Marcel Reinders

22.5k total citations · 3 hit papers
298 papers, 11.1k citations indexed

About

Marcel Reinders is a scholar working on Molecular Biology, Genetics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marcel Reinders has authored 298 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 176 papers in Molecular Biology, 43 papers in Genetics and 29 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marcel Reinders's work include Gene expression and cancer classification (56 papers), Bioinformatics and Genomic Networks (54 papers) and Single-cell and spatial transcriptomics (31 papers). Marcel Reinders is often cited by papers focused on Gene expression and cancer classification (56 papers), Bioinformatics and Genomic Networks (54 papers) and Single-cell and spatial transcriptomics (31 papers). Marcel Reinders collaborates with scholars based in Netherlands, United States and United Kingdom. Marcel Reinders's co-authors include Lodewyk F.A. Wessels, Arjen P. de Vries, E. Backer, Cor J. Veenman, Ahmed Mahfouz, Dick de Ridder, Jun Wang, Marc Hulsman, Wouter Meuleman and Tamim Abdelaal and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Marcel Reinders

289 papers receiving 10.7k 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.

Molecular Maps of the Reorganization of Genome-Nuclear Lamina Interactions during Differentiation

2010 763 citations Marcel Reinders, Lodewyk F.A. Wessels et al. profile →
Unifying user-based and item-based collaborative filtering approaches by similarity fusion

2006 553 citations Marcel Reinders et al. profile →
A comparison of automatic cell identification methods for single-cell RNA sequencing data

2019 346 citations Tamim Abdelaal, Lieke Michielsen et al. profile →

Author Peers

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

Author						Papers	Cites
Marcel Reinders	5.9k	1.2k	1.1k	1.1k	1.0k	298	11.1k
Jianxin Wang	10.3k 1.8×	2.1k 1.8×	1.4k 1.2×	630 0.6×	2.2k 2.2×	1.1k	22.1k
Píetro Lió	5.8k 1.0×	1.5k 1.3×	506 0.4×	1.2k 1.2×	347 0.3×	444	12.8k
Hua Liu	3.4k 0.6×	1.8k 1.5×	884 0.8×	330 0.3×	781 0.8×	308	10.4k
Kevin Lin	4.2k 0.7×	1.2k 1.0×	1.6k 1.4×	617 0.6×	1.0k 1.0×	333	12.8k
István Albert	5.7k 1.0×	698 0.6×	351 0.3×	723 0.7×	575 0.6×	122	11.6k
Ron Shamir	10.7k 1.8×	1.7k 1.4×	465 0.4×	1.9k 1.8×	1.2k 1.2×	296	15.1k
Hiroaki Kitano	8.7k 1.5×	1.6k 1.4×	955 0.8×	1.0k 1.0×	531 0.5×	285	15.6k
David K. Gifford	14.5k 2.5×	1.5k 1.2×	400 0.4×	2.3k 2.2×	1.2k 1.1×	159	20.7k
Donna K. Slonim	10.5k 1.8×	2.4k 2.1×	1.2k 1.1×	1.1k 1.1×	1.2k 1.2×	68	13.8k
Yvan Saeys	8.5k 1.4×	2.1k 1.8×	1.0k 0.9×	732 0.7×	1.1k 1.1×	196	16.4k

Countries citing papers authored by Marcel Reinders

Since Specialization

Citations

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

Fields of papers citing papers by Marcel Reinders

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Reinders

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel Reinders. A scholar is included among the top collaborators of Marcel Reinders 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 Marcel Reinders. Marcel Reinders 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

Michielsen, Lieke, Marcel Reinders, & Ahmed Mahfouz. (2024). Predicting cell population-specific gene expression from genomic sequence. SHILAP Revista de lepidopterología. 4. 1347276–1347276. 1 indexed citations

Salazar, Alex, Niccoló Tesi, Yolande A.L. Pijnenburg, et al.. (2024). An AluYb8 mobile element characterises the risk haplotype of the TMEM106B locus associated with neurodegeneration. Alzheimer s & Dementia. 20(S1). e090857–e090857. 1 indexed citations

Jongbloed, Elisabeth M., Maurice P.H.M. Jansen, Vanja de Weerd, et al.. (2023). Machine learning-based somatic variant calling in cell-free DNA of metastatic breast cancer patients using large NGS panels. Scientific Reports. 13(1). 10424–10424. 2 indexed citations

