Ben Day

630 total citations
5 papers, 302 citations indexed

About

Ben Day is a scholar working on Molecular Biology, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ben Day has authored 5 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Ben Day's work include Protein Structure and Dynamics (2 papers), Bioinformatics and Genomic Networks (2 papers) and Computational Drug Discovery Methods (2 papers). Ben Day is often cited by papers focused on Protein Structure and Dynamics (2 papers), Bioinformatics and Genomic Networks (2 papers) and Computational Drug Discovery Methods (2 papers). Ben Day collaborates with scholars based in United Kingdom, Canada and United States. Ben Day's co-authors include Píetro Lió, Philip B. Meggs, Rob Carter, Cristian Bodnar, Arian R. Jamasb, Tom L. Blundell, Jake P. Taylor‐King, Michael M. Bronstein, Richard Vickers and Jyothish Soman and has published in prestigious journals such as Briefings in Bioinformatics, Methods in molecular biology and Physical Review.

In The Last Decade

Ben Day

5 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ben Day United Kingdom	5	91	82	82	46	45	5	302
Adam Gonczarek Poland	9	67 0.7×	115 1.4×	23 0.3×	14 0.3×	63 1.4×	25	267
D. Chen United States	5	29 0.3×	28 0.3×	39 0.5×	9 0.2×	32 0.7×	8	554
Aleš Křenek Czechia	7	33 0.4×	59 0.7×	19 0.2×	15 0.3×	33 0.7×	35	345
Christopher T. Symons United States	11	84 0.9×	41 0.5×	82 1.0×	52 1.1×	61 1.4×	23	345
Blake G. Fitch United States	11	26 0.3×	231 2.8×	23 0.3×	80 1.7×	79 1.8×	22	434
Joshua Job United States	6	127 1.4×	19 0.2×	561 6.8×	231 5.0×	31 0.7×	10	650
Peter R. Cromwell United Kingdom	13	134 1.5×	34 0.4×	14 0.2×	15 0.3×	75 1.7×	33	586
Sadaf R. Alam United States	14	24 0.3×	49 0.6×	38 0.5×	15 0.3×	16 0.4×	52	594
Vicky Choi United States	9	120 1.3×	52 0.6×	321 3.9×	120 2.6×	15 0.3×	14	395

Countries citing papers authored by Ben Day

Since Specialization

Citations

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

Fields of papers citing papers by Ben Day

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Day

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

All Works

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5 of 5 papers shown

1.

Jamasb, Arian R., Ben Day, Cătălina Cangea, Píetro Lió, & Tom L. Blundell. (2021). Deep Learning for Protein–Protein Interaction Site Prediction. Methods in molecular biology. 2361. 263–288. 12 indexed citations

2.

Day, Ben, Arian R. Jamasb, Jyothish Soman, et al.. (2021). Utilizing graph machine learning within drug discovery and development. Briefings in Bioinformatics. 22(6). 154 indexed citations

3.

Bodnar, Cristian, Ben Day, & Píetro Lió. (2020). Proximal Distilled Evolutionary Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 3283–3290. 38 indexed citations

4.

Carter, Rob, Ben Day, & Philip B. Meggs. (1985). Typographic Design: Form and Communication. CERN Document Server (European Organization for Nuclear Research). 44 indexed citations

5.

Day, Ben. (1966). Improved Solution to the Bethe-Faddeev Equations. Physical Review. 151(3). 826–829. 54 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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