Joshua K. Thackray

37 total papers · 1.1k total citations
15 papers, 576 citations indexed

About

Joshua K. Thackray is a scholar working on Molecular Biology, Oncology and Geriatrics and Gerontology. According to data from OpenAlex, Joshua K. Thackray has authored 15 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Geriatrics and Gerontology. Recurrent topics in Joshua K. Thackray's work include Sirtuins and Resveratrol in Medicine (4 papers), PARP inhibition in cancer therapy (2 papers) and Pain Mechanisms and Treatments (2 papers). Joshua K. Thackray is often cited by papers focused on Sirtuins and Resveratrol in Medicine (4 papers), PARP inhibition in cancer therapy (2 papers) and Pain Mechanisms and Treatments (2 papers). Joshua K. Thackray collaborates with scholars based in United States, Spain and Germany. Joshua K. Thackray's co-authors include Lourdes Serrano, Berta N. Vázquez, Alejandro Vaquero, Noriko Kane‐Goldsmith, Jay A. Tischfield, Nicolás G. Simonet, Samuel F. Bunting, Paloma Martínez‐Redondo, Trang Nguyen and Michael P. Verzi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Joshua K. Thackray

15 papers receiving 569 citations

Author Peers

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

Author Last Decade Papers Cites
Joshua K. Thackray 291 214 130 111 99 15 576
Kanako Moritoh 216 0.7× 111 0.5× 165 1.3× 104 0.9× 141 1.4× 15 656
Alexandra Wolf 230 0.8× 126 0.6× 114 0.9× 136 1.2× 64 0.6× 14 546
Olivera Grubisha 230 0.8× 135 0.6× 68 0.5× 132 1.2× 84 0.8× 15 628
Brett S. Peterson 311 1.1× 293 1.4× 62 0.5× 205 1.8× 187 1.9× 14 695
Morten Dall 181 0.6× 131 0.6× 67 0.5× 165 1.5× 163 1.6× 18 514
Sarallah Rezazadeh 359 1.2× 141 0.7× 78 0.6× 160 1.4× 80 0.8× 9 538
Kushal K. Banerjee 226 0.8× 177 0.8× 51 0.4× 99 0.9× 144 1.5× 21 497
Qiuhong Shen 405 1.4× 73 0.3× 67 0.5× 280 2.5× 54 0.5× 13 669
James Boslett 172 0.6× 180 0.8× 122 0.9× 79 0.7× 150 1.5× 16 676
Uyen Lao 316 1.1× 90 0.4× 36 0.3× 113 1.0× 39 0.4× 16 527

Countries citing papers authored by Joshua K. Thackray

Since Specialization
Citations

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

Fields of papers citing papers by Joshua K. Thackray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua K. Thackray. 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 Joshua K. Thackray. The network helps show where Joshua K. Thackray may publish in the future.

Co-authorship network of co-authors of Joshua K. Thackray

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua K. Thackray. A scholar is included among the top collaborators of Joshua K. Thackray 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 Joshua K. Thackray. Joshua K. Thackray 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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