Samuel W. Terman

92 total papers · 1.5k total citations
52 papers, 952 citations indexed

About

Samuel W. Terman is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Samuel W. Terman has authored 52 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Psychiatry and Mental health, 28 papers in Pediatrics, Perinatology and Child Health and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Samuel W. Terman's work include Epilepsy research and treatment (33 papers), Pharmacological Effects and Toxicity Studies (25 papers) and Neuroscience and Neuropharmacology Research (7 papers). Samuel W. Terman is often cited by papers focused on Epilepsy research and treatment (33 papers), Pharmacological Effects and Toxicity Studies (25 papers) and Neuroscience and Neuropharmacology Research (7 papers). Samuel W. Terman collaborates with scholars based in United States, Switzerland and Netherlands. Samuel W. Terman's co-authors include Paul Park, Frank La Marca, James Burke, Timothy J. Yee, Craig Kilburg, Wajd N. Al‐Holou, Karin M. Muraszko, Hugh Garton, Cormac O. Maher and Darryl Lau and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Samuel W. Terman

47 papers receiving 934 citations

Author Peers

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

Author						Papers	Cites
Samuel W. Terman	360	290	290	266	227	52	952
Maxine M. Kuroda	572 1.6×	69 0.2×	148 0.5×	35 0.1×	195 0.9×	38	1.2k
José Aguirre	725 2.0×	212 0.7×	67 0.2×	59 0.2×	82 0.4×	61	1.0k
Paul Farquhar-Smith	177 0.5×	37 0.1×	155 0.5×	85 0.3×	80 0.4×	35	1.1k
Richard D. Wilson	355 1.0×	52 0.2×	66 0.2×	127 0.5×	79 0.3×	49	1.2k
Barbara Sinner	533 1.5×	128 0.4×	48 0.2×	105 0.4×	46 0.2×	59	1.1k
Syed Rizvi	154 0.4×	46 0.2×	172 0.6×	91 0.3×	254 1.1×	47	878
Xin-Qun Wang	178 0.5×	93 0.3×	43 0.1×	140 0.5×	56 0.2×	39	1.0k
Gad Shaked	258 0.7×	98 0.3×	41 0.1×	63 0.2×	67 0.3×	65	995
Brian Chan	206 0.6×	147 0.5×	110 0.4×	29 0.1×	66 0.3×	55	988
Joshua P. Prager	517 1.4×	286 1.0×	98 0.3×	63 0.2×	45 0.2×	27	1.2k

Countries citing papers authored by Samuel W. Terman

Since Specialization

Citations

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

Fields of papers citing papers by Samuel W. Terman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel W. Terman. 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 Samuel W. Terman. The network helps show where Samuel W. Terman may publish in the future.

Co-authorship network of co-authors of Samuel W. Terman

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel W. Terman. A scholar is included among the top collaborators of Samuel W. Terman 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 Samuel W. Terman. Samuel W. Terman 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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