John D. Holliday

2.0k total citations
61 papers, 1.4k citations indexed

About

John D. Holliday is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, John D. Holliday has authored 61 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computational Theory and Mathematics, 23 papers in Molecular Biology and 18 papers in Spectroscopy. Recurrent topics in John D. Holliday's work include Computational Drug Discovery Methods (40 papers), Analytical Chemistry and Chromatography (18 papers) and History and advancements in chemistry (13 papers). John D. Holliday is often cited by papers focused on Computational Drug Discovery Methods (40 papers), Analytical Chemistry and Chromatography (18 papers) and History and advancements in chemistry (13 papers). John D. Holliday collaborates with scholars based in United Kingdom, United States and Malaysia. John D. Holliday's co-authors include Peter Willett, Valerie J. Gillet, Geoffrey M. Downs, Naomie Salim, Michael Lynch, Maciej Harańczyk, Martin Whittle, Hua Xiang, Massimo Buscema and Viviana Consonni and has published in prestigious journals such as Journal of Computational Chemistry, Drug Discovery Today and Bioorganic & Medicinal Chemistry.

In The Last Decade

John D. Holliday

57 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John D. Holliday United Kingdom 22 1.0k 685 364 214 147 61 1.4k
Geoffrey M. Downs United Kingdom 12 1.4k 1.3× 981 1.4× 398 1.1× 266 1.2× 146 1.0× 17 1.8k
Burton A. Leland United States 7 1.3k 1.2× 965 1.4× 264 0.7× 518 2.4× 85 0.6× 10 1.7k
Ajay United States 11 799 0.8× 983 1.4× 246 0.7× 164 0.8× 58 0.4× 13 1.7k
John M. Barnard United Kingdom 16 1.6k 1.5× 1.1k 1.6× 500 1.4× 322 1.5× 205 1.4× 33 2.2k
Simon K. Kearsley United States 16 1.2k 1.1× 1.2k 1.7× 321 0.9× 455 2.1× 86 0.6× 28 1.9k
A. Peter Johnson United Kingdom 20 775 0.7× 715 1.0× 138 0.4× 339 1.6× 74 0.5× 43 1.5k
Ruud van Deursen Switzerland 18 1.2k 1.1× 894 1.3× 226 0.6× 791 3.7× 145 1.0× 22 1.9k
James G. Nourse United States 15 1.4k 1.3× 1.1k 1.6× 476 1.3× 547 2.6× 162 1.1× 28 2.1k
Uli Fechner Germany 13 951 0.9× 862 1.3× 192 0.5× 267 1.2× 32 0.2× 18 1.5k
Stephen R. Heller United States 19 571 0.5× 1.2k 1.7× 531 1.5× 457 2.1× 174 1.2× 84 3.1k

Countries citing papers authored by John D. Holliday

Since Specialization
Citations

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

Fields of papers citing papers by John D. Holliday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Holliday. 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 John D. Holliday. The network helps show where John D. Holliday may publish in the future.