Zhang, Meng, et al.. (2023). Identifying Aging and Alzheimer Disease–Associated Somatic Variations in Excitatory Neurons From the Human Frontal Cortex. Neurology Genetics. 9(3). e200066–e200066. 2 indexed citations

Abdelaal, Tamim, et al.. (2022). scMoC: single-cell multi-omics clustering. Bioinformatics Advances. 2(1). vbac011–vbac011. 6 indexed citations

Cordes, Martijn, Kirsten Canté-Barrett, Erik B. van den Akker, et al.. (2022). Single-cell immune profiling reveals thymus-seeding populations, T cell commitment, and multilineage development in the human thymus. Science Immunology. 7(77). eade0182–eade0182. 35 indexed citations

Bonifati, Vincenzo, et al.. (2022). Correcting Differential Gene Expression Analysis for Cyto—Architectural Alterations in Substantia Nigra of Parkinson’s Disease Patients Reveals Known and Potential Novel Disease—Associated Genes and Pathways. Cells. 11(2). 198–198. 1 indexed citations

Dzyubachyk, Oleh, Jeroen van der Grond, Anne Hafkemeijer, et al.. (2021). Cingulate networks associated with gray matter loss in Parkinson's disease show high expression of cholinergic genes in the healthy brain. European Journal of Neuroscience. 53(11). 3727–3739. 5 indexed citations

Mourragui, Soufiane, Marco Loog, Daniël J. Vis, et al.. (2021). Predicting patient response with models trained on cell lines and patient-derived xenografts by nonlinear transfer learning. Proceedings of the National Academy of Sciences. 118(49). 24 indexed citations

10.

Tesi, Niccoló, Sven J. van der Lee, Marc Hulsman, Henne Holstege, & Marcel Reinders. (2021). snpXplorer: a web application to explore human SNP-associations and annotate SNP-sets. Nucleic Acids Research. 49(W1). W603–W612. 20 indexed citations

11.

Tesi, Niccoló, Marc Hulsman, Iris E. Jansen, et al.. (2021). Pathway-specific polygenic risk score of AD-associated genetic variants associated with AD risk, resilience against AD, and progression to AD. Pure Amsterdam UMC. 1 indexed citations

12.

Mustafa, Dana A. M., et al.. (2021). Robust deep learning model for prognostic stratification of pancreatic ductal adenocarcinoma patients. iScience. 24(12). 103415–103415. 12 indexed citations

13.

Abdelaal, Tamim, Soufiane Mourragui, Ahmed Mahfouz, & Marcel Reinders. (2020). SpaGE: Spatial Gene Enhancement using scRNA-seq. Nucleic Acids Research. 48(18). e107–e107. 122 indexed citations

14.

Abdelaal, Tamim, et al.. (2020). SCHNEL: scalable clustering of high dimensional single-cell data. Bioinformatics. 36(Supplement_2). i849–i856. 4 indexed citations

15.

Reinders, Marcel, et al.. (2020). Untangling biological factors influencing trajectory inference from single cell data. NAR Genomics and Bioinformatics. 2(3). lqaa053–lqaa053. 6 indexed citations

16.

Reinders, Marcel, et al.. (2019). Metric learning on expression data for gene function prediction. Bioinformatics. 36(4). 1182–1190. 14 indexed citations

17.

Mourragui, Soufiane, Marco Loog, Mark A. van de Wiel, Marcel Reinders, & Lodewyk F.A. Wessels. (2019). PRECISE: a domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors. Bioinformatics. 35(14). i510–i519. 45 indexed citations

18.

Gehrmann, Thies, Robin A. Ohm, Aurin M. Vos, et al.. (2018). Nucleus-specific expression in the multinuclear mushroom-forming fungus Agaricus bisporus reveals different nuclear regulatory programs. Proceedings of the National Academy of Sciences. 115(17). 4429–4434. 52 indexed citations

19.

Horlings, Hugo M., Carmen Lai, Dimitry S.A. Nuyten, et al.. (2010). Integration of DNA Copy Number Alterations and Prognostic Gene Expression Signatures in Breast Cancer Patients. Clinical Cancer Research. 16(2). 651–663. 48 indexed citations

20.

Wessels, Lodewyk F.A., Marcel Reinders, A.A.M. Hart, et al.. (2005). A protocol for building and evaluating predictors of disease state based on microarray data. Computer applications in the biosciences. 21(19). 3755–3762. 106 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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