Richard D. Scheyer

25 total papers · 658 total citations
15 papers, 513 citations indexed

About

Richard D. Scheyer is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health and Oncology. According to data from OpenAlex, Richard D. Scheyer has authored 15 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Psychiatry and Mental health, 8 papers in Pediatrics, Perinatology and Child Health and 4 papers in Oncology. Recurrent topics in Richard D. Scheyer's work include Epilepsy research and treatment (9 papers), Pharmacological Effects and Toxicity Studies (8 papers) and Neuroscience and Neuropharmacology Research (3 papers). Richard D. Scheyer is often cited by papers focused on Epilepsy research and treatment (9 papers), Pharmacological Effects and Toxicity Studies (8 papers) and Neuroscience and Neuropharmacology Research (3 papers). Richard D. Scheyer collaborates with scholars based in United States, Germany and Canada. Richard D. Scheyer's co-authors include P. O’Connor, M. S. Freedman, George P. Rice, D. W. Paty, Christian Confavreux, Amit Bar‐Or, Jeffrey A. Stewart, Joyce A. Cramer, Richard H. Mattson and Amiram Katz and has published in prestigious journals such as Journal of Clinical Oncology, Neurology and Journal of Pharmaceutical Sciences.

In The Last Decade

Richard D. Scheyer

15 papers receiving 478 citations

Author Peers

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

Author						Papers	Cites
Richard D. Scheyer	223	159	125	111	105	15	513
Pietro Ruggeri	244 1.1×	95 0.6×	82 0.7×	40 0.4×	21 0.2×	10	524
Mat D. Davis	101 0.5×	264 1.7×	32 0.3×	21 0.2×	230 2.2×	36	616
Bérenger Largeau	22 0.1×	85 0.5×	38 0.3×	45 0.4×	74 0.7×	25	472
B. Mason	163 0.7×	18 0.1×	31 0.2×	82 0.7×	47 0.4×	23	479
Anuradha Chakrabarty	112 0.5×	40 0.3×	14 0.1×	43 0.4×	37 0.4×	13	531
Martin Roesslein	44 0.2×	139 0.9×	55 0.4×	25 0.2×	37 0.4×	20	597
Duygu B. Bas	32 0.1×	55 0.3×	27 0.2×	40 0.4×	48 0.5×	17	602
Tony Waegemans	15 0.1×	222 1.4×	205 1.6×	50 0.5×	110 1.0×	12	495
V. Argentiero	70 0.3×	28 0.2×	15 0.1×	43 0.4×	129 1.2×	16	523
Katina Aleksovska	42 0.2×	89 0.6×	37 0.3×	112 1.0×	103 1.0×	13	560

Countries citing papers authored by Richard D. Scheyer

Since Specialization

Citations

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

Fields of papers citing papers by Richard D. Scheyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard D. Scheyer

This figure shows the co-authorship network connecting the top 25 collaborators of Richard D. Scheyer. A scholar is included among the top collaborators of Richard D. Scheyer 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 Richard D. Scheyer. Richard D. Scheyer 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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