Mario Ursem

857 total citations
16 papers, 710 citations indexed

About

Mario Ursem is a scholar working on Spectroscopy, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Mario Ursem has authored 16 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Spectroscopy, 10 papers in Biomedical Engineering and 8 papers in Molecular Biology. Recurrent topics in Mario Ursem's work include Analytical Chemistry and Chromatography (11 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers) and Protein purification and stability (6 papers). Mario Ursem is often cited by papers focused on Analytical Chemistry and Chromatography (11 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers) and Protein purification and stability (6 papers). Mario Ursem collaborates with scholars based in Netherlands, Belgium and United Kingdom. Mario Ursem's co-authors include Jean-Pierre Chervet, Sebastiaan Eeltink, Remco Swart, Sebastiaan Dolman, Gert Desmet, Peter J. Schoenmakers, Frederik Detobel, Johannes P.C. Vissers, Arnoud H. de Ru and Bert Wouters and has published in prestigious journals such as Analytical Chemistry, Journal of Chromatography A and Molecular & Cellular Proteomics.

In The Last Decade

Mario Ursem

16 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Ursem Netherlands 12 530 472 169 140 35 16 710
Jean-Pierre Chervet Austria 17 771 1.5× 549 1.2× 312 1.8× 174 1.2× 58 1.7× 28 1.1k
Joop C. M. Waterval Netherlands 14 357 0.7× 526 1.1× 153 0.9× 69 0.5× 59 1.7× 19 711
Katarína Maráková Slovakia 15 346 0.7× 358 0.8× 173 1.0× 68 0.5× 53 1.5× 42 605
Beverly Nickerson United States 12 233 0.4× 422 0.9× 99 0.6× 90 0.6× 49 1.4× 24 633
Per Erlandsson Sweden 11 422 0.8× 272 0.6× 177 1.0× 106 0.8× 37 1.1× 14 546
Alex Marsh United Kingdom 10 268 0.5× 223 0.5× 63 0.4× 125 0.9× 25 0.7× 12 386
Qinglin Tang United States 11 375 0.7× 331 0.7× 59 0.3× 98 0.7× 12 0.3× 17 464
P. Agrafiotou Greece 11 314 0.6× 161 0.3× 152 0.9× 198 1.4× 64 1.8× 25 443
John Madden Australia 10 315 0.6× 165 0.3× 119 0.7× 201 1.4× 36 1.0× 13 452
Shenyuan Yang United States 8 283 0.5× 289 0.6× 50 0.3× 63 0.5× 38 1.1× 8 394

Countries citing papers authored by Mario Ursem

Since Specialization
Citations

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

Fields of papers citing papers by Mario Ursem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Ursem

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

All Works

16 of 16 papers shown
1.
Wienk, Hans, Lennard J. M. Dekker, Paul J.A. Ruttink, et al.. (2014). Identifying Ca2+-Binding Sites in Proteins by Liquid Chromatography-Mass Spectrometry Using Ca2+-Directed Dissociations. Molecular & Cellular Proteomics. 13(11). 3177–3183. 1 indexed citations
2.
Dekker, Lennard J. M., et al.. (2014). Dimerization of Peptides by Calcium Ions: Investigation of a Calcium-Binding Motif. PubMed. 2014. 1–8. 7 indexed citations
3.
Wouters, Bert, Mario Ursem, Jenny Ho, et al.. (2012). The Potential of Polymer Monolithic Capillary Columns for the LC-MS Analysis of Intact Proteins. VUBIR (Vrije Universiteit Brussel). 25. 10–15. 8 indexed citations
4.
Eeltink, Sebastiaan, et al.. (2011). High-resolution separations of protein isoforms with liquid chromatography time-of-flight mass spectrometry using polymer monolithic capillary columns. Journal of Chromatography A. 1218(32). 5504–5511. 41 indexed citations
5.
Detobel, Frederik, Ken Broeckhoven, Bert Wouters, et al.. (2010). Parameters affecting the separation of intact proteins in gradient-elution reversed-phase chromatography using poly(styrene-co-divinylbenzene) monolithic capillary columns. Journal of Chromatography A. 1217(18). 3085–3090. 37 indexed citations
6.
Eeltink, Sebastiaan, Frank Steiner, Mario Ursem, et al.. (2010). Use of kinetic plots for the optimization of the separation time in ultra‐high‐pressure LC. Journal of Separation Science. 33(17-18). 2629–2635. 18 indexed citations
7.
Eeltink, Sebastiaan, Sebastiaan Dolman, Frederik Detobel, et al.. (2010). High-efficiency liquid chromatography–mass spectrometry separations with 50mm, 250mm, and 1m long polymer-based monolithic capillary columns for the characterization of complex proteolytic digests. Journal of Chromatography A. 1217(43). 6610–6615. 57 indexed citations
8.
Eeltink, Sebastiaan, Sebastiaan Dolman, Gabriel Vivó‐Truyols, et al.. (2010). Selection of Column Dimensions and Gradient Conditions to Maximize the Peak-Production Rate in Comprehensive Off-Line Two-Dimensional Liquid Chromatography Using Monolithic Columns. Analytical Chemistry. 82(16). 7015–7020. 25 indexed citations
9.
Eeltink, Sebastiaan, Sebastiaan Dolman, Mario Ursem, et al.. (2009). Maximizing the peak production rate in off-line comprehensive two-dimensional liquid chromatography with mass spectrometry detection. UvA-DARE (University of Amsterdam). 22(8). 404–413. 2 indexed citations
10.
Eeltink, Sebastiaan, Sebastiaan Dolman, Frederik Detobel, et al.. (2009). 1 mm ID poly(styrene‐co‐divinylbenzene) monolithic columns for high‐peak capacity one‐ and two‐dimensional liquid chromatographic separations of intact proteins. Journal of Separation Science. 32(15-16). 2504–2509. 34 indexed citations
11.
Eeltink, Sebastiaan, Sebastiaan Dolman, Remco Swart, Mario Ursem, & Peter J. Schoenmakers. (2009). Optimizing the peak capacity per unit time in one-dimensional and off-line two-dimensional liquid chromatography for the separation of complex peptide samples. Journal of Chromatography A. 1216(44). 7368–7374. 40 indexed citations
12.
Cabooter, Deirdre, Sebastiaan Eeltink, Remco Swart, et al.. (2009). Automatic Column Coupling System To Operate Chromatographic Supports Closer To Their Kinetic Performance Limit and To Enhance Method Development. Analytical Chemistry. 82(3). 1054–1065. 16 indexed citations
13.
Chervet, Jean-Pierre, et al.. (1996). Instrumental Requirements for Nanoscale Liquid Chromatography. Analytical Chemistry. 68(9). 1507–1512. 196 indexed citations
14.
Vissers, Johannes P.C., Arnoud H. de Ru, Mario Ursem, & Jean-Pierre Chervet. (1996). Optimised injection techniques for micro and capillary liquid chromatography. Journal of Chromatography A. 746(1). 1–7. 50 indexed citations
15.
Chervet, Jean-Pierre, et al.. (1991). Z-shaped flow cell for UV detection in capillary electrophoresis. Journal of Chromatography A. 543. 439–449. 124 indexed citations
16.
Chervet, Jean-Pierre, et al.. (1989). Ultra‐sensitive UV detection in micro separation. Journal of High Resolution Chromatography. 12(5). 278–281. 54 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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