Timothy Sheils

1.1k total citations
12 papers, 313 citations indexed

About

Timothy Sheils is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Timothy Sheils has authored 12 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Genetics. Recurrent topics in Timothy Sheils's work include Bioinformatics and Genomic Networks (6 papers), Computational Drug Discovery Methods (5 papers) and Genomics and Rare Diseases (4 papers). Timothy Sheils is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Computational Drug Discovery Methods (5 papers) and Genomics and Rare Diseases (4 papers). Timothy Sheils collaborates with scholars based in United States, Denmark and Sweden. Timothy Sheils's co-authors include Ðắc-Trung Nguyễn, Tudor I. Oprea, Noel Southall, Ewy A. Mathé, Vishal B. Siramshetty, Stephen L. Mathias, Jeremy J. Yang, Cristian Bologa, Anton Simeonov and Keith J. Kelleher and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Drug Discovery Today.

In The Last Decade

Timothy Sheils

12 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy Sheils United States 9 222 130 30 23 19 12 313
Zhen Wah Tan Singapore 10 305 1.4× 149 1.1× 18 0.6× 18 0.8× 29 1.5× 14 371
Sezen Vatansever United States 7 244 1.1× 118 0.9× 13 0.4× 28 1.2× 66 3.5× 11 449
Steven Shave United Kingdom 12 201 0.9× 75 0.6× 10 0.3× 66 2.9× 31 1.6× 25 326
Wilco Fleuren Netherlands 8 211 1.0× 59 0.5× 62 2.1× 32 1.4× 11 0.6× 10 373
Linkai Mou China 6 269 1.2× 134 1.0× 6 0.2× 22 1.0× 23 1.2× 11 309
Joachim von Eichborn Germany 7 336 1.5× 274 2.1× 12 0.4× 18 0.8× 30 1.6× 8 423
Solène Grosdidier Spain 12 370 1.7× 135 1.0× 61 2.0× 13 0.6× 99 5.2× 15 535
Niclas Tue Hansen Denmark 6 252 1.1× 80 0.6× 88 2.9× 23 1.0× 29 1.5× 7 389
Harrison J. Hocker United States 5 302 1.4× 64 0.5× 10 0.3× 41 1.8× 45 2.4× 7 351

Countries citing papers authored by Timothy Sheils

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Sheils

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Sheils

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy Sheils. A scholar is included among the top collaborators of Timothy Sheils 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 Timothy Sheils. Timothy Sheils is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Metzger, Vincent T., Daniel C. Cannon, Jeremy J. Yang, et al.. (2024). TIN-X version 3: update with expanded dataset and modernized architecture for enhanced illumination of understudied targets. PeerJ. 12. e17470–e17470. 1 indexed citations
2.
Oprea, Tudor I., Cristian Bologa, Jayme Holmes, et al.. (2024). Overview of the Knowledge Management Center for Illuminating the Druggable Genome. Drug Discovery Today. 29(3). 103882–103882. 5 indexed citations
3.
4.
Kelleher, Keith J., Timothy Sheils, Stephen L. Mathias, et al.. (2022). Pharos 2023: an integrated resource for the understudied human proteome. Nucleic Acids Research. 51(D1). D1405–D1416. 50 indexed citations
5.
Kropiwnicki, Eryk, Jessica Binder, Jeremy J. Yang, et al.. (2022). Getting Started with the IDG KMC Datasets and Tools. Current Protocols. 2(1). e355–e355. 8 indexed citations
6.
Siramshetty, Vishal B., Ivan Grishagin, Ðắc-Trung Nguyễn, et al.. (2021). NCATS Inxight Drugs: a comprehensive and curated portal for translational research. Nucleic Acids Research. 50(D1). D1307–D1316. 36 indexed citations
7.
Zhu, Qian, Ðắc-Trung Nguyễn, Timothy Sheils, et al.. (2021). Scientific evidence based rare disease research discovery with research funding data in knowledge graph. Orphanet Journal of Rare Diseases. 16(1). 483–483. 11 indexed citations
8.
Sheils, Timothy, Stephen L. Mathias, Keith J. Kelleher, et al.. (2020). TCRD and Pharos 2021: mining the human proteome for disease biology. Nucleic Acids Research. 49(D1). D1334–D1346. 90 indexed citations
9.
Zahoránszky-Köhalmi, Gergely, Timothy Sheils, & Tudor I. Oprea. (2020). SmartGraph: a network pharmacology investigation platform. Journal of Cheminformatics. 12(1). 5–5. 18 indexed citations
10.
Sheils, Timothy, Stephen L. Mathias, Vishal B. Siramshetty, et al.. (2020). How to Illuminate the Druggable Genome Using Pharos. Current Protocols in Bioinformatics. 69(1). e92–e92. 25 indexed citations
11.
Zakharov, Alexey, Tongan Zhao, Ðắc-Trung Nguyễn, et al.. (2019). Novel Consensus Architecture To Improve Performance of Large-Scale Multitask Deep Learning QSAR Models. Journal of Chemical Information and Modeling. 59(11). 4613–4624. 47 indexed citations
12.

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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2026