Ron M. A. Heeren

19.7k total citations · 2 hit papers
433 papers, 14.7k citations indexed

About

Ron M. A. Heeren is a scholar working on Spectroscopy, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Ron M. A. Heeren has authored 433 papers receiving a total of 14.7k indexed citations (citations by other indexed papers that have themselves been cited), including 289 papers in Spectroscopy, 170 papers in Molecular Biology and 121 papers in Computational Mechanics. Recurrent topics in Ron M. A. Heeren's work include Mass Spectrometry Techniques and Applications (282 papers), Metabolomics and Mass Spectrometry Studies (132 papers) and Ion-surface interactions and analysis (120 papers). Ron M. A. Heeren is often cited by papers focused on Mass Spectrometry Techniques and Applications (282 papers), Metabolomics and Mass Spectrometry Studies (132 papers) and Ion-surface interactions and analysis (120 papers). Ron M. A. Heeren collaborates with scholars based in Netherlands, United States and Germany. Ron M. A. Heeren's co-authors include Liam A. McDonnell, Shane R. Ellis, Kamila Chughtai, Donald F. Smith, Benjamin Balluff, Berta Cillero‐Pastor, Gert B. Eijkel, Marc C. Duursma, Maarten Altelaar and Stefan L. Luxembourg and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Ron M. A. Heeren

420 papers receiving 14.5k citations

Hit Papers

Imaging mass spectrometry 2007 2026 2013 2019 2007 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ron M. A. Heeren Netherlands 61 9.8k 7.1k 3.3k 1.3k 1.1k 433 14.7k
Zoltán Takáts United Kingdom 55 9.8k 1.0× 6.0k 0.8× 2.0k 0.6× 1.7k 1.3× 2.6k 2.4× 230 14.1k
Richard M. Caprioli United States 96 20.1k 2.0× 17.1k 2.4× 4.3k 1.3× 1.8k 1.4× 2.0k 1.8× 469 31.6k
Michael Karas Germany 80 15.9k 1.6× 12.8k 1.8× 4.1k 1.3× 2.3k 1.8× 2.3k 2.1× 320 28.3k
Franz Hillenkamp Germany 60 13.7k 1.4× 6.5k 0.9× 4.2k 1.3× 2.1k 1.7× 1.9k 1.7× 178 18.3k
Liam A. McDonnell Netherlands 46 4.2k 0.4× 3.8k 0.5× 1.3k 0.4× 567 0.4× 468 0.4× 147 6.9k
Alexander Makarov Russia 56 8.3k 0.8× 8.9k 1.2× 1.1k 0.3× 859 0.7× 907 0.8× 299 15.5k
Bernhard Spengler Germany 53 5.7k 0.6× 4.1k 0.6× 1.5k 0.5× 876 0.7× 640 0.6× 214 9.5k
Pierre Chaurand United States 46 5.7k 0.6× 4.7k 0.7× 1.5k 0.5× 452 0.4× 393 0.4× 115 8.3k
Alain Brunelle France 45 2.6k 0.3× 1.9k 0.3× 3.1k 0.9× 700 0.6× 446 0.4× 185 6.7k
Roman A. Zubarev Sweden 64 11.3k 1.1× 8.6k 1.2× 1.4k 0.4× 405 0.3× 707 0.6× 361 17.1k

Countries citing papers authored by Ron M. A. Heeren

Since Specialization
Citations

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

Fields of papers citing papers by Ron M. A. Heeren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ron M. A. Heeren. 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 Ron M. A. Heeren. The network helps show where Ron M. A. Heeren may publish in the future.

