen D. Hurt collaborates with scholars based in United States, Switzerland and Belize. Stephen D. Hurt's co-authors include Matthew A. Sills, Mario F. Pozza, Christof Angst, Graham E. Fagg, Derek E. Brundish, Michael Williams, Linda J. Cornfield, S Hu, E. J. Corey and Boyd L. Harrison and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, The Journal of Organic Chemistry and European Journal of Pharmacology.

In The Last Decade

Stephen D. Hurt

19 papers receiving 486 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephen D. Hurt 366 351 65 45 44 19 526
Victoria Moncada 270 0.7× 306 0.9× 43 0.7× 32 0.7× 26 0.6× 15 596
Antony R. Knight 385 1.1× 337 1.0× 113 1.7× 40 0.9× 47 1.1× 10 595
Ahmed H. Ahmed 305 0.8× 335 1.0× 42 0.6× 86 1.9× 53 1.2× 25 521
Derek E. Brundish 304 0.8× 277 0.8× 102 1.6× 63 1.4× 12 0.3× 20 483
Christian Napias 249 0.7× 354 1.0× 26 0.4× 32 0.7× 17 0.4× 25 531
Corrado Carignani 397 1.1× 383 1.1× 18 0.3× 19 0.4× 32 0.7× 17 594
Elizabeth T. McNeal 315 0.9× 392 1.1× 64 1.0× 14 0.3× 17 0.4× 23 604
Claudia Jatzke 352 1.0× 415 1.2× 34 0.5× 46 1.0× 9 0.2× 19 579
Katarzyna Kamińska 342 0.9× 188 0.5× 33 0.5× 12 0.3× 50 1.1× 30 587
Julio M. Azcurra 269 0.7× 342 1.0× 30 0.5× 20 0.4× 14 0.3× 29 573

Countries citing papers authored by Stephen D. Hurt

Since Specialization
Citations

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

Fields of papers citing papers by Stephen D. Hurt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen D. Hurt

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen D. Hurt. A scholar is included among the top collaborators of Stephen D. Hurt 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 Stephen D. Hurt. Stephen D. Hurt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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