Gregory S. Connor

517 total citations
10 papers, 300 citations indexed

About

Gregory S. Connor is a scholar working on Cellular and Molecular Neuroscience, Neurology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Gregory S. Connor has authored 10 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 4 papers in Neurology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Gregory S. Connor's work include Neurological disorders and treatments (4 papers), Epilepsy research and treatment (4 papers) and Pharmacological Effects and Toxicity Studies (3 papers). Gregory S. Connor is often cited by papers focused on Neurological disorders and treatments (4 papers), Epilepsy research and treatment (4 papers) and Pharmacological Effects and Toxicity Studies (3 papers). Gregory S. Connor collaborates with scholars based in United States and Bosnia and Herzegovina. Gregory S. Connor's co-authors include Keith R. Edwards, Daniel Tarsy, Joseph Jankovic, William C. Koller, Joseph Hulihan, Mark Stacy, Rajesh Pahwa, William G. Ondo, Rodger J. Elble and Amanda Williamson and has published in prestigious journals such as JAMA, Neurology and Epilepsy Research.

In The Last Decade

Gregory S. Connor

10 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gregory S. Connor United States	7	201	144	76	50	48	10	300
Anouk Kuiper Netherlands	12	223 1.1×	128 0.9×	38 0.5×	25 0.5×	49 1.0×	22	382
Kylee Tustin United Kingdom	9	369 1.8×	91 0.6×	210 2.8×	51 1.0×	15 0.3×	13	469
William Severt United States	9	200 1.0×	52 0.4×	32 0.4×	14 0.3×	38 0.8×	14	253
Howard Andrews United States	5	265 1.3×	135 0.9×	23 0.3×	14 0.3×	61 1.3×	6	325
Cynthia Bodkin United States	9	132 0.7×	56 0.4×	49 0.6×	30 0.6×	28 0.6×	18	264
L. I. Wallis United Kingdom	9	220 1.1×	84 0.6×	39 0.5×	48 1.0×	8 0.2×	13	410
Jill Behr United States	8	131 0.7×	112 0.8×	48 0.6×	13 0.3×	28 0.6×	9	311
Samuel M. Tucker United States	3	79 0.4×	52 0.4×	150 2.0×	26 0.5×	33 0.7×	6	250
David Renner United States	6	83 0.4×	57 0.4×	151 2.0×	31 0.6×	34 0.7×	13	285
Johanna Junker Germany	8	250 1.2×	114 0.8×	26 0.3×	20 0.4×	9 0.2×	12	308

Countries citing papers authored by Gregory S. Connor

Since Specialization

Citations

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

Fields of papers citing papers by Gregory S. Connor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory S. Connor. 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 Gregory S. Connor. The network helps show where Gregory S. Connor may publish in the future.

Co-authorship network of co-authors of Gregory S. Connor

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

All Works

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10 of 10 papers shown

Aboumatar, Sami, et al.. (2024). Reductions in concomitant antiseizure medication drug load during adjunctive cenobamate therapy: Post-hoc analysis of a subset of patients from a phase 3, multicenter, open-label study. Epilepsy Research. 200. 107306–107306. 8 indexed citations

Connor, Gregory S., et al.. (2024). Greater need for treatment optimization in patients with epilepsy initiating adjunctive therapy: Results of a retrospective claims analysis of antiseizure medication drug load in the United States. Epilepsy & Behavior. 152. 109649–109649. 1 indexed citations

Connor, Gregory S. & Amanda Williamson. (2022). Effectiveness and safety of adjunctive cenobamate for focal seizures in adults with developmental disability treated in clinical practice. Epilepsy & Behavior Reports. 18. 100533–100533. 18 indexed citations

Connor, Gregory S., et al.. (2022). The importance of drug titration in the management of patients with epilepsy. Epilepsy & Behavior. 128. 108517–108517. 21 indexed citations

Connor, Gregory S., Keith R. Edwards, & Daniel Tarsy. (2008). Topiramate in Essential Tremor. Clinical Neuropharmacology. 31(2). 97–103. 42 indexed citations

Ondo, William G., Joseph Jankovic, Gregory S. Connor, et al.. (2006). Topiramate in essential tremor. Neurology. 66(5). 672–677. 114 indexed citations

Connor, Gregory S.. (2002). A double-blind placebo-controlled trial of topiramate treatment for essential tremor. Neurology. 59(1). 132–134. 81 indexed citations

Connor, Gregory S.. (1995). Neurology and General Medicine: The Neurological Aspects of Medical Disorders. JAMA. 273(20). 1626–1626. 3 indexed citations

Connor, Gregory S.. (1993). Nature's Mind: The Biological Roots of Thinking, Emotions, Sexuality, Language, and Intelligence. JAMA. 269(24). 3162–3162. 11 indexed citations

10.

Connor, Gregory S.. (1992). Textbook of Clinical Neuropharmacology and Therapeutics. JAMA. 268(2). 270–270. 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.

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