Thomas P. Farrell

30 total papers · 543 total citations
15 papers, 442 citations indexed

About

Thomas P. Farrell is a scholar working on Pharmaceutical Science, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Thomas P. Farrell has authored 15 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmaceutical Science, 6 papers in Analytical Chemistry and 6 papers in Biomedical Engineering. Recurrent topics in Thomas P. Farrell's work include Drug Solubulity and Delivery Systems (6 papers), Dye analysis and toxicity (4 papers) and Consumer Attitudes and Food Labeling (3 papers). Thomas P. Farrell is often cited by papers focused on Drug Solubulity and Delivery Systems (6 papers), Dye analysis and toxicity (4 papers) and Consumer Attitudes and Food Labeling (3 papers). Thomas P. Farrell collaborates with scholars based in United States, China and Iran. Thomas P. Farrell's co-authors include Richard B. Kaner, Gregory R. Guillen, Eric M.V. Hoek, Ali R. Rajabi‐Siahboomi, John T. Groves, Sachin Bhusari, Maria Bastaki, Matteo Cerea, James W. McGinity and Rohan Kulkarni and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Materials Chemistry and Polymer.

In The Last Decade

Thomas P. Farrell

15 papers receiving 427 citations

Author Peers

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

Author Last Decade Papers Cites
Thomas P. Farrell 159 124 82 71 68 15 442
Wei Hu 192 1.2× 84 0.7× 109 1.3× 45 0.6× 34 0.5× 28 444
Fatma Kurşun Baysak 113 0.7× 100 0.8× 62 0.8× 60 0.8× 68 1.0× 18 407
Ilaria Silvestro 111 0.7× 74 0.6× 47 0.6× 32 0.5× 33 0.5× 12 414
Jatupol Junthip 88 0.6× 65 0.5× 44 0.5× 54 0.8× 47 0.7× 19 376
Peethambaran L. Divya 80 0.5× 123 1.0× 77 0.9× 74 1.0× 24 0.4× 9 432
Jayachandran Nima 83 0.5× 158 1.3× 87 1.1× 59 0.8× 29 0.4× 9 456
Gilsinei M. Campese 139 0.9× 164 1.3× 61 0.7× 27 0.4× 97 1.4× 10 493
Ozi Adi Saputra 119 0.7× 79 0.6× 98 1.2× 16 0.2× 54 0.8× 37 430
Heba M. Abdallah 109 0.7× 133 1.1× 91 1.1× 26 0.4× 70 1.0× 19 446
Maha A. Youssef 83 0.5× 87 0.7× 98 1.2× 14 0.2× 37 0.5× 23 374

Countries citing papers authored by Thomas P. Farrell

Since Specialization
Citations

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

Fields of papers citing papers by Thomas P. Farrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas P. Farrell. 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 Thomas P. Farrell. The network helps show where Thomas P. Farrell may publish in the future.

Co-authorship network of co-authors of Thomas P. Farrell

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas P. Farrell. A scholar is included among the top collaborators of Thomas P. Farrell 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 Thomas P. Farrell. Thomas P. Farrell 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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