Evan L. Riddle

3.1k total citations · 1 hit paper
37 papers, 2.4k citations indexed

About

Evan L. Riddle is a scholar working on Cellular and Molecular Neuroscience, Oncology and Molecular Biology. According to data from OpenAlex, Evan L. Riddle has authored 37 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 13 papers in Oncology and 11 papers in Molecular Biology. Recurrent topics in Evan L. Riddle's work include Neurotransmitter Receptor Influence on Behavior (16 papers), Neuroscience and Neuropharmacology Research (15 papers) and Polyomavirus and related diseases (13 papers). Evan L. Riddle is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (16 papers), Neuroscience and Neuropharmacology Research (15 papers) and Polyomavirus and related diseases (13 papers). Evan L. Riddle collaborates with scholars based in United States, United Kingdom and Greece. Evan L. Riddle's co-authors include Annette E. Fleckenstein, Glen R. Hanson, James W. Gibb, Trent J. Volz, Verónica Sandoval, C M Backhouse, S D Blair, Charles McCollum, Debra D. Wright and Paul A. Insel and has published in prestigious journals such as Journal of Neuroscience, Circulation Research and Neurology.

In The Last Decade

Evan L. Riddle

34 papers receiving 2.3k citations

Hit Papers

New Insights into the Mechanism of Action of Amphetamines 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evan L. Riddle United States 23 1.3k 787 342 270 252 37 2.4k
Guadalupe Sòria Spain 26 603 0.4× 347 0.4× 141 0.4× 200 0.7× 53 0.2× 56 1.7k
Filippo Sean Giorgi Italy 32 1.2k 0.9× 556 0.7× 45 0.1× 597 2.2× 88 0.3× 116 3.0k
Patrizia Romualdi Italy 26 1.5k 1.1× 1.1k 1.4× 263 0.8× 141 0.5× 49 0.2× 155 3.0k
Joel R. Martin United States 21 843 0.6× 416 0.5× 452 1.3× 81 0.3× 11 0.0× 55 1.9k
Michael J. Lewis United States 28 1.0k 0.8× 683 0.9× 133 0.4× 54 0.2× 34 0.1× 94 2.4k
Caterina Motta Italy 33 555 0.4× 516 0.7× 59 0.2× 532 2.0× 12 0.0× 86 3.4k
Anders B. Klein Denmark 24 775 0.6× 486 0.6× 93 0.3× 78 0.3× 42 0.2× 58 1.9k
Chauying J. Jen Taiwan 29 430 0.3× 414 0.5× 103 0.3× 162 0.6× 9 0.0× 64 2.4k
Andrzej Członkowski Poland 32 1.8k 1.3× 887 1.1× 166 0.5× 900 3.3× 10 0.0× 89 3.4k
Roman Rukwied Germany 28 504 0.4× 275 0.3× 103 0.3× 186 0.7× 63 0.3× 75 2.4k

Countries citing papers authored by Evan L. Riddle

Since Specialization
Citations

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

Fields of papers citing papers by Evan L. Riddle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evan L. Riddle. 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 Evan L. Riddle. The network helps show where Evan L. Riddle may publish in the future.

