Ken Cook

1.3k total citations
37 papers, 1.0k citations indexed

About

Ken Cook is a scholar working on Molecular Biology, Spectroscopy and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ken Cook has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 17 papers in Spectroscopy and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ken Cook's work include Protein purification and stability (15 papers), Monoclonal and Polyclonal Antibodies Research (12 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 papers). Ken Cook is often cited by papers focused on Protein purification and stability (15 papers), Monoclonal and Polyclonal Antibodies Research (12 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 papers). Ken Cook collaborates with scholars based in United Kingdom, United States and Germany. Ken Cook's co-authors include Jonathan Bones, Florian Füssl, Kai Scheffler, Angela Criscuolo, J.R. Thayer, Amy Farrell, Stefan Mittermayr, Karl Burgess, Mark J. Dickman and Sara Carillo and has published in prestigious journals such as Analytical Chemistry, Biochemistry and Journal of Chromatography A.

In The Last Decade

Ken Cook

36 papers receiving 979 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Cook United Kingdom 21 750 386 224 151 75 37 1.0k
Eleonora Corradini Netherlands 13 589 0.8× 294 0.8× 45 0.2× 56 0.4× 46 0.6× 18 964
Jeanethe Anguizola United States 16 853 1.1× 242 0.6× 203 0.9× 68 0.5× 37 0.5× 21 1.1k
Ryan Matsuda United States 16 766 1.0× 223 0.6× 211 0.9× 79 0.5× 33 0.4× 22 1.0k
Kenneth J. Fountain United States 17 736 1.0× 698 1.8× 96 0.4× 345 2.3× 186 2.5× 23 1.2k
Xiwei Zheng United States 19 656 0.9× 252 0.7× 291 1.3× 108 0.7× 36 0.5× 31 902
Evelyn Rampler Austria 17 615 0.8× 365 0.9× 23 0.1× 100 0.7× 70 0.9× 33 869
Cong Bi United States 17 469 0.6× 194 0.5× 198 0.9× 116 0.8× 39 0.5× 32 776
Adrian S. Culf Canada 14 698 0.9× 123 0.3× 62 0.3× 70 0.5× 29 0.4× 29 855
Karen M. Gooding United States 16 646 0.9× 646 1.7× 74 0.3× 303 2.0× 177 2.4× 25 1.0k
J. Wijdenes Netherlands 8 450 0.6× 155 0.4× 72 0.3× 77 0.5× 31 0.4× 13 653

Countries citing papers authored by Ken Cook

Since Specialization
Citations

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

Fields of papers citing papers by Ken Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Cook

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Cook. A scholar is included among the top collaborators of Ken Cook 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 Ken Cook. Ken Cook 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.
Millán‐Martín, Silvia, et al.. (2025). Characterisation of small RNA-based therapeutics and their process impurities by fast and sensitive liquid chromatography high resolution mass spectrometry. Journal of Pharmaceutical and Biomedical Analysis. 268. 117097–117097. 1 indexed citations
2.
Owen, Gareth R., Caroline A. Evans, Ken Cook, et al.. (2025). Mass spectrometry-based mRNA sequence mapping via complementary RNase digests and bespoke visualisation tools. The Analyst. 150(5). 1012–1021. 2 indexed citations
3.
Nourafkan, Ehsan, et al.. (2024). Anion exchange HPLC monitoring of mRNA in vitro transcription reactions to support mRNA manufacturing process development. Frontiers in Molecular Biosciences. 11. 1250833–1250833. 13 indexed citations
4.
Pra, Mauro De, Stephan Meding, Tibor Müllner, et al.. (2023). Degradation of polysorbate investigated by a high-performance liquid chromatography multi-detector system with charged aerosol and mass detection. Journal of Chromatography A. 1710. 464405–464405. 4 indexed citations
5.
Carillo, Sara, Angela Criscuolo, Florian Füssl, Ken Cook, & Jonathan Bones. (2022). Intact multi-attribute method (iMAM): A flexible tool for the analysis of monoclonal antibodies. European Journal of Pharmaceutics and Biopharmaceutics. 177. 241–248. 21 indexed citations
6.
Farrell, Amy, Jenny T. C. Ho, Kai Scheffler, et al.. (2021). Proteomic Profiling of IgG1 Producing CHO Cells Using LC/LC-SPS-MS3: The Effects of Bioprocessing Conditions on Productivity and Product Quality. Frontiers in Bioengineering and Biotechnology. 9. 569045–569045. 10 indexed citations
7.
Millán‐Martín, Silvia, Craig Jakes, Sara Carillo, et al.. (2020). Inter-laboratory study of an optimised peptide mapping workflow using automated trypsin digestion for monitoring monoclonal antibody product quality attributes. Analytical and Bioanalytical Chemistry. 412(25). 6833–6848. 47 indexed citations
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9.
Millán‐Martín, Silvia, Sara Carillo, Florian Füssl, et al.. (2020). Optimisation of the use of sliding window deconvolution for comprehensive characterisation of trastuzumab and adalimumab charge variants by native high resolution mass spectrometry. European Journal of Pharmaceutics and Biopharmaceutics. 158. 83–95. 14 indexed citations
10.
Criscuolo, Angela, Martin Zeller, Ken Cook, Georgia Angelidou, & Maria Fedorova. (2019). Rational selection of reverse phase columns for high throughput LC–MS lipidomics. Chemistry and Physics of Lipids. 221. 120–127. 35 indexed citations
11.
Nwokeoji, Alison O., et al.. (2016). Nucleic acid separations using superficially porous silica particles. Journal of Chromatography A. 1440. 135–144. 34 indexed citations
12.
Finnigan, James, et al.. (2016). Cytochromes P450. Advances in protein chemistry and structural biology. 105. 105–126. 46 indexed citations
13.
Baca, Martyna, Jelle De Vos, Gilles Bruylants, et al.. (2016). A comprehensive study to protein retention in hydrophobic interaction chromatography. Journal of Chromatography B. 1032. 182–188. 27 indexed citations
14.
Oppermann, Madalina, Matthew J. Dalby, Richard Burchmore, et al.. (2015). Serially coupling hydrophobic interaction and reversed-phase chromatography with simultaneous gradients provides greater coverage of the metabolome. Metabolomics. 11(5). 1465–1470. 35 indexed citations
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Williamson, James C., et al.. (2007). Multidimensional liquid phase protein separations in conjunction with stable isotope labelling for quantitative proteomics. PROTEOMICS. 7(21). 3826–3834. 4 indexed citations
18.
Aboul‐Soud, Mourad A. M., Ken Cook, & Gary J. Loake. (2004). Measurement of Salicylic Acid by a High-Performance Liquid Chromatography Procedure Based on Ion-Exchange. Chromatographia. 59(1-2). 129–133. 34 indexed citations
19.
Monaghan, John, et al.. (1997). Determination of nitrite and nitrate in human serum. Journal of Chromatography A. 770(1-2). 143–149. 45 indexed citations
20.
Hill, Bruce C., Ken Cook, & Neal C. Robinson. (1988). Subunit dissociation and protein unfolding in the bovine heart cytochrome oxidase complex induced by guanidine hydrochloride. Biochemistry. 27(13). 4741–4747. 19 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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