Co-authorship network of co-authors of Ron M. A. Heeren

This figure shows the co-authorship network connecting the top 25 collaborators of Ron M. A. Heeren. A scholar is included among the top collaborators of Ron M. A. Heeren 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 Ron M. A. Heeren. Ron M. A. Heeren 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.
Smet, Frederik De, et al.. (2025). Molecular Profiling of Glioblastoma Patient-Derived Single Cells Using Combined MALDI-MSI and MALDI-IHC. Analytical Chemistry. 97(7). 3846–3854. 7 indexed citations
2.
Houthuijs, Kas J., Valerie Gailus-Durner, Stefanie Leuchtenberger, et al.. (2025). Structure Elucidation for MALDI Mass Spectrometry Imaging Using Infrared Ion Spectroscopy. Analytical Chemistry. 97(25). 13160–13167. 1 indexed citations
4.
Menéndez-Pedriza, Albert, et al.. (2024). Facilitating microplastic ingestion in aquatic models: A verified protocol for daphnia magna as a trojan horse vector. MethodsX. 13. 102973–102973. 1 indexed citations
5.
Isin, Emre M., et al.. (2024). How can MSI enhance our understanding of ASO distribution?. Drug Discovery Today. 30(1). 104275–104275.
7.
Heeren, Ron M. A., et al.. (2024). Versatile immobilization of mimicking peptides on additively manufactured functionalized α-amino acid based poly(ester amide)s. European Polymer Journal. 222. 113593–113593. 1 indexed citations
8.
Heeren, Ron M. A., et al.. (2024). Improvements in Fast Mass Microscopy for Large-Area Samples. Analytical Chemistry. 96(45). 18037–18042. 3 indexed citations
9.
Timur, Ufuk Tan, Kaj S. Emanuel, Marjolein M. J. Caron, et al.. (2022). Evaluation of the Anti-Inflammatory and Chondroprotective Effect of Celecoxib on Cartilage Ex Vivo and in a Rat Osteoarthritis Model. Cartilage. 13(3). 765206739–765206739. 16 indexed citations
11.
Young, Reuben S. E., Andrew P. Bowman, Berwyck L. J. Poad, et al.. (2022). Isomeric lipid signatures reveal compartmentalized fatty acid metabolism in cancer. Journal of Lipid Research. 63(6). 100223–100223. 16 indexed citations
12.
Bury, Charles S., Ekta Patel, Robert Bradshaw, et al.. (2020). Investigating sex determination through MALDI MS analysis of peptides and proteins in natural fingermarks through comprehensive statistical modelling. Forensic Chemistry. 20. 100271–100271. 16 indexed citations
13.
Flinders, Bryn, et al.. (2020). Monitoring the three‐dimensional distribution of endogenous species in the lungs by matrix‐assisted laser desorption/ionization mass spectrometry imaging. Rapid Communications in Mass Spectrometry. 35(1). e8957–e8957. 3 indexed citations
14.
Teunissen, Jannis, et al.. (2018). Tumor classification with MALDI-MSI data of tissue microarrays: A case study. Methods. 151. 21–27. 29 indexed citations
15.
Lucas, Marit, Martin R. L. Paine, Onno J. de Boer, et al.. (2018). Strategies for managing multi-patient 3D mass spectrometry imaging data. Journal of Proteomics. 193. 184–191. 21 indexed citations
16.
Paine, Martin R. L., Berwyck L. J. Poad, Gert B. Eijkel, et al.. (2018). Mass Spectrometry Imaging with Isomeric Resolution Enabled by Ozone‐Induced Dissociation. Angewandte Chemie International Edition. 57(33). 10530–10534. 159 indexed citations
17.
Heeren, Ron M. A., et al.. (2017). Mass spectrometry imaging for clinical research – latest developments, applications, and current limitations. The Analyst. 142(15). 2690–2712. 162 indexed citations
18.
Wehrl, Hans F., Julian Schwab, Kathy Hasenbach, et al.. (2013). Multimodal Elucidation of Choline Metabolism in a Murine Glioma Model Using Magnetic Resonance Spectroscopy and 11C-Choline Positron Emission Tomography. Cancer Research. 73(5). 1470–1480. 31 indexed citations
19.
Broersen, Alexander, et al.. (2005). Comparing three PCA-based Methods for the 3D Visualization of Imaging Spectroscopy Data. TU/e Research Portal. 540–545. 8 indexed citations
20.
Brink, Oscar F. van den, et al.. (1998). Analysis of oxygenated egg ipids in tempera paint by MALDI FT-ICR-MS(MS). UvA-DARE (University of Amsterdam). 14(1). 110–110. 1 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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