Timothy H. Pruess

773 total citations
14 papers, 606 citations indexed

About

Timothy H. Pruess is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Timothy H. Pruess has authored 14 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 5 papers in Psychiatry and Mental health. Recurrent topics in Timothy H. Pruess's work include Neuroscience and Neuropharmacology Research (7 papers), Neuropeptides and Animal Physiology (7 papers) and Receptor Mechanisms and Signaling (6 papers). Timothy H. Pruess is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Neuropeptides and Animal Physiology (7 papers) and Receptor Mechanisms and Signaling (6 papers). Timothy H. Pruess collaborates with scholars based in United States, Poland and Belgium. Timothy H. Pruess's co-authors include H. Steve White, E. Jill Dahle, Grzegorz Bułaj, Karen S. Wilcox, Brad R. Green, Mark Leppert, Chris Pappas, Nanda A. Singh, Lieve Claes and Joel A. Thompson and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and PLoS Genetics.

In The Last Decade

Timothy H. Pruess

14 papers receiving 588 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Timothy H. Pruess United States 13 357 321 261 98 80 14 606
Stacey B. B. Dutton United States 9 295 0.8× 230 0.7× 289 1.1× 104 1.1× 56 0.7× 10 512
Fabiola Vanegas United States 9 213 0.6× 157 0.5× 156 0.6× 47 0.5× 67 0.8× 9 418
John Mallee United States 11 406 1.1× 385 1.2× 136 0.5× 54 0.6× 46 0.6× 17 816
Sonja Bröer Germany 14 335 0.9× 138 0.4× 257 1.0× 27 0.3× 105 1.3× 25 624
Kazuhisa Hongou Japan 12 193 0.5× 139 0.4× 131 0.5× 26 0.3× 58 0.7× 27 472
Jacques Laschet France 14 178 0.5× 202 0.6× 228 0.9× 51 0.5× 139 1.7× 22 517
Jens Stoodt Germany 8 352 1.0× 446 1.4× 172 0.7× 93 0.9× 17 0.2× 8 573
James B. Wiesner United States 16 275 0.8× 258 0.8× 60 0.2× 32 0.3× 22 0.3× 20 677
Trine L. Toft‐Bertelsen Denmark 18 245 0.7× 312 1.0× 32 0.1× 36 0.4× 92 1.1× 34 687
Vicki Shanker United States 13 219 0.6× 98 0.3× 77 0.3× 42 0.4× 48 0.6× 41 603

Countries citing papers authored by Timothy H. Pruess

Since Specialization
Citations

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

Fields of papers citing papers by Timothy H. Pruess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy H. Pruess. 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 Timothy H. Pruess. The network helps show where Timothy H. Pruess may publish in the future.

Co-authorship network of co-authors of Timothy H. Pruess

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

All Works

14 of 14 papers shown
1.
West, Peter J., Kyle E. Thomson, P. R. Billingsley, et al.. (2021). Spontaneous recurrent seizures in an intra-amygdala kainate microinjection model of temporal lobe epilepsy are differentially sensitive to antiseizure drugs. Experimental Neurology. 349. 113954–113954. 16 indexed citations
2.
Smith, Misty D., José H. Woodhead, Timothy H. Pruess, et al.. (2017). Preclinical Comparison of Mechanistically Different Antiseizure, Antinociceptive, and/or Antidepressant Drugs in a Battery of Rodent Models of Nociceptive and Neuropathic Pain. Neurochemical Research. 42(7). 1995–2010. 22 indexed citations
3.
Barker‐Haliski, Melissa, P. R. Billingsley, Zhenmei Lü, et al.. (2017). Validation of a Preclinical Drug Screening Platform for Pharmacoresistant Epilepsy. Neurochemical Research. 42(7). 1904–1918. 51 indexed citations
4.
Barker‐Haliski, Melissa, E. Jill Dahle, Fabiola Vanegas, et al.. (2016). Acute treatment with minocycline, but not valproic acid, improves long‐term behavioral outcomes in the Theiler's virus model of temporal lobe epilepsy. Epilepsia. 57(12). 1958–1967. 42 indexed citations
5.
Barker‐Haliski, Melissa, E. Jill Dahle, Timothy H. Pruess, et al.. (2015). Evaluating an Etiologically Relevant Platform for Therapy Development for Temporal Lobe Epilepsy: Effects of Carbamazepine and Valproic Acid on Acute Seizures and Chronic Behavioral Comorbidities in the Theiler’s Murine Encephalomyelitis Virus Mouse Model. Journal of Pharmacology and Experimental Therapeutics. 353(2). 318–329. 37 indexed citations
6.
Robertson, Charles R., et al.. (2012). Generating Orally Active Galanin Analogues with Analgesic Activities. ChemMedChem. 7(5). 903–909. 6 indexed citations
7.
Robertson, Charles R., et al.. (2010). Engineering Galanin Analogues That Discriminate between GalR1 and GalR2 Receptor Subtypes and Exhibit Anticonvulsant Activity following Systemic Delivery. Journal of Medicinal Chemistry. 53(4). 1871–1875. 31 indexed citations
8.
Green, Brad R., Karen L. White, Daniel R. McDougle, et al.. (2010). Introduction of lipidization–cationization motifs affords systemically bioavailable neuropeptide Y and neurotensin analogs with anticonvulsant activities. Journal of Peptide Science. 16(9). 486–495. 21 indexed citations
9.
Robertson, Charles R., et al.. (2009). Structural Requirements for a Lipoamino Acid in Modulating the Anticonvulsant Activities of Systemically Active Galanin Analogues. Journal of Medicinal Chemistry. 52(5). 1310–1316. 30 indexed citations
10.
White, H. Steve, Brian D. Klein, Sean P. Flynn, et al.. (2009). Developing Novel Antiepileptic Drugs: Characterization of NAX 5055, a Systemically-Active Galanin Analog, in Epilepsy Models. Neurotherapeutics. 6(2). 372–380. 43 indexed citations
11.
Otto, James F., Nanda A. Singh, E. Jill Dahle, et al.. (2009). Electroconvulsive seizure thresholds and kindling acquisition rates are altered in mouse models of human KCNQ2 and KCNQ3 mutations for benign familial neonatal convulsions. Epilepsia. 50(7). 1752–1759. 33 indexed citations
12.
Singh, Nanda A., Chris Pappas, E. Jill Dahle, et al.. (2009). A Role of SCN9A in Human Epilepsies, As a Cause of Febrile Seizures and As a Potential Modifier of Dravet Syndrome. PLoS Genetics. 5(9). e1000649–e1000649. 203 indexed citations
13.
Pruess, Timothy H., et al.. (2009). Synthesis and Applications of Polyamine Amino Acid Residues: Improving the Bioactivity of an Analgesic Neuropeptide, Neurotensin. Journal of Medicinal Chemistry. 52(6). 1514–1517. 17 indexed citations
14.
Bułaj, Grzegorz, Brad R. Green, Charles R. Robertson, et al.. (2008). Design, Synthesis, and Characterization of High-Affinity, Systemically-Active Galanin Analogues with Potent Anticonvulsant Activities. Journal of Medicinal Chemistry. 51(24). 8038–8047. 54 indexed citations

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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