Lars Ridder

3.3k total citations
45 papers, 2.3k citations indexed

About

Lars Ridder is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics. According to data from OpenAlex, Lars Ridder has authored 45 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 8 papers in Spectroscopy and 7 papers in Computational Theory and Mathematics. Recurrent topics in Lars Ridder's work include Metabolomics and Mass Spectrometry Studies (11 papers), Analytical Chemistry and Chromatography (8 papers) and Computational Drug Discovery Methods (7 papers). Lars Ridder is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (11 papers), Analytical Chemistry and Chromatography (8 papers) and Computational Drug Discovery Methods (7 papers). Lars Ridder collaborates with scholars based in Netherlands, United Kingdom and United States. Lars Ridder's co-authors include Adrian J. Mulholland, Justin J. J. van der Hooft, Jacques Vervoort, Ivonne M.C.M. Rietjens, Stefan Verhoeven, Johannes C. Hermann, Jeremy N. Harvey, Ric C. H. de Vos, Christine M. Bathelt and Markus Wagener and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Analytical Chemistry.

In The Last Decade

Lars Ridder

43 papers receiving 2.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lars Ridder 1.4k 377 352 344 260 45 2.3k
Artur Góra 1.4k 1.0× 166 0.4× 454 1.3× 295 0.9× 80 0.3× 46 2.1k
Di Wu 1.5k 1.0× 219 0.6× 402 1.1× 145 0.4× 89 0.3× 136 3.3k
Robert J. Doerksen 1.7k 1.2× 202 0.5× 237 0.7× 492 1.4× 74 0.3× 128 3.6k
Chartchalerm Isarankura‐Na‐Ayudhya 889 0.6× 262 0.7× 162 0.5× 683 2.0× 76 0.3× 113 2.6k
Oleg A. Raevsky 545 0.4× 689 1.8× 409 1.2× 905 2.6× 107 0.4× 95 2.3k
M. Paul Gleeson 1.3k 0.9× 352 0.9× 358 1.0× 1.3k 3.7× 61 0.2× 85 3.1k
Angelo Vedani 1.1k 0.8× 279 0.7× 222 0.6× 988 2.9× 53 0.2× 74 2.1k
Frank Hannemann 2.1k 1.4× 174 0.5× 190 0.5× 210 0.6× 484 1.9× 96 3.4k

Countries citing papers authored by Lars Ridder

Since Specialization
Citations

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

Fields of papers citing papers by Lars Ridder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Ridder

