Trevor Heritage

36 total papers · 725 total citations
18 papers, 469 citations indexed

About

Trevor Heritage is a scholar working on Computational Theory and Mathematics, Molecular Biology and Oncology. According to data from OpenAlex, Trevor Heritage has authored 18 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 9 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Trevor Heritage's work include Computational Drug Discovery Methods (10 papers), Multiple Myeloma Research and Treatments (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). Trevor Heritage is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Multiple Myeloma Research and Treatments (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). Trevor Heritage collaborates with scholars based in United States, United Kingdom and Israel. Trevor Heritage's co-authors include Peter Willett, David B. Turner, Allan M. Ferguson, Daniel M. Sheehan, Roger Perkins, William J. Welsh, Dean W. Goddette, Weida Tong, A. M. Ferguson and José Rogan and has published in prestigious journals such as BMJ Open, Journal of Chemical Information and Modeling and Journal of Computer-Aided Molecular Design.

In The Last Decade

Trevor Heritage

16 papers receiving 438 citations

Author Peers

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

Author Last Decade Papers Cites
Trevor Heritage 336 196 134 89 68 18 469
Nina Nikolova 329 1.0× 182 0.9× 85 0.6× 108 1.2× 79 1.2× 17 517
Liying Zhang 280 0.8× 207 1.1× 61 0.5× 57 0.6× 51 0.8× 20 470
Julian Ivanov 266 0.8× 73 0.4× 103 0.8× 107 1.2× 56 0.8× 22 465
J. P. Doucet 249 0.7× 117 0.6× 165 1.2× 93 1.0× 63 0.9× 22 433
Gilles Klopman 212 0.6× 134 0.7× 74 0.6× 132 1.5× 55 0.8× 19 533
R. Garcia‐Domenech 354 1.1× 193 1.0× 203 1.5× 99 1.1× 15 0.2× 12 490
Markus C. Hemmer 272 0.8× 184 0.9× 111 0.8× 123 1.4× 67 1.0× 11 484
Tomasz Magdziarz 291 0.9× 204 1.0× 95 0.7× 68 0.8× 59 0.9× 34 519
Catrin Hasselgren 199 0.6× 157 0.8× 89 0.7× 45 0.5× 73 1.1× 27 530
Joseph R. Votano 211 0.6× 186 0.9× 53 0.4× 114 1.3× 45 0.7× 15 477

Countries citing papers authored by Trevor Heritage

Since Specialization
Citations

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

Fields of papers citing papers by Trevor Heritage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trevor Heritage

This figure shows the co-authorship network connecting the top 25 collaborators of Trevor Heritage. A scholar is included among the top collaborators of Trevor Heritage 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 Trevor Heritage. Trevor Heritage 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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