Zoltán Takáts

22.7k total citations · 4 hit papers
230 papers, 14.1k citations indexed

About

Zoltán Takáts is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Zoltán Takáts has authored 230 papers receiving a total of 14.1k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Spectroscopy, 112 papers in Molecular Biology and 37 papers in Biomedical Engineering. Recurrent topics in Zoltán Takáts's work include Mass Spectrometry Techniques and Applications (127 papers), Metabolomics and Mass Spectrometry Studies (71 papers) and Analytical Chemistry and Chromatography (44 papers). Zoltán Takáts is often cited by papers focused on Mass Spectrometry Techniques and Applications (127 papers), Metabolomics and Mass Spectrometry Studies (71 papers) and Analytical Chemistry and Chromatography (44 papers). Zoltán Takáts collaborates with scholars based in United Kingdom, Hungary and United States. Zoltán Takáts's co-authors include R. Graham Cooks, Justin M. Wiseman, Bogdan Gologan, Zheng Ouyang, Nari Talaty, Júlia Balog, Huanwen Chen, Ara Darzi, Jeremy K. Nicholson and James Kinross and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Zoltán Takáts

225 papers receiving 13.8k citations

Hit Papers

align trajectories sort by overperformance

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.

Mass Spectrometry Sampling Under Ambient Conditions with Desorption Electrospray Ionization

2004 2.7k citations Zoltán Takáts, Justin M. Wiseman et al. Science profile →
Ambient Mass Spectrometry

2006 1.2k citations R. Graham Cooks, Zheng Ouyang et al. Science profile →
Ambient mass spectrometry using desorption electrospray ionization (DESI): instrumentation, mechanisms and applications in forensics, chemistry, and biology

2005 676 citations Zoltán Takáts, Justin M. Wiseman et al. profile →
Intraoperative Tissue Identification Using Rapid Evaporative Ionization Mass Spectrometry

2013 438 citations Júlia Balog, James Kinross et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zoltán Takáts United Kingdom	55	9.8k	6.0k	2.6k	2.0k	1.7k	230	14.1k
Ron M. A. Heeren Netherlands	61	9.8k 1.0×	7.1k 1.2×	1.1k 0.4×	3.3k 1.7×	1.3k 0.7×	433	14.7k
Michael Karas Germany	80	15.9k 1.6×	12.8k 2.1×	2.3k 0.9×	4.1k 2.1×	2.3k 1.4×	320	28.3k
Zheng Ouyang United States	68	12.9k 1.3×	4.9k 0.8×	4.5k 1.7×	1.8k 0.9×	3.7k 2.2×	286	16.6k
Richard M. Caprioli United States	96	20.1k 2.1×	17.1k 2.9×	2.0k 0.8×	4.3k 2.2×	1.8k 1.0×	469	31.6k
Alexander Makarov Russia	56	8.3k 0.8×	8.9k 1.5×	907 0.3×	1.1k 0.5×	859 0.5×	299	15.5k
Franz Hillenkamp Germany	60	13.7k 1.4×	6.5k 1.1×	1.9k 0.7×	4.2k 2.1×	2.1k 1.2×	178	18.3k
Neil L. Kelleher United States	89	13.4k 1.4×	19.2k 3.2×	1.6k 0.6×	1.3k 0.7×	355 0.2×	440	29.1k
Robert J. Cotter United States	78	6.0k 0.6×	8.4k 1.4×	836 0.3×	1.6k 0.8×	1.3k 0.7×	366	19.5k
Joshua J. Coon United States	73	10.3k 1.1×	13.6k 2.3×	2.4k 0.9×	624 0.3×	345 0.2×	359	22.0k
Facundo M. Fernández United States	51	3.9k 0.4×	3.1k 0.5×	1.7k 0.7×	549 0.3×	1.3k 0.7×	225	8.9k

Countries citing papers authored by Zoltán Takáts

Since Specialization

Citations

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

Fields of papers citing papers by Zoltán Takáts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zoltán Takáts

