Steve O’Hagan

3.0k total citations · 1 hit paper
36 papers, 1.8k citations indexed

About

Steve O’Hagan is a scholar working on Molecular Biology, Spectroscopy and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Steve O’Hagan has authored 36 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Spectroscopy and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Steve O’Hagan's work include Metabolomics and Mass Spectrometry Studies (11 papers), Analytical Chemistry and Chromatography (8 papers) and Computational Drug Discovery Methods (8 papers). Steve O’Hagan is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (11 papers), Analytical Chemistry and Chromatography (8 papers) and Computational Drug Discovery Methods (8 papers). Steve O’Hagan collaborates with scholars based in United Kingdom, Denmark and Sweden. Steve O’Hagan's co-authors include Douglas B. Kell, Warwick B. Dunn, Joshua Knowles, M. Missous, David Broadhurst, David I. Ellis, Royston Goodacre, Sue Francis‐McIntyre, Ian D. Wilson and Kathleen Carroll and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Steve O’Hagan

36 papers receiving 1.7k citations

Hit Papers

Development of a Robust and Repeatable UPLC−MS Method for... 2009 2026 2014 2020 2009 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Development of a Robust and Repeatable UPLC−MS Method for the Long-Term Metabolomic Study of Human Serum
    2009 540 citations Warwick B. Dunn, David Broadhurst et al. Analytical Chemistry profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve O’Hagan United Kingdom 21 1.0k 357 216 172 139 36 1.8k
James Stevenson United States 17 649 0.6× 143 0.4× 104 0.5× 362 2.1× 117 0.8× 27 1.6k
William Curatolo United States 24 1.4k 1.4× 387 1.1× 93 0.4× 147 0.9× 108 0.8× 37 2.9k
Patrick J. Loll United States 34 2.4k 2.3× 326 0.9× 125 0.6× 234 1.4× 78 0.6× 88 4.5k
Matteo Masetti Italy 24 1.7k 1.7× 162 0.5× 142 0.7× 803 4.7× 138 1.0× 63 2.6k
C.R. Beddell United Kingdom 27 1.6k 1.6× 478 1.3× 144 0.7× 227 1.3× 23 0.2× 57 2.4k
Min Jiang China 31 2.8k 2.7× 186 0.5× 95 0.4× 101 0.6× 50 0.4× 112 4.5k
Gus R. Rosania United States 22 784 0.8× 118 0.3× 225 1.0× 131 0.8× 18 0.1× 68 1.9k
Robert B. Nachbar United States 17 882 0.8× 262 0.7× 56 0.3× 542 3.2× 109 0.8× 41 1.9k
Piotr S. Gromski United Kingdom 16 763 0.7× 179 0.5× 382 1.8× 159 0.9× 12 0.1× 24 1.6k
Antonio Randazzo Italy 41 4.5k 4.3× 239 0.7× 216 1.0× 45 0.3× 56 0.4× 178 5.5k

Countries citing papers authored by Steve O’Hagan

Since Specialization
Citations

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

Fields of papers citing papers by Steve O’Hagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve O’Hagan. 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 Steve O’Hagan. The network helps show where Steve O’Hagan may publish in the future.

