Joseph E Tym

585 total citations
8 papers, 379 citations indexed

About

Joseph E Tym is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Joseph E Tym has authored 8 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 4 papers in Pharmacology. Recurrent topics in Joseph E Tym's work include Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (5 papers) and Microbial Natural Products and Biosynthesis (4 papers). Joseph E Tym is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (5 papers) and Microbial Natural Products and Biosynthesis (4 papers). Joseph E Tym collaborates with scholars based in United Kingdom and United States. Joseph E Tym's co-authors include Bissan Al‐Lazikani, Paul Workman, Elizabeth A. Coker, Albert A. Antolín, Amanda C. Schierz, Costas Mitsopoulos, Mark Halling‐Brown, Mishal Patel, Krishna C. Bulusu and Ian Collins and has published in prestigious journals such as Nucleic Acids Research, Nature Reviews Drug Discovery and Cell chemical biology.

In The Last Decade

Joseph E Tym

8 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph E Tym United Kingdom 6 293 141 70 58 45 8 379
Elizabeth A. Coker United Kingdom 7 286 1.0× 108 0.8× 76 1.1× 101 1.7× 16 0.4× 13 385
Scott Bowes United States 7 245 0.8× 76 0.5× 89 1.3× 67 1.2× 30 0.7× 8 373
Aliyu Musa Finland 9 330 1.1× 139 1.0× 66 0.9× 68 1.2× 53 1.2× 16 495
Kyle D. Konze United States 8 539 1.8× 107 0.8× 56 0.8× 36 0.6× 34 0.8× 10 613
Matteo Rossi Sebastiano Italy 14 460 1.6× 78 0.6× 126 1.8× 143 2.5× 58 1.3× 21 610
Attilla Ting United Kingdom 13 267 0.9× 58 0.4× 92 1.3× 164 2.8× 100 2.2× 17 467
Henrik Moebitz Switzerland 5 325 1.1× 58 0.4× 28 0.4× 119 2.1× 105 2.3× 8 441
Da-Qiang Li China 11 334 1.1× 41 0.3× 44 0.6× 139 2.4× 44 1.0× 19 425
Vivek Modi United States 9 494 1.7× 156 1.1× 24 0.3× 98 1.7× 74 1.6× 12 643
Deborah Moshinsky United States 11 270 0.9× 59 0.4× 31 0.4× 166 2.9× 31 0.7× 14 431

Countries citing papers authored by Joseph E Tym

Since Specialization
Citations

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

Fields of papers citing papers by Joseph E Tym

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph E Tym. 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 Joseph E Tym. The network helps show where Joseph E Tym may publish in the future.

Co-authorship network of co-authors of Joseph E Tym

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

All Works

8 of 8 papers shown
1.
Jiang, Chunjie, Li Zhao, Joseph E Tym, et al.. (2024). canSAR 2024—an update to the public drug discovery knowledgebase. Nucleic Acids Research. 53(D1). D1287–D1294. 2 indexed citations
2.
Micco, Patrizio Di, Albert A. Antolín, Costas Mitsopoulos, et al.. (2022). canSAR: update to the cancer translational research and drug discovery knowledgebase. Nucleic Acids Research. 51(D1). D1212–D1219. 19 indexed citations
3.
Mitsopoulos, Costas, Patrizio Di Micco, Daniela Dolciami, et al.. (2020). canSAR: update to the cancer translational research and drug discovery knowledgebase. Nucleic Acids Research. 49(D1). D1074–D1082. 64 indexed citations
4.
Kinnersley, Ben, Amit Sud, Elizabeth A. Coker, et al.. (2018). Leveraging Human Genetics to Guide Cancer Drug Development. JCO Clinical Cancer Informatics. 2(2). 1–11. 4 indexed citations
5.
Antolín, Albert A., et al.. (2017). Objective, Quantitative, Data-Driven Assessment of Chemical Probes. Cell chemical biology. 25(2). 194–205.e5. 51 indexed citations
6.
Tym, Joseph E, Costas Mitsopoulos, Elizabeth A. Coker, et al.. (2015). canSAR: an updated cancer research and drug discovery knowledgebase. Nucleic Acids Research. 44(D1). D938–D943. 98 indexed citations
7.
Bulusu, Krishna C., Joseph E Tym, Elizabeth A. Coker, Amanda C. Schierz, & Bissan Al‐Lazikani. (2013). canSAR: updated cancer research and drug discovery knowledgebase. Nucleic Acids Research. 42(D1). D1040–D1047. 51 indexed citations
8.
Patel, Mishal, Mark Halling‐Brown, Joseph E Tym, Paul Workman, & Bissan Al‐Lazikani. (2012). Objective assessment of cancer genes for drug discovery. Nature Reviews Drug Discovery. 12(1). 35–50. 90 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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