Tom Ten Have

28 total papers · 849 total citations
17 papers, 630 citations indexed

About

Tom Ten Have is a scholar working on Neurology, Cell Biology and Psychiatry and Mental health. According to data from OpenAlex, Tom Ten Have has authored 17 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 5 papers in Cell Biology and 4 papers in Psychiatry and Mental health. Recurrent topics in Tom Ten Have's work include Botulinum Toxin and Related Neurological Disorders (5 papers), Myofascial pain diagnosis and treatment (5 papers) and Pain Mechanisms and Treatments (3 papers). Tom Ten Have is often cited by papers focused on Botulinum Toxin and Related Neurological Disorders (5 papers), Myofascial pain diagnosis and treatment (5 papers) and Pain Mechanisms and Treatments (3 papers). Tom Ten Have collaborates with scholars based in United States, Netherlands and Switzerland. Tom Ten Have's co-authors include John E. Duda, Andrew Siderowf, Matthew B. Stern, Daniel Weintraub, Howard I. Hurtig, Paul J. Moberg, Sarra Nazem, Amy Colcher, Stacy Horn and Jayne Wilkinson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biological Psychiatry and Journal of Clinical Epidemiology.

In The Last Decade

Tom Ten Have

13 papers receiving 609 citations

Author Peers

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

Author						Papers	Cites
Tom Ten Have	331	226	136	73	47	17	630
Silvia Baudo	144 0.4×	171 0.8×	60 0.4×	80 1.1×	23 0.5×	22	752
F.R.J. Verhey	332 1.0×	311 1.4×	118 0.9×	66 0.9×	40 0.9×	19	612
W.J. Mutch	484 1.5×	183 0.8×	63 0.5×	51 0.7×	36 0.8×	24	751
K. Lowery	226 0.7×	366 1.6×	62 0.5×	42 0.6×	53 1.1×	7	615
V. Campos Arillo	479 1.4×	152 0.7×	84 0.6×	124 1.7×	81 1.7×	15	676
Parunyou Julayanont	142 0.4×	293 1.3×	121 0.9×	58 0.8×	29 0.6×	32	619
Rogério Beato	180 0.5×	265 1.2×	167 1.2×	20 0.3×	76 1.6×	33	633
Vincenzo Brandi	177 0.5×	118 0.5×	36 0.3×	106 1.5×	84 1.8×	25	715
Ralph Benedict	168 0.5×	233 1.0×	140 1.0×	72 1.0×	31 0.7×	32	730
Deborah A. Cahn	146 0.4×	393 1.7×	272 2.0×	48 0.7×	46 1.0×	16	700

Countries citing papers authored by Tom Ten Have

Since Specialization

Citations

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

Fields of papers citing papers by Tom Ten Have

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Ten Have. 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 Tom Ten Have. The network helps show where Tom Ten Have may publish in the future.

Co-authorship network of co-authors of Tom Ten Have

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Ten Have. A scholar is included among the top collaborators of Tom Ten Have 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 Tom Ten Have. Tom Ten Have 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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