Co-authorship network of co-authors of Evan L. Riddle

This figure shows the co-authorship network connecting the top 25 collaborators of Evan L. Riddle. A scholar is included among the top collaborators of Evan L. Riddle 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 Evan L. Riddle. Evan L. Riddle 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
3.
Berkovich, Regina, et al.. (2021). Progressive Multifocal Leukoencephalopathy Risk Perception in Patients Considering Natalizumab for Multiple Sclerosis. International Journal of MS Care. 24(1). 13–17. 1 indexed citations
5.
Ryerson, Lana Zhovtis, John Foley, Ih Chang, et al.. (2019). Risk of natalizumab-associated PML in patients with MS is reduced with extended interval dosing. Neurology. 93(15). e1452–e1462. 116 indexed citations
7.
Ryerson, Lana Zhovtis, John Foley, Ih Chang, et al.. (2018). Natalizumab Extended Interval Dosing Is Associated with a Reduction in Progressive Multifocal Leukoencephalopathy (PML) Risk in the Touch® Registry. 10 indexed citations
8.
Riddle, Evan L., Glen R. Hanson, & Annette E. Fleckenstein. (2007). Therapeutic doses of amphetamine and methylphenidate selectively redistribute the vesicular monoamine transporter-2. European Journal of Pharmacology. 571(1). 25–28. 44 indexed citations
9.
Volz, Trent J., et al.. (2007). Methylphenidate Administration Alters Vesicular Monoamine Transporter-2 Function in Cytoplasmic and Membrane-Associated Vesicles. Journal of Pharmacology and Experimental Therapeutics. 323(2). 738–745. 38 indexed citations
10.
Riddle, Evan L., Annette E. Fleckenstein, & Glen R. Hanson. (2005). Role of monoamine transporters in mediating psychostimulant effects. The AAPS Journal. 7(4). E847–E851. 96 indexed citations
11.
Baucum, Anthony J., Kristi S. Rau, Evan L. Riddle, Glen R. Hanson, & Annette E. Fleckenstein. (2004). Methamphetamine Increases Dopamine Transporter Higher Molecular Weight Complex Formation via a Dopamine- and Hyperthermia-Associated Mechanism. Journal of Neuroscience. 24(13). 3436–3443. 74 indexed citations
12.
Sandoval, Verónica, Evan L. Riddle, Glen R. Hanson, & Annette E. Fleckenstein. (2003). Methylphenidate Alters Vesicular Monoamine Transport and Prevents Methamphetamine-Induced Dopaminergic Deficits. Journal of Pharmacology and Experimental Therapeutics. 304(3). 1181–1187. 90 indexed citations
13.
Rau, Kristi S., et al.. (2003). Methamphetamine rapidly decreases mouse vesicular dopamine uptake: role of hyperthermia and dopamine D2 receptors. European Journal of Pharmacology. 472(3). 165–171. 25 indexed citations
14.
Riddle, Evan L., Verónica Sandoval, Jeffrey M. Brown, et al.. (2002). Methylenedioxymethamphetamine Decreases Plasmalemmal and Vesicular Dopamine Transport: Mechanisms and Implications for Neurotoxicity. Journal of Pharmacology and Experimental Therapeutics. 300(3). 1093–1100. 62 indexed citations
15.
Brown, Jeffrey M., Evan L. Riddle, Verónica Sandoval, et al.. (2002). A Single Methamphetamine Administration Rapidly Decreases Vesicular Dopamine Uptake. Journal of Pharmacology and Experimental Therapeutics. 302(2). 497–501. 66 indexed citations
16.
Riddle, Evan L., Jerry M Kokoshka, Diana G. Wilkins, Glen R. Hanson, & Annette E. Fleckenstein. (2002). Tolerance to the neurotoxic effects of methamphetamine in young rats. European Journal of Pharmacology. 435(2-3). 181–185. 44 indexed citations
17.
Sandoval, Verónica, et al.. (2001). Methamphetamine-induced rapid and reversible changes in dopamine transporter function: an in vitro model.. PubMed. 21(4). 1413–9. 94 indexed citations
18.
Fleckenstein, Annette E., Heather M. Haughey, Ryan R. Metzger, et al.. (1999). Differential effects of psychostimulants and related agents on dopaminergic and serotonergic transporter function. European Journal of Pharmacology. 382(1). 45–49. 101 indexed citations
19.
Blair, S D, Debra D. Wright, C M Backhouse, Evan L. Riddle, & Charles McCollum. (1988). Sustained compression and healing of chronic venous ulcers.. BMJ. 297(6657). 1159–1161. 276 indexed citations
20.
Blair, S D, et al.. (1988). Do Dressings Influence the Healing of Chronic Venous Ulcers?. Phlebology The Journal of Venous Disease. 3(2). 129–134. 55 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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