Co-authorship network of co-authors of Steve O’Hagan

This figure shows the co-authorship network connecting the top 25 collaborators of Steve O’Hagan. A scholar is included among the top collaborators of Steve O’Hagan 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 Steve O’Hagan. Steve O’Hagan 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.
Hoek, Steven A. van der, Jane Dannow Dyekjær, Hanne Bjerre Christensen, et al.. (2024). Deorphanizing solute carriers in Saccharomyces cerevisiae for secondary uptake of xenobiotic compounds. Frontiers in Microbiology. 15. 1376653–1376653. 1 indexed citations
2.
3.
O’Hagan, Steve & Douglas B. Kell. (2020). Structural Similarities between Some Common Fluorophores Used in Biology, Marketed Drugs, Endogenous Metabolites, and Natural Products. Marine Drugs. 18(11). 582–582. 19 indexed citations
4.
Muelas, Marina Wright, et al.. (2019). The role and robustness of the Gini coefficient as an unbiased tool for the selection of Gini genes for normalising expression profiling data. Scientific Reports. 9(1). 17960–17960. 31 indexed citations
5.
O’Hagan, Steve & Douglas B. Kell. (2019). Generation of a Small Library of Natural Products Designed to Cover Chemical Space Inexpensively. PubMed. 1(1). e190005–e190005. 9 indexed citations
6.
Kell, Douglas B., Marina Wright Muelas, Steve O’Hagan, & Philip J. Day. (2018). The role of drug transporters in phenotypic screening. 4(4). 16–19. 4 indexed citations
7.
O’Hagan, Steve, Marina Wright Muelas, Philip J. Day, Emma Lundberg, & Douglas B. Kell. (2018). GeneGini: Assessment via the Gini Coefficient of Reference “Housekeeping” Genes and Diverse Human Transporter Expression Profiles. Cell Systems. 6(2). 230–244.e1. 50 indexed citations
8.
O’Hagan, Steve & Douglas B. Kell. (2017). Analysis of drug–endogenous human metabolite similarities in terms of their maximum common substructures. Journal of Cheminformatics. 9(1). 18–18. 21 indexed citations
9.
10.
O’Hagan, Steve & Douglas B. Kell. (2016). MetMaxStruct: A Tversky-Similarity-Based Strategy for Analysing the (Sub)Structural Similarities of Drugs and Endogenous Metabolites. Frontiers in Pharmacology. 7. 266–266. 22 indexed citations
11.
O’Hagan, Steve & Douglas B. Kell. (2015). Understanding the foundations of the structural similarities between marketed drugs and endogenous human metabolites. Frontiers in Pharmacology. 6. 105–105. 25 indexed citations
12.
13.
O’Hagan, Steve & Douglas B. Kell. (2015). Software review: the KNIME workflow environment and its applications in genetic programming and machine learning. Genetic Programming and Evolvable Machines. 16(3). 387–391. 28 indexed citations
14.
O’Hagan, Steve, Neil Swainston, Julia Handl, & Douglas B. Kell. (2014). A ‘rule of 0.5’ for the metabolite-likeness of approved pharmaceutical drugs. Metabolomics. 11(2). 323–339. 76 indexed citations
15.
Ellis, David I., David P. Cowcher, Lorna Ashton, Steve O’Hagan, & Royston Goodacre. (2013). Illuminating disease and enlightening biomedicine: Raman spectroscopy as a diagnostic tool. The Analyst. 138(14). 3871–3871. 154 indexed citations
16.
O’Hagan, Steve, Joshua Knowles, & Douglas B. Kell. (2012). Exploiting Genomic Knowledge in Optimising Molecular Breeding Programmes: Algorithms from Evolutionary Computing. PLoS ONE. 7(11). e48862–e48862. 12 indexed citations
17.
Dunn, Warwick B., David Broadhurst, Sue Francis‐McIntyre, et al.. (2009). Development of a Robust and Repeatable UPLC−MS Method for the Long-Term Metabolomic Study of Human Serum. Analytical Chemistry. 81(4). 1357–1364. 540 indexed citations breakdown →
18.
Brown, Marie, Royston Goodacre, Julia Handl, et al.. (2005). A metabolome pipeline: from concept to data to knowledge. Metabolomics. 5 indexed citations
19.
Ellis, David I., Steve O’Hagan, Warwick B. Dunn, Marie Brown, & Seetharaman Vaidyanathan. (2004). From genomes to systems.. Genome Biology. 5(11). 354–354. 2 indexed citations
20.
Missous, M. & Steve O’Hagan. (1994). Nonstoichiometry and dopants related phenomena in low temperature GaAs grown by molecular beam epitaxy. Journal of Applied Physics. 75(7). 3396–3401. 55 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by James Stevenson Breakdown of academic impact, for papers by William Curatolo Breakdown of academic impact, for papers by Patrick J. Loll Breakdown of academic impact, for papers by Matteo Masetti Breakdown of academic impact, for papers by C.R. Beddell Breakdown of academic impact, for papers by Min Jiang Breakdown of academic impact, for papers by Gus R. Rosania Breakdown of academic impact, for papers by Robert B. Nachbar Breakdown of academic impact, for papers by Piotr S. Gromski Breakdown of academic impact, for papers by Antonio Randazzo
Rankless by CCL
2026