Tom Buckley

1.9k total citations
11 papers, 390 citations indexed

About

Tom Buckley is a scholar working on Spectroscopy, Endocrinology, Diabetes and Metabolism and Food Science. According to data from OpenAlex, Tom Buckley has authored 11 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Spectroscopy, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Food Science. Recurrent topics in Tom Buckley's work include Hormonal and reproductive studies (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Pesticide Residue Analysis and Safety (2 papers). Tom Buckley is often cited by papers focused on Hormonal and reproductive studies (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Pesticide Residue Analysis and Safety (2 papers). Tom Buckley collaborates with scholars based in Ireland, United Kingdom and Netherlands. Tom Buckley's co-authors include Maria T. C. Runnegar, Ian R. Falconer, Mark Mooney, Peter Bradshaw, Alan Jackson, Alain A. Ocampo-Sosa, José A. Vázquez‐Boland, Julian Parkhill, Michal Letek and Wim G. Meijer and has published in prestigious journals such as Journal of Bacteriology, Journal of Chromatography A and Analytica Chimica Acta.

In The Last Decade

Tom Buckley

11 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Buckley Ireland 9 165 75 74 72 60 11 390
Antoine Huguet France 12 103 0.6× 88 1.2× 44 0.6× 25 0.3× 35 0.6× 29 329
Janet Crowley United States 9 172 1.0× 54 0.7× 81 1.1× 45 0.6× 40 0.7× 11 338
Stephen R. Missler United States 12 87 0.5× 114 1.5× 55 0.7× 22 0.3× 50 0.8× 19 595
Shilpa Sood India 12 52 0.3× 123 1.6× 141 1.9× 26 0.4× 6 0.1× 44 513
L. L. Hall United States 14 116 0.7× 75 1.0× 24 0.3× 8 0.1× 31 0.5× 26 691
SK Sharma India 10 70 0.4× 88 1.2× 12 0.2× 25 0.3× 7 0.1× 28 332
Masahiro Matsuda Japan 10 27 0.2× 72 1.0× 29 0.4× 21 0.3× 15 0.3× 27 361
David L. Bunner United States 9 292 1.8× 95 1.3× 157 2.1× 7 0.1× 151 2.5× 20 584
Marijke J. Wagner Netherlands 17 26 0.2× 429 5.7× 7 0.1× 121 1.7× 28 0.5× 22 777
Allison K. Stewart United States 13 28 0.2× 281 3.7× 17 0.2× 97 1.3× 8 0.1× 19 557

Countries citing papers authored by Tom Buckley

Since Specialization
Citations

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

Fields of papers citing papers by Tom Buckley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Buckley

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

All Works

11 of 11 papers shown
1.
Godley, Andrew, et al.. (2025). Techno-nationalism and capability development in the global pharmaceuticals industry, 1918–1970. Journal of International Business Policy. 8(2). 155–171. 1 indexed citations
2.
Buckley, Tom, et al.. (2020). Investigation of stability of selective androgen receptor modulators in urine. Food Additives & Contaminants Part A. 37(8). 1253–1263. 8 indexed citations
3.
Botrè, Francesco, et al.. (2020). Enhanced UHPLC-MS/MS screening of selective androgen receptor modulators following urine hydrolysis. MethodsX. 7. 100926–100926. 14 indexed citations
4.
Buckley, Tom, et al.. (2020). Development of a multi‐residue high‐throughput UHPLC–MS/MS method for routine monitoring of SARM compounds in equine and bovine blood. Drug Testing and Analysis. 12(9). 1373–1379. 19 indexed citations
6.
Mooney, Mark, et al.. (2016). Impact of storage conditions on the urinary metabolomics fingerprint. Analytica Chimica Acta. 951. 99–107. 43 indexed citations
7.
Buckley, Tom, et al.. (2013). Lineages of Streptococcus equi ssp. equi in the Irish equine industry. Irish Veterinary Journal. 66(1). 10–10. 7 indexed citations
8.
Letek, Michal, Alain A. Ocampo-Sosa, Mandy Sanders, et al.. (2008). Evolution of theRhodococcus equi vapPathogenicity Island Seen through Comparison of Host-AssociatedvapAandvapBVirulence Plasmids. Journal of Bacteriology. 190(17). 5797–5805. 82 indexed citations
9.
Falconer, Ian R., et al.. (1989). Using Activated Carbon to Remove Toxicity From Drinking Water Containing Cyanobacterial Blooms. American Water Works Association. 81(2). 102–105. 83 indexed citations
10.
Falconer, Ian R., Tom Buckley, & Maria T. C. Runnegar. (1986). Biological Half-Life, Organ Distribution and Excretion of 125I-labelled Toxic Peptide from the Blue-green Alga Microcystis aeruginosa. Australian Journal of Biological Sciences. 39(1). 17–22. 63 indexed citations
11.
Runnegar, Maria T. C., Ian R. Falconer, Tom Buckley, & Alan Jackson. (1986). Lethal potency and tissue distribution of 125I-labelled toxic peptides from the blue-green alga Microcystis aeruginosa. Toxicon. 24(5). 506–509. 40 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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