James S. McKenzie

2.3k total citations
40 papers, 1.6k citations indexed

About

James S. McKenzie is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, James S. McKenzie has authored 40 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Spectroscopy and 7 papers in Epidemiology. Recurrent topics in James S. McKenzie's work include Metabolomics and Mass Spectrometry Studies (13 papers), Mass Spectrometry Techniques and Applications (12 papers) and Molecular Biology Techniques and Applications (6 papers). James S. McKenzie is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (13 papers), Mass Spectrometry Techniques and Applications (12 papers) and Molecular Biology Techniques and Applications (6 papers). James S. McKenzie collaborates with scholars based in United Kingdom, Hungary and Australia. James S. McKenzie's co-authors include Zoltán Takáts, Kirill Veselkov, John Macleod, Nicole Strittmatter, Abigail V.M. Speller, Roy Robertson, Francesca Rosini, Júlia Balog, Fernando Pablos and José Marcos Jurado and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Gastroenterology.

In The Last Decade

James S. McKenzie

40 papers receiving 1.5k citations

Peers

James S. McKenzie
Valentina Pirro United States
Catherine J. McNeal United States
Peter S. Marshall United Kingdom
Gaetano Corso Italy
Michael J. Burns United States
Christopher K. Barlow Australia
Konstantina Spagou United Kingdom
Donald H. Chace United States
Alicia Richards United States
Federica Bortolotti Italy
Valentina Pirro United States
James S. McKenzie
Citations per year, relative to James S. McKenzie James S. McKenzie (= 1×) peers Valentina Pirro

Countries citing papers authored by James S. McKenzie

Since Specialization
Citations

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

Fields of papers citing papers by James S. McKenzie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James S. McKenzie. 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 James S. McKenzie. The network helps show where James S. McKenzie may publish in the future.

Co-authorship network of co-authors of James S. McKenzie

This figure shows the co-authorship network connecting the top 25 collaborators of James S. McKenzie. A scholar is included among the top collaborators of James S. McKenzie 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 James S. McKenzie. James S. McKenzie 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.
Chen, Wei, Raquel Mejías‐Luque, Klaus‐Peter Janssen, et al.. (2025). Universal, untargeted detection of bacteria in tissues using metabolomics workflows. Nature Communications. 16(1). 165–165. 2 indexed citations
2.
Dória, M. Luísa, Anika Nagelkerke, James S. McKenzie, et al.. (2024). Extracellular vesicles as a promising source of lipid biomarkers for breast cancer detection in blood plasma. Journal of Extracellular Vesicles. 13(3). e12419–e12419. 46 indexed citations
3.
Molnár, Adrienn, Nóra Kucsma, James S. McKenzie, et al.. (2024). Characterisation of Canine and Feline Breast Tumours, Their Metastases, and Corresponding Primary Cell Lines Using LA-REIMS and DESI-MS Imaging. International Journal of Molecular Sciences. 25(14). 7752–7752. 4 indexed citations
4.
McKenzie, James S., Fernanda E. Pinto, Martin Glud, et al.. (2024). Metabolomic profiling and accurate diagnosis of basal cell carcinoma by MALDI imaging and machine learning. Experimental Dermatology. 33(7). e15141–e15141. 3 indexed citations
5.
Dannhorn, Andreas, M. Luísa Dória, James S. McKenzie, et al.. (2023). Targeted Desorption Electrospray Ionization Mass Spectrometry Imaging for Drug Distribution, Toxicity, and Tissue Classification Studies. Metabolites. 13(3). 377–377. 10 indexed citations
6.
Giunchiglia, Valentina, James S. McKenzie, Zoltán Takáts, et al.. (2022). Automated Cancer Diagnostics via Analysis of Optical and Chemical Images by Deep and Shallow Learning. Metabolites. 12(5). 455–455. 3 indexed citations
7.
Wu, Vincen, Emrys A. Jones, James S. McKenzie, et al.. (2022). High Resolution Ambient MS Imaging of Biological Samples by Desorption Electro-Flow Focussing Ionization. Analytical Chemistry. 94(28). 10035–10044. 26 indexed citations
8.
Tzafetas, Menelaos, Anita Mitra, Maria Paraskevaidi, et al.. (2020). The intelligent knife (iKnife) and its intraoperative diagnostic advantage for the treatment of cervical disease. Proceedings of the National Academy of Sciences. 117(13). 7338–7346. 67 indexed citations
9.
Abbassi‐Ghadi, Nima, Stefan Antonowicz, James S. McKenzie, et al.. (2020). De Novo Lipogenesis Alters the Phospholipidome of Esophageal Adenocarcinoma. Cancer Research. 80(13). 2764–2774. 27 indexed citations
10.
Inglese, Paolo, James S. McKenzie, Anna Mróz, et al.. (2017). Deep learning and 3D-DESI imaging reveal the hidden metabolic heterogeneity of cancer. Chemical Science. 8(5). 3500–3511. 110 indexed citations
11.
Bergholt, Mads S., Andrea Serio, James S. McKenzie, et al.. (2017). Correlated Heterospectral Lipidomics for Biomolecular Profiling of Remyelination in Multiple Sclerosis. ACS Central Science. 4(1). 39–51. 49 indexed citations
12.
John, Edward St, Júlia Balog, James S. McKenzie, et al.. (2017). Rapid evaporative ionisation mass spectrometry of electrosurgical vapours for the identification of breast pathology: towards an intelligent knife for breast cancer surgery. Breast Cancer Research. 19(1). 59–59. 151 indexed citations
13.
Abbassi‐Ghadi, Nima, Ottmar Golf, Sacheen Kumar, et al.. (2016). Imaging of Esophageal Lymph Node Metastases by Desorption Electrospray Ionization Mass Spectrometry. Cancer Research. 76(19). 5647–5656. 24 indexed citations
14.
Takáts, Zoltán, Nicole Strittmatter, & James S. McKenzie. (2016). Ambient Mass Spectrometry in Cancer Research. Advances in cancer research. 134. 231–256. 61 indexed citations
15.
Sophocleous, Antonia, Roy Robertson, Nuno Ferreira, et al.. (2016). Heavy Cannabis Use Is Associated With Low Bone Mineral Density and an Increased Risk of Fractures. The American Journal of Medicine. 130(2). 214–221. 65 indexed citations
16.
Dória, M. Luísa, James S. McKenzie, Anna Mróz, et al.. (2016). Epithelial ovarian carcinoma diagnosis by desorption electrospray ionization mass spectrometry imaging. Scientific Reports. 6(1). 39219–39219. 61 indexed citations
17.
McKenzie, James S., James Donarski, Julie Wilson, & Adrian J. Charlton. (2011). Analysis of complex mixtures using high-resolution nuclear magnetic resonance spectroscopy and chemometrics. Progress in Nuclear Magnetic Resonance Spectroscopy. 59(4). 336–359. 69 indexed citations
18.
Kimber, Jo, Matthew Hickman, John Macleod, et al.. (2010). Survival and cessation in injecting drug users: prospective observational study of outcomes and effect of opiate substitution treatment. BMJ. 341(jul01 1). c3172–c3172. 142 indexed citations
19.
Macleod, John, Lorraine Copeland, Matthew Hickman, et al.. (2010). The Edinburgh Addiction Cohort: recruitment and follow-up of a primary care based sample of injection drug users and non drug-injecting controls. BMC Public Health. 10(1). 101–101. 12 indexed citations
20.

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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