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Ridder. A scholar is included among the top collaborators of Lars Ridder 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 Lars Ridder. Lars Ridder 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.
Renaud, Nicolas, Cunliang Geng, Sonja Georgievska, et al.. (2021). DeepRank: a deep learning framework for data mining 3D protein-protein interfaces. Nature Communications. 12(1). 7068–7068. 76 indexed citations
2.
Huber, Florian, Lars Ridder, Stefan Verhoeven, et al.. (2021). Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships. PLoS Computational Biology. 17(2). e1008724–e1008724. 140 indexed citations
3.
Sundararajan, Kalaivani, Sonja Georgievska, Bart H. W. Te Lindert, et al.. (2021). Sleep classification from wrist-worn accelerometer data using random forests. Scientific Reports. 11(1). 24–24. 64 indexed citations
4.
Huber, Florian, et al.. (2021). MS2DeepScore: a novel deep learning similarity measure to compare tandem mass spectra. Journal of Cheminformatics. 13(1). 84–84. 110 indexed citations
5.
Hamlin, Trevor A., Dennis Svatunek, Song Yu, et al.. (2018). Elucidating the Trends in Reactivity of Aza‐1,3‐Dipolar Cycloadditions. European Journal of Organic Chemistry. 2019(2-3). 378–386. 48 indexed citations
6.
Esse, G. Wilma van, Colette A. ten Hove, H. Peter van Esse, et al.. (2016). Transcriptional Analysis of serk1 and serk3 Coreceptor Mutants. PLANT PHYSIOLOGY. 172(4). 2516–2529. 1 indexed citations
7.
Hooft, Justin J. J. van der, Lars Ridder, Michael P. Barrett, & Karl Burgess. (2015). Enhanced Acylcarnitine Annotation in High-Resolution Mass Spectrometry Data: Fragmentation Analysis for the Classification and Annotation of Acylcarnitines. Frontiers in Bioengineering and Biotechnology. 3. 26–26. 18 indexed citations
8.
Ridder, Lars, Justin J. J. van der Hooft, & Stefan Verhoeven. (2014). Automatic Compound Annotation from Mass Spectrometry Data Using MAGMa. Mass Spectrometry. 3(Special_Issue_2). S0033–S0033. 72 indexed citations
9.
Ridder, Lars, Justin J. J. van der Hooft, Stefan Verhoeven, et al.. (2014). In Silico Prediction and Automatic LC–MSn Annotation of Green Tea Metabolites in Urine. Analytical Chemistry. 86(10). 4767–4774. 38 indexed citations
10.
Hooft, Justin J. J. van der, Ric C. H. de Vos, Lars Ridder, Jacques Vervoort, & R.J. Bino. (2013). Structural elucidation of low abundant metabolites in complex sample matrices. Metabolomics. 9(5). 1009–1018. 38 indexed citations
11.
12.
Ridder, Lars & Markus Wagener. (2008). SyGMa: Combining Expert Knowledge and Empirical Scoring in the Prediction of Metabolites. ChemMedChem. 3(5). 821–832. 110 indexed citations
13.
Hermann, Johannes C., Lars Ridder, Hans‐Dieter Höltje, & Adrian J. Mulholland. (2005). Molecular mechanisms of antibiotic resistance: QM/MM modelling of deacylation in a class A β-lactamase. Organic & Biomolecular Chemistry. 4(2). 206–210. 58 indexed citations
14.
Ranaghan, Kara E., Lars Ridder, Borys Szefczyk, et al.. (2004). Transition state stabilization and substrate strain in enzyme catalysis: ab initio QM/MM modelling of the chorismate mutase reaction. Organic & Biomolecular Chemistry. 2(7). 968–968. 87 indexed citations
15.
Bathelt, Christine M., Lars Ridder, Adrian J. Mulholland, & Jeremy N. Harvey. (2004). Mechanism and structure–reactivity relationships for aromatic hydroxylation by cytochrome P450. Organic & Biomolecular Chemistry. 2(20). 2998–3005. 111 indexed citations
16.
Ridder, Lars & Adrian J. Mulholland. (2003). Modeling Biotransformation Reactions by Combined Quantum Mechanical / Molecular Mechanical Approaches: From Structure to Activity. Current Topics in Medicinal Chemistry. 3(11). 1241–1256. 34 indexed citations
17.
Ridder, Lars, Bruce A. Palfey, Jacques Vervoort, & Ivonne M.C.M. Rietjens. (2000). Modelling flavin and substrate substituent effects on the activation barrier and rate of oxygen transfer by p‐hydroxybenzoate hydroxylase. FEBS Letters. 478(1-2). 197–201. 25 indexed citations
18.
Ridder, Lars, Adrian J. Mulholland, Ivonne M.C.M. Rietjens, & Jacques Vervoort. (1999). Combined quantum mechanical and molecular mechanical reaction pathway calculation for aromatic hydroxylation by p-hydroxybenzoate-3-hydroxylase. Journal of Molecular Graphics and Modelling. 17(3-4). 163–175. 33 indexed citations
19.
Ridder, Lars, Fabrizio Briganti, Marelle G. Boersma, et al.. (1998). Quantitative structure/activity relationship for the rate of conversion of C4−substituted catechols by catechol‐1,2‐dioxygenase from Pseudomonas putida (arvilla) C1. European Journal of Biochemistry. 257(1). 92–100. 19 indexed citations
20.
Vervoort, Jacques, Lars Ridder, Willem J. H. van Berkel, & Ivonne M.C.M. Rietjens. (1997). Flavoprotein monooxygenases: mechanistic overview.. Socio-Environmental Systems Modeling. 281–292. 2 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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