Tim Regan

5.6k total citations
92 papers, 3.1k citations indexed

About

Tim Regan is a scholar working on Human-Computer Interaction, Sociology and Political Science and Oncology. According to data from OpenAlex, Tim Regan has authored 92 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Human-Computer Interaction, 22 papers in Sociology and Political Science and 10 papers in Oncology. Recurrent topics in Tim Regan's work include Innovative Human-Technology Interaction (22 papers), Interactive and Immersive Displays (13 papers) and Multimedia Communication and Technology (9 papers). Tim Regan is often cited by papers focused on Innovative Human-Technology Interaction (22 papers), Interactive and Immersive Displays (13 papers) and Multimedia Communication and Technology (9 papers). Tim Regan collaborates with scholars based in United Kingdom, United States and Australia. Tim Regan's co-authors include Matthew Hennessy, Sylvie Lambert, Brian Kelly, Abigail Sellen, Richard Banks, Siân Lindley, Alex Taylor, Jane Turner, Afaf Girgis and Karen Kayser and has published in prestigious journals such as Nature Communications, Bioinformatics and The Journal of Immunology.

In The Last Decade

Tim Regan

87 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Regan United Kingdom 31 810 551 423 375 326 92 3.1k
David H. Nguyen United States 32 578 0.7× 308 0.6× 378 0.9× 93 0.2× 576 1.8× 95 3.2k
Andrew Miller United States 24 545 0.7× 537 1.0× 23 0.1× 364 1.0× 261 0.8× 91 3.0k
David R. Kaufman United States 36 192 0.2× 280 0.5× 2.2k 5.3× 1.2k 3.1× 1.2k 3.5× 176 7.2k
Alison Lee United States 31 138 0.2× 150 0.3× 110 0.3× 292 0.8× 1.1k 3.2× 97 3.5k
John V. Carlis United States 27 198 0.2× 192 0.3× 119 0.3× 55 0.1× 836 2.6× 90 4.9k
Michel Klein Netherlands 35 92 0.1× 171 0.3× 89 0.2× 268 0.7× 853 2.6× 185 4.6k
Jyh‐Chong Liang Taiwan 36 1.1k 1.3× 470 0.9× 29 0.1× 199 0.5× 143 0.4× 122 5.8k
Harry Hochheiser United States 24 395 0.5× 242 0.4× 37 0.1× 191 0.5× 460 1.4× 112 2.5k
Peter Gregor United Kingdom 27 627 0.8× 226 0.4× 33 0.1× 325 0.9× 271 0.8× 81 2.7k
Richard R. Sharp United States 35 68 0.1× 316 0.6× 213 0.5× 698 1.9× 536 1.6× 198 4.5k

Countries citing papers authored by Tim Regan

Since Specialization
Citations

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

Fields of papers citing papers by Tim Regan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Regan

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

All Works

20 of 20 papers shown
1.
Chien, Isabel, Tim Regan, Ángel Enrique, et al.. (2023). Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety. PLoS ONE. 18(11). e0272685–e0272685. 4 indexed citations
2.
Gundappa, Manu Kumar, Carolina Peñaloza, Tim Regan, et al.. (2022). Chromosome‐level reference genome for European flat oyster ( Ostrea edulis L.). Evolutionary Applications. 15(11). 1713–1729. 20 indexed citations
3.
Wang, Bo, Andy Law, Tim Regan, et al.. (2022). Systematic comparison of ranking aggregation methods for gene lists in experimental results. Bioinformatics. 38(21). 4927–4933. 6 indexed citations
4.
Freeman, Tom C., et al.. (2022). Graphia: A platform for the graph-based visualisation and analysis of high dimensional data. PLoS Computational Biology. 18(7). e1010310–e1010310. 46 indexed citations
5.
Gutiérrez, Alejandro P., et al.. (2021). Potential of genomic technologies to improve disease resistance in molluscan aquaculture. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1825). 20200168–20200168. 2 indexed citations
6.
Regan, Tim, Tim P. Bean, Tim Ellis, et al.. (2021). Genetic improvement technologies to support the sustainable growth of UK aquaculture. Reviews in Aquaculture. 13(4). 1958–1985. 42 indexed citations
7.
Nirmal, Ajit J., Tim Regan, Barbara Shih, et al.. (2018). Immune Cell Gene Signatures for Profiling the Microenvironment of Solid Tumors. Cancer Immunology Research. 6(11). 1388–1400. 135 indexed citations
8.
Giotti, Bruno, Mark Barnett, Tim Regan, et al.. (2018). Assembly of a parts list of the human mitotic cell cycle machinery. Journal of Molecular Cell Biology. 11(8). 703–718. 55 indexed citations
9.
Regan, Tim, Mark Barnett, Dominik R. Laetsch, et al.. (2018). Characterisation of the British honey bee metagenome. Nature Communications. 9(1). 4995–4995. 53 indexed citations
10.
Regan, Tim, Andrew C. Gill, Sara Clohisey, et al.. (2018). Effects of anti-inflammatory drugs on the expression of tryptophan-metabolism genes by human macrophages. Journal of Leukocyte Biology. 103(4). 681–692. 22 indexed citations
11.
Clinton‐McHarg, Tara, Lisa Janssen, Tessa Delaney, et al.. (2018). Availability of food and beverage items on school canteen menus and association with items purchased by children of primary-school age. Public Health Nutrition. 21(15). 2907–2914. 27 indexed citations
12.
Lindley, Siân, Anja Thieme, Alex Taylor, et al.. (2017). Surfacing Small Worlds through Data-In-Place. Computer Supported Cooperative Work (CSCW). 26(1-2). 135–163. 23 indexed citations
13.
Bryant, Jamie, Mariko Carey, Rob Sanson‐Fisher, et al.. (2015). Missed opportunities: general practitioner identification of their patients’ smoking status. BMC Family Practice. 16(1). 8–8. 10 indexed citations
14.
Odom, William, Abigail Sellen, Richard Banks, et al.. (2014). Designing for slowness, anticipation and re-visitation. Human Factors in Computing Systems. 3 indexed citations
15.
Blackwell, Alan F., et al.. (2011). A Principled Approach to Developing New Languages for Live Coding. New Interfaces for Musical Expression. 381–386. 11 indexed citations
16.
Timmer, John C., Wenhong Zhu, Cristina Pop, et al.. (2009). Structural and kinetic determinants of protease substrates. Nature Structural & Molecular Biology. 16(10). 1101–1108. 109 indexed citations
17.
Drucker, Steven M., et al.. (2005). The Visual Decision Maker: a recommendation system for collocated users. 21. 4 indexed citations
18.
Axelsson, Ann‐Sofie & Tim Regan. (2004). How Belonging to an Online Group Affects Social Behavior A Case Study of Asheron's Call. Chalmers Publication Library (Chalmers University of Technology). 9. 14 indexed citations
19.
Czerwinski, Mary, et al.. (2003). Toward Characterizing the Productivity Benefits of Very Large Displays. International Conference on Human-Computer Interaction. 155 indexed citations
20.
Hennessy, Matthew & Tim Regan. (1990). A Temporal Process Algebra. OpenGrey (Institut de l'Information Scientifique et Technique). 33–48. 46 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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