Evan Dennis

586 total citations
21 papers, 282 citations indexed

About

Evan Dennis is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Evan Dennis has authored 21 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Evan Dennis's work include Functional Brain Connectivity Studies (6 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Stress Responses and Cortisol (2 papers). Evan Dennis is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Stress Responses and Cortisol (2 papers). Evan Dennis collaborates with scholars based in United States, China and Canada. Evan Dennis's co-authors include Peter Manza, Nora D. Volkow, H. Edward Garrett, Christina E. May, Katherine McPherson, Monica Dus, Allison Johnson, Gene‐Jack Wang, Dardo Tomasi and John H. Moyer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Evan Dennis

20 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evan Dennis United States 10 53 43 41 37 35 21 282
Kristen Coveleskie United States 8 26 0.5× 96 2.2× 38 0.9× 75 2.0× 16 0.5× 8 383
Tomas Berggren Sweden 8 78 1.5× 32 0.7× 15 0.4× 40 1.1× 27 0.8× 14 613
Anita S. Wells United Kingdom 8 27 0.5× 68 1.6× 23 0.6× 28 0.8× 113 3.2× 11 389
J E Dimsdale United States 12 37 0.7× 17 0.4× 175 4.3× 40 1.1× 20 0.6× 13 413
Haiko Schlögl Germany 11 52 1.0× 83 1.9× 50 1.2× 43 1.2× 46 1.3× 34 494
S. Landino United States 7 65 1.2× 121 2.8× 29 0.7× 32 0.9× 34 1.0× 11 363
J. C. Miller United States 5 48 0.9× 17 0.4× 10 0.2× 59 1.6× 13 0.4× 8 505
Ranka Samardžić Czechia 11 114 2.2× 37 0.9× 41 1.0× 58 1.6× 10 0.3× 34 330
G. Redaelli Italy 7 50 0.9× 13 0.3× 82 2.0× 33 0.9× 27 0.8× 12 327
H. Zhou United States 4 43 0.8× 15 0.3× 10 0.2× 40 1.1× 13 0.4× 8 435

Countries citing papers authored by Evan Dennis

Since Specialization
Citations

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

Fields of papers citing papers by Evan Dennis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evan Dennis

This figure shows the co-authorship network connecting the top 25 collaborators of Evan Dennis. A scholar is included among the top collaborators of Evan Dennis 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 Dennis. Evan Dennis 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
1.
Allington, Garrett, Neel H. Mehta, Evan Dennis, et al.. (2024). De novo variants disrupt an LDB1 -regulated transcriptional network in congenital ventriculomegaly. Brain. 148(5). 1817–1828.
2.
Manza, Peter, Dardo Tomasi, Ehsan Shokri‐Kojori, et al.. (2023). Neural circuit selective for fast but not slow dopamine increases in drug reward. Nature Communications. 14(1). 6408–6408. 7 indexed citations
3.
Tomasi, Dardo, Peter Manza, Jean Logan, et al.. (2023). Time-varying SUVr reflects the dynamics of dopamine increases during methylphenidate challenges in humans. Communications Biology. 6(1). 166–166. 6 indexed citations
4.
Tomasi, Dardo, Peter Manza, Weizheng Yan, et al.. (2023). Examining the role of dopamine in methylphenidate’s effects on resting brain function. Proceedings of the National Academy of Sciences. 120(52). e2314596120–e2314596120. 7 indexed citations
5.
Dennis, Evan, et al.. (2022). Ketamine use disorder: preclinical, clinical, and neuroimaging evidence to support proposed mechanisms of actions. SHILAP Revista de lepidopterología. 2(2). 61–68. 9 indexed citations
6.
Manza, Peter, Ehsan Shokri‐Kojori, Şükrü Barış Demiral, et al.. (2022). Cortical D1 and D2 dopamine receptor availability modulate methylphenidate-induced changes in brain activity and functional connectivity. Communications Biology. 5(1). 514–514. 8 indexed citations
7.
Dennis, Evan, Peter Manza, & Nora D. Volkow. (2022). Socioeconomic status, BMI, and brain development in children. Translational Psychiatry. 12(1). 33–33. 60 indexed citations
8.
Demiral, Şükrü Barış, Peter Manza, Corinde E. Wiers, et al.. (2022). Striatal D1 and D2 receptor availability are selectively associated with eye-blink rates after methylphenidate treatment. Communications Biology. 5(1). 1015–1015. 9 indexed citations
9.
Manza, Peter, Katherine McPherson, Evan Dennis, et al.. (2022). Inflammatory Markers in Substance Use and Mood Disorders: A Neuroimaging Perspective. Frontiers in Psychiatry. 13. 863734–863734. 23 indexed citations
10.
Manza, Peter, Danielle S. Kroll, Katherine McPherson, et al.. (2022). Sex differences in weight gain during medication-based treatment for opioid use disorder: A meta-analysis and retrospective analysis of clinical trial data. Drug and Alcohol Dependence. 238. 109575–109575. 9 indexed citations
11.
Manza, Peter, Ehsan Shokri‐Kojori, Corinde E. Wiers, et al.. (2021). Sex differences in methylphenidate-induced dopamine increases in ventral striatum. Molecular Psychiatry. 27(2). 939–946. 24 indexed citations
12.
May, Christina E., et al.. (2020). Dietary sugar inhibits satiation by decreasing the central processing of sweet taste. eLife. 9. 42 indexed citations
13.
Garrett, H. Edward, et al.. (1973). Aortocoronary bypass with saphenous vein graft. Seven-year follow-up.. PubMed. 223(18). 1517, 1519–20. 37 indexed citations
14.
Jh, Moyer, et al.. (1956). Management of some problems in the use of newer cardiovascular drugs.. PubMed. 52(5). 293–304. 1 indexed citations
15.
Dennis, Evan, John H. Moyer, & John R. Strawn. (1956). Laboratory observations on chlorisondamine (ecolid) and clinical results when used for the treatment of hypertension.. PubMed. 7(11). 1765–75. 2 indexed citations
16.
Moyer, John H. & Evan Dennis. (1956). Treatment of hypertension. III. Pharmacodynamics in therapy: peripherally acting agents.. PubMed. 49(1). 76–85. 1 indexed citations
17.
Dennis, Evan, et al.. (1956). Drug therapy of hypertension in the elderly patient.. PubMed. 11(12). 527–42. 6 indexed citations
18.
Moyer, John H., et al.. (1955). Treatment of hypertensive emergencies with parenteral reserpine. The American Journal of Medicine. 19(1). 149–149. 2 indexed citations
19.
Moyer, John H., et al.. (1955). Laboratory and Clinical Observations on Mecamylamine as a Hypotensive Agent.. Experimental Biology and Medicine. 90(2). 402–408. 14 indexed citations
20.
Coon, William W., et al.. (1953). THERAPEUTIC EVALUATION OF A NEW ANTICOAGULANT, PHENYLINDANDIONE*. Annals of Surgery. 138(3). 467–475. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kristen Coveleskie Breakdown of academic impact, for papers by Tomas Berggren Breakdown of academic impact, for papers by Anita S. Wells Breakdown of academic impact, for papers by J E Dimsdale Breakdown of academic impact, for papers by Haiko Schlögl Breakdown of academic impact, for papers by S. Landino Breakdown of academic impact, for papers by J. C. Miller Breakdown of academic impact, for papers by Ranka Samardžić Breakdown of academic impact, for papers by G. Redaelli Breakdown of academic impact, for papers by H. Zhou
Rankless by CCL
2026