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

All Works

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20 of 20 papers shown

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

Simon, Dániel, Yuchen Xiang, Yu Wang, et al.. (2025). Subcellular-Resolution Molecular Pathology by Laser Ablation–Rapid Evaporative Ionization Mass Spectrometry. Analytical Chemistry. 97(32). 17433–17443. 1 indexed citations

Inglese, Paolo, Jiabin Tang, Gonçalo dos Santos Correia, et al.. (2024). Mass spectrometry imaging highlights dynamic patterns of lipid co‐expression with Aβ plaques in mouse and human brains. Journal of Neurochemistry. 168(7). 1193–1214. 7 indexed citations

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

Αλεξιάδου, Κλεοπάτρα, Joyceline Cuenco, Stéphane Camuzeaux, et al.. (2023). Commentary on “The road to reliable peptide assays is paved with good guidelines”. Clinical Endocrinology. 98(6). 763–765. 1 indexed citations

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

Mehta, Ravi, Elena Chekmeneva, Heather Jackson, et al.. (2022). Antiviral metabolite 3′-deoxy-3′,4′-didehydro-cytidine is detectable in serum and identifies acute viral infections including COVID-19. Med. 3(3). 204–215.e6. 10 indexed citations

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

Dannhorn, Andreas, Stephanie Ling, Steven J. Powell, et al.. (2021). Evaluation of UV-C Decontamination of Clinical Tissue Sections for Spatially Resolved Analysis by Mass Spectrometry Imaging (MSI). Analytical Chemistry. 93(5). 2767–2775. 5 indexed citations

10.

Kudo, Hiromi, Andreas Dannhorn, Sundhiya Mandalia, et al.. (2021). Lactate dehydrogenase activity staining demonstrates time-dependent immune cell infiltration in human ex-vivo burn-injured skin. Scientific Reports. 11(1). 21249–21249. 9 indexed citations

11.

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

12.

Jones, Emrys A., Dániel Simon, Tamás Karancsi, et al.. (2019). Matrix Assisted Rapid Evaporative Ionization Mass Spectrometry. Analytical Chemistry. 91(15). 9784–9791. 43 indexed citations

13.

Varshavi, Dorsa, Flora Scott, Ian Phillips, et al.. (2018). Metabolic Biomarkers of Ageing in C57BL/6J Wild-Type and Flavin-Containing Monooxygenase 5 (FMO5)-Knockout Mice. Frontiers in Molecular Biosciences. 5. 28–28. 16 indexed citations

14.

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

15.

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

16.

Guenther, Sabine, Laura J. Muirhead, Abigail V.M. Speller, et al.. (2015). Spatially Resolved Metabolic Phenotyping of Breast Cancer by Desorption Electrospray Ionization Mass Spectrometry. Cancer Research. 75(9). 1828–1837. 129 indexed citations

17.

Takáts, Zoltán, et al.. (2013). Verification of Skin Autofluorescence Values by Mass Spectrometry in Adolescents with Type 1 Diabetes: Brief Report. Diabetes Technology & Therapeutics. 15(3). 269–272. 7 indexed citations

18.

Wiseman, Justin M., Satu M. Puolitaival, Zoltán Takáts, R. Graham Cooks, & Richard M. Caprioli. (2005). Mass Spectrometric Profiling of Intact Biological Tissue by Using Desorption Electrospray Ionization. Angewandte Chemie International Edition. 44(43). 7094–7097. 190 indexed citations

19.

Ouyang, Zheng, Zoltán Takáts, Thomas A. Blake, et al.. (2003). Preparing Protein Microarrays by Soft-Landing of Mass-Selected Ions. Science. 301(5638). 1351–1354. 230 indexed citations

20.

Nagy, Kornél, Zoltán Takáts, Ferenc Pollreisz, T Szabó, & Károly Vékey. (2003). Direct tandem mass spectrometric analysis of amino acids in dried blood spots without chemical derivatization for neonatal screening. Rapid Communications in Mass Spectrometry. 17(9). 983–990. 49 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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