Steve O’Hagan

3.0k citations
36 papers · 1.8k indexed · 1 hit paper · h-index 21
Topics
Metabolomics and Mass Spectrometry Studies (11 papers)Analytical Chemistry and Chromatography (8 papers)Computational Drug Discovery Methods (8 papers)

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...20092026201420202009100200300400500

Peers

Steve O’Hagan
Comparison fields: 5 of 146
  • Molecular Biology 1.0k
  • Spectroscopy 357
  • Biomedical Engineering 216
  • Computational Theory and Mathematics 172
  • Atomic and Molecular Physics, and Optics 139
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Steve O’Hagan relative to Piotr S. Gromski United Kingdom Piotr S. Gromski's profile →
Citations per field
00.5×11.6×
Piotr S. Gromski · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 17
3 19
4 31
5 9
6
The role of drug transporters in phenotypic screening
4
7 50
8 21
9 17
10 22
11 25
12 50
13 28
14 76
15 154
16 12
17
Development of a Robust and Repeatable UPLC−MS Method for the Long-Term Metabolomic Study of Human Serumbreakdown →
540
18
A metabolome pipeline: from concept to data to knowledge. Metabolomics
5
19 2
20 55

About Steve O’Hagan

Steve O’Hagan is a scholar working on Spectroscopy, Computational Theory and Mathematics and Pharmacology, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (11 papers), Analytical Chemistry and Chromatography (8 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Biophysics (133 citations), Spectroscopy (357 citations) and Molecular Biology (1.0k citations). Steve O’Hagan has collaborated with scholars based in United Kingdom, Denmark and Sweden. Frequent 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. Their work appears in journals such as Applied Physics Letters, PLoS ONE and Journal of Applied Physics.

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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