Trevor Heritage

726 total citations
18 papers, 470 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 470 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), Machine Learning in Materials Science (3 papers) and Multiple Myeloma Research and Treatments (3 papers). Trevor Heritage is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Machine Learning in Materials Science (3 papers) and Multiple Myeloma Research and Treatments (3 papers). Trevor Heritage collaborates with scholars based in United States, United Kingdom and Netherlands. Trevor Heritage's co-authors include Peter Willett, David B. Turner, Allan M. Ferguson, William J. Welsh, Weida Tong, Daniel M. Sheehan, Dean W. Goddette, Roger Perkins, 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 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trevor Heritage United States 9 336 196 134 89 68 18 470
Svava Ósk Jónsdóttir Denmark 16 174 0.5× 168 0.9× 123 0.9× 84 0.9× 116 1.7× 31 556
Valentin Steinhauer Germany 4 313 0.9× 180 0.9× 131 1.0× 95 1.1× 71 1.0× 5 471
Liying Zhang United States 10 281 0.8× 207 1.1× 61 0.5× 58 0.7× 52 0.8× 20 473
Tomasz Magdziarz Poland 11 291 0.9× 206 1.1× 95 0.7× 68 0.8× 59 0.9× 34 524
Arvid Berg Sweden 6 309 0.9× 288 1.5× 34 0.3× 108 1.2× 91 1.3× 7 500
Emilio Xavier Esposito United States 13 438 1.3× 376 1.9× 68 0.5× 55 0.6× 137 2.0× 20 661
Markus Sitzmann United States 11 334 1.0× 292 1.5× 98 0.7× 65 0.7× 87 1.3× 12 530
Christof H. Schwab Germany 9 279 0.8× 184 0.9× 42 0.3× 40 0.4× 64 0.9× 17 431
Michael Thormann Germany 11 210 0.6× 242 1.2× 99 0.7× 68 0.8× 71 1.0× 17 422
Gilleain Torrance United Kingdom 4 251 0.7× 277 1.4× 28 0.2× 95 1.1× 88 1.3× 5 457

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

18 of 18 papers shown
1.
2.
3.
Gordan, Lucio, et al.. (2024). MM-318 Perspectives of Single-Center Community Hematologists/Oncologists on Minimal Residual Disease Testing Among Patients With Multiple Myeloma. Clinical Lymphoma Myeloma & Leukemia. 24. S546–S546. 1 indexed citations
4.
Goldschmidt, Jerome H., Lowell L. Hart, Jeffrey A. Scott, et al.. (2023). Real-World Outcomes of Trilaciclib Among Patients with Extensive-Stage Small Cell Lung Cancer Receiving Chemotherapy. Advances in Therapy. 40(10). 4189–4215. 3 indexed citations
5.
Hart, Lowell L., Augustina Ogbonnaya, Kathryn A. DeYoung, et al.. (2023). Burden of chemotherapy‐induced myelosuppression among patients with extensive‐stage small cell lung cancer: A retrospective study from community oncology practices. Cancer Medicine. 12(8). 10020–10030. 7 indexed citations
6.
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Gordon, Ben, et al.. (2022). Evaluation of freely available data profiling tools for health data research application: a functional evaluation review. BMJ Open. 12(5). e054186–e054186. 8 indexed citations
8.
Heritage, Trevor, et al.. (2021). Network graph representation of COVID-19 scientific publications to aid knowledge discovery. BMJ Health & Care Informatics. 28(1). e100254–e100254. 14 indexed citations
9.
Bohl, Martin, et al.. (2006). Unsupervised 3D Ring Template Searching as an Ideas Generator for Scaffold Hopping:  Use of the LAMDA, RigFit, and Field-Based Similarity Search (FBSS) Methods. Journal of Chemical Information and Modeling. 46(5). 1882–1890. 8 indexed citations
10.
Sprous, Dennis, et al.. (2004). OptiDock:  Virtual HTS of Combinatorial Libraries by Efficient Sampling of Binding Modes in Product Space. Journal of Combinatorial Chemistry. 6(4). 530–539. 10 indexed citations
11.
Bohl, Martin, James B. Dunbar, Eric Gifford, et al.. (2002). Scaffold Searching: Automated Identification of Similar Ring Systems for the Design of Combinatorial Libraries. Quantitative Structure-Activity Relationships. 21(6). 590–597. 17 indexed citations
12.
Turner, David B., Peter Willett, Allan M. Ferguson, & Trevor Heritage. (1999). Evaluation of a novel molecular vibration-based descriptor (EVA) for QSAR studies: 2. Model validation using a benchmark steroid dataset. Journal of Computer-Aided Molecular Design. 13(3). 271–296. 35 indexed citations
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14.
Tong, Weida, Roger Perkins, William J. Welsh, et al.. (1998). Evaluation of Quantitative Structure−Activity Relationship Methods for Large-Scale Prediction of Chemicals Binding to the Estrogen Receptor. Journal of Chemical Information and Computer Sciences. 38(4). 669–677. 163 indexed citations
15.
Ferguson, A. M., et al.. (1997). EVA: A new theoretically based molecular descriptor for use in QSAR/QSPR analysis. Journal of Computer-Aided Molecular Design. 11(2). 143–152. 88 indexed citations
16.
Turner, David B., Peter Willett, Allan M. Ferguson, & Trevor Heritage. (1997). Evaluation of a novel infrared range vibration-based descriptor (EVA) for QSAR studies. 1. General application. Journal of Computer-Aided Molecular Design. 11(4). 409–422. 54 indexed citations
17.
Turner, David B., et al.. (1997). Similarity Searching in Files of Three-Dimensional Chemical Structures:  Evaluation of the EVA Descriptor and Combination of Rankings Using Data Fusion. Journal of Chemical Information and Computer Sciences. 37(1). 23–37. 47 indexed citations
18.
Turner, David B., Peter Willett, A. M. Ferguson, & Trevor Heritage. (1995). Similarity Searching in Files of Three-Dimensional Structures: Evaluation of Similarity Coefficients and Standardisation Methods for Field-Based Similarity Searching. SAR and QSAR in environmental research. 3(2). 101–130. 12 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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