Mark Earll

1.4k total citations
12 papers, 304 citations indexed

About

Mark Earll is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Mark Earll has authored 12 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Spectroscopy and 3 papers in Biomedical Engineering. Recurrent topics in Mark Earll's work include Metabolomics and Mass Spectrometry Studies (7 papers), Analytical Chemistry and Chromatography (4 papers) and Advanced Chemical Sensor Technologies (3 papers). Mark Earll is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), Analytical Chemistry and Chromatography (4 papers) and Advanced Chemical Sensor Technologies (3 papers). Mark Earll collaborates with scholars based in United Kingdom, Sweden and Australia. Mark Earll's co-authors include Helen Gika, Georgios Theodoridis, Ian D. Wilson, Andrew J Geall, Richard J. K. Taylor, Ian S. Blagbrough, Michael A. W. Eaton, Erik Johansson, Lennart Eriksson and O. P. Whelehan and has published in prestigious journals such as Analytical Chemistry, Chemical Communications and Journal of Chromatography A.

In The Last Decade

Mark Earll

12 papers receiving 297 citations

Peers

Mark Earll
Yangsun Kim South Korea
Xuelin Gu United States
D.M. Wong United States
Yangsun Kim South Korea
Mark Earll
Citations per year, relative to Mark Earll Mark Earll (= 1×) peers Yangsun Kim

Countries citing papers authored by Mark Earll

Since Specialization
Citations

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

Fields of papers citing papers by Mark Earll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Earll

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

All Works

12 of 12 papers shown
1.
Nwokeoji, Alison O., Mark Earll, Peter M. Kilby, David E. Portwood, & Mark J. Dickman. (2018). High resolution fingerprinting of single and double-stranded RNA using ion-pair reverse-phase chromatography. Journal of Chromatography B. 1104. 212–219. 7 indexed citations
2.
Hand, Laurence H., et al.. (2015). High-resolution accurate mass spectrometry as a technique for characterization of complex lysimeter leachate samples. Environmental Toxicology and Chemistry. 35(6). 1401–1412. 2 indexed citations
3.
Beisken, Stephan, Mark Earll, David E. Portwood, Mark Seymour, & Christoph Steinbeck. (2014). MassCascade: Visual Programming for LC‐MS Data Processing in Metabolomics. Molecular Informatics. 33(4). 307–310. 10 indexed citations
4.
Beisken, Stephan, Mark Earll, Charles Baxter, et al.. (2014). Metabolic differences in ripening of Solanum lycopersicum ‘Ailsa Craig’ and three monogenic mutants. Scientific Data. 1(1). 140029–140029. 13 indexed citations
5.
Oliver, Robin G., et al.. (2012). Variation in chlorotoluron photodegradation rates as a result of seasonal changes in the composition of natural waters. Pest Management Science. 69(1). 120–125. 5 indexed citations
6.
Gika, Helen, Georgios Theodoridis, Mark Earll, & Ian D. Wilson. (2012). A Qc Approach to The Determination of Day-To-Day Reproducibility And Robustness of Lc–Ms Methods For Global Metabolite Profiling in Metabonomics/Metabolomics. Bioanalysis. 4(18). 2239–2247. 63 indexed citations
7.
Kende, Anikó, et al.. (2010). Target list building for volatile metabolite profiling of fruit. Journal of Chromatography A. 1217(43). 6718–6723. 16 indexed citations
8.
Gika, Helen, Georgios Theodoridis, Mark Earll, et al.. (2010). Does the Mass Spectrometer Define the Marker? A Comparison of Global Metabolite Profiling Data Generated Simultaneously via UPLC-MS on Two Different Mass Spectrometers. Analytical Chemistry. 82(19). 8226–8234. 42 indexed citations
9.
Whelehan, O. P., et al.. (2006). Detection of ovarian cancer using chemometric analysis of proteomic profiles. Chemometrics and Intelligent Laboratory Systems. 84(1-2). 82–87. 38 indexed citations
10.
Eriksson, Lennart, Jiřı́ Damborský, Mark Earll, et al.. (2004). Three-block bi-focal PLS (3BIF-PLS) and its application in QSAR. SAR and QSAR in environmental research. 15(5-6). 481–499. 9 indexed citations
11.
Geall, Andrew J, Richard J. K. Taylor, Mark Earll, Michael A. W. Eaton, & Ian S. Blagbrough. (2000). Synthesis of Cholesteryl Polyamine Carbamates:  pKa Studies and Condensation of Calf Thymus DNA. Bioconjugate Chemistry. 11(3). 314–326. 59 indexed citations
12.
Geall, Andrew J, Ian S. Blagbrough, Andrew J. Geall, et al.. (1998). Synthesis of cholesterol-polyamine carbamates: pKa studies and condensation of calf thymus DNA. Chemical Communications. 1403–1404. 40 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

Rankless by CCL
2026