Co-authorship network of co-authors of John D. Holliday

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Holliday. A scholar is included among the top collaborators of John D. Holliday 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 John D. Holliday. John D. Holliday 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.
Porta, Núria, et al.. (2016). Molecular similarity considerations in the licensing of orphan drugs. Drug Discovery Today. 22(2). 377–381. 8 indexed citations
2.
Gillet, Valerie J., John D. Holliday, & Peter Willett. (2015). Chemoinformatics at the University of Sheffield 2002–2014. Molecular Informatics. 34(9). 598–607. 4 indexed citations
3.
Porta, Núria, et al.. (2014). The use of 2D fingerprint methods to support the assessment of structural similarity in orphan drug legislation. Journal of Cheminformatics. 6(1). 5–5. 22 indexed citations
4.
Holliday, John D., et al.. (2012). Combining multiple classifications of chemical structures using consensus clustering. Bioorganic & Medicinal Chemistry. 20(18). 5366–5371. 16 indexed citations
5.
Holliday, John D., Evangelos Kanoulas, Nurul Hashimah Ahamed Hassain Malim, & Peter Willett. (2011). Multiple search methods for similarity-based virtual screening: analysis of search overlap and precision. Journal of Cheminformatics. 3(1). 29–29. 23 indexed citations
6.
Holliday, John D., et al.. (2009). Analysis and use of fragment-occurrence data in similarity-based virtual screening. Journal of Computer-Aided Molecular Design. 23(9). 655–668. 25 indexed citations
7.
Harańczyk, Maciej, et al.. (2009). Comparison of Nonbinary Similarity Coefficients for Similarity Searching, Clustering and Compound Selection. Journal of Chemical Information and Modeling. 49(5). 1193–1201. 42 indexed citations
8.
Holliday, John D. & Peter Willett. (2008). The influence of the DARC project on chemoinformatics research at the University of Sheffield. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 45–50. 1 indexed citations
9.
Harańczyk, Maciej & John D. Holliday. (2008). Comparison of Similarity Coefficients for Clustering and Compound Selection. Journal of Chemical Information and Modeling. 48(3). 498–508. 28 indexed citations
10.
Holliday, John D., et al.. (2008). Effect of Data Standardization on Chemical Clustering and Similarity Searching. Journal of Chemical Information and Modeling. 49(2). 155–161. 21 indexed citations
11.
Harańczyk, Maciej, John D. Holliday, Peter Willett, & Maciej Gutowski. (2007). Structure and singly occupied molecular orbital analysis of anionic tautomers of guanine. Journal of Computational Chemistry. 29(8). 1277–1291. 2 indexed citations
12.
Thompson, Sarah, Channa K. Hattotuwagama, John D. Holliday, & Darren R. Flower. (2006). On the hydrophobicity of peptides: Comparing empirical predictions of peptide log P values. Bioinformation. 1(7). 237–241. 23 indexed citations
13.
Holliday, John D., et al.. (2004). Clustering Files of Chemical Structures Using the Fuzzyk-Means Clustering Method. Journal of Chemical Information and Computer Sciences. 44(3). 894–902. 35 indexed citations
14.
Gillet, Valerie J., et al.. (2003). Chemoinformatics Research at the University of Sheffield: A History and Citation Analysis. Journal of Information Science. 29(4). 249–267. 15 indexed citations
15.
Ashton, Mark, John M. Barnard, Florence Casset, et al.. (2002). Identification of Diverse Database Subsets using Property‐Based and Fragment‐Based Molecular Descriptions. Quantitative Structure-Activity Relationships. 21(6). 598–604. 67 indexed citations
16.
Holliday, John D., et al.. (2000). Effectiveness of retrieval in similarity searches of chemical databases: a review of performance measures. Journal of Molecular Graphics and Modelling. 18(4-5). 343–357. 52 indexed citations
17.
Gardiner, Eleanor J., John D. Holliday, Peter Willett, David J. Wilton, & Peter J. Artymiuk. (1998). Selection of reagents for combinatorial synthesis using clique detection. Quantitative Structure-Activity Relationships. 17(3). 232–236. 5 indexed citations
18.
Holliday, John D. & Peter Willett. (1997). Using a Genetic Algorithm to Identify Common Structural Features in Sets of Ligands. Journal of Molecular Graphics and Modelling. 15(4). 221–232. 16 indexed citations
19.
Holliday, John D., et al.. (1995). Computer Storage and Retrieval of Generic Chemical Structures in Patents. 17. Evaluation of the Refined Search. Journal of Chemical Information and Computer Sciences. 35(4). 659–662. 3 indexed citations
20.
Downs, Geoffrey M., Valerie J. Gillet, John D. Holliday, & Michael Lynch. (1989). Computer storage and retrieval of generic chemical structures in patents. 10. Assignment and logical bubble-up of ring screens for structurally explicit generics. Journal of Chemical Information and Computer Sciences. 29(3). 215–224. 12 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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