Patrick Kemmeren

5.6k total citations · 1 hit paper
55 papers, 3.3k citations indexed

About

Patrick Kemmeren is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Patrick Kemmeren has authored 55 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Patrick Kemmeren's work include Bioinformatics and Genomic Networks (20 papers), Gene expression and cancer classification (13 papers) and Genomics and Chromatin Dynamics (11 papers). Patrick Kemmeren is often cited by papers focused on Bioinformatics and Genomic Networks (20 papers), Gene expression and cancer classification (13 papers) and Genomics and Chromatin Dynamics (11 papers). Patrick Kemmeren collaborates with scholars based in Netherlands, United States and Germany. Patrick Kemmeren's co-authors include Frank C. P. Holstege, Nevan J. Krogan, Jonathan S. Weissman, Sean R. Collins, Philip Lijnzaad, Dik van Leenen, Jack Greenblatt, Xuechu Zhao, Forrest Spencer and Nynke L. van Berkum and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Patrick Kemmeren

55 papers receiving 3.3k citations

Hit Papers

align trajectories

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.

Toward a Comprehensive Atlas of the Physical Interactome of Saccharomyces cerevisiae

2007 618 citations Sean R. Collins, Patrick Kemmeren et al. Molecular & Cellular Proteomics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patrick Kemmeren Netherlands	26	2.8k	368	283	272	249	55	3.3k
Sourav Bandyopadhyay United States	27	2.4k 0.8×	261 0.7×	412 1.5×	237 0.9×	284 1.1×	44	3.4k
Melissa J. Davis Australia	33	2.1k 0.8×	234 0.6×	771 2.7×	268 1.0×	505 2.0×	95	3.3k
Edwin Wang Canada	31	2.1k 0.8×	293 0.8×	267 0.9×	75 0.3×	936 3.8×	87	3.2k
Rainer König Germany	29	2.3k 0.8×	630 1.7×	238 0.8×	109 0.4×	487 2.0×	76	3.2k
Hannah Carter United States	31	2.6k 0.9×	880 2.4×	945 3.3×	293 1.1×	1.3k 5.2×	95	4.4k
Jeremy Gollub United States	14	2.1k 0.8×	275 0.7×	223 0.8×	90 0.3×	599 2.4×	18	3.3k
Rachel Karchin United States	41	4.1k 1.5×	1.6k 4.4×	899 3.2×	194 0.7×	1.6k 6.6×	98	5.9k
Seema Agarwal United States	24	2.3k 0.8×	162 0.4×	563 2.0×	307 1.1×	504 2.0×	47	3.1k
Crispin Miller United Kingdom	38	3.7k 1.3×	365 1.0×	1.1k 3.9×	372 1.4×	1.8k 7.0×	94	5.4k
Nizar N. Batada United Kingdom	22	2.4k 0.9×	326 0.9×	151 0.5×	100 0.4×	173 0.7×	31	2.7k

Countries citing papers authored by Patrick Kemmeren

Since Specialization

Citations

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

Fields of papers citing papers by Patrick Kemmeren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Kemmeren

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

Verwiel, Eugène T.P., Maaike van der Lee, Jesse J. Swen, et al.. (2025). Implementing Pre‐Emptive Pharmacogenetics: Impact of Early Pharmacogenetic Screening in a Pediatric Oncology Cohort of 1,151 Subjects. Clinical Pharmacology & Therapeutics. 118(2). 438–448. 1 indexed citations

Smits, Willem K., Carlo Vermeulen, Shunsuke Kimura, et al.. (2023). Elevated enhancer-oncogene contacts and higher oncogene expression levels by recurrent CTCF inactivating mutations in acute T cell leukemia. Cell Reports. 42(4). 112373–112373. 5 indexed citations

Verwiel, Eugène T.P., Lennart Kester, Jan J. Molenaar, et al.. (2023). Systematic discovery of gene fusions in pediatric cancer by integrating RNA-seq and WGS. BMC Cancer. 23(1). 618–618. 9 indexed citations

Verwiel, Eugène T.P., Ronald R. de Krijger, Hindrik H. D. Kerstens, et al.. (2022). Molecular Characterization Reveals Subclasses of 1q Gain in Intermediate Risk Wilms Tumors. Cancers. 14(19). 4872–4872. 1 indexed citations

Kerstens, Hindrik H. D., et al.. (2022). Trecode: A FAIR Eco-System for the Analysis and Archiving of Omics Data in a Combined Diagnostic and Research Setting. SHILAP Revista de lepidopterología. 3(1). 1–16. 2 indexed citations

Schönhuth, Alexander, et al.. (2021). Structural variant detection in cancer genomes: computational challenges and perspectives for precision oncology. npj Precision Oncology. 5(1). 15–15. 45 indexed citations

Brok, Mariël, et al.. (2020). Genome‐wide off‐rates reveal how DNA binding dynamics shape transcription factor function. Molecular Systems Biology. 16(10). e9885–e9885. 12 indexed citations

Brok, Mariël, et al.. (2020). An Optimized Chromatin Immunoprecipitation Protocol for Quantification of Protein-DNA Interactions. STAR Protocols. 1(1). 100020–100020. 13 indexed citations

Weidema, Marije E., Christian Koelsche, Ingrid M.E. Desar, et al.. (2019). DNA Methylation Profiling Identifies Distinct Clusters in Angiosarcomas. Clinical Cancer Research. 26(1). 93–100. 32 indexed citations

10.

Broek, Roel W. Ten, Christian Koelsche, Astrid Eijkelenboom, et al.. (2019). Kaposiform hemangioendothelioma and tufted angioma – (epi)genetic analysis including genome-wide methylation profiling. Annals of Diagnostic Pathology. 44. 151434–151434. 16 indexed citations

11.

Jansen, Sandra, Janneke Schuurs-Hoeijmakers, David A. Koolen, et al.. (2018). Next-generation phenotyping using computer vision algorithms in rare genomic neurodevelopmental disorders. Genetics in Medicine. 21(8). 1719–1725. 13 indexed citations

12.

Sameith, Katrin, Marian J.A. Groot Koerkamp, Dik van Leenen, et al.. (2015). A high-resolution gene expression atlas of epistasis between gene-specific transcription factors exposes potential mechanisms for genetic interactions. BMC Biology. 13(1). 112–112. 15 indexed citations

13.

Lenstra, Tineke L., Joris J. Benschop, Tae Soo Kim, et al.. (2011). The Specificity and Topology of Chromatin Interaction Pathways in Yeast. Molecular Cell. 42(4). 536–549. 181 indexed citations

14.

Zheng, Jiashun, Joris J. Benschop, Michael Shales, et al.. (2010). Epistatic relationships reveal the functional organization of yeast transcription factors. Molecular Systems Biology. 6(1). 420–420. 41 indexed citations

15.

Halbach, André, Haidi Zhang, Isabel M. L. Gruber, et al.. (2009). Cotranslational assembly of the yeast SET1C histone methyltransferase complex. The EMBO Journal. 28(19). 2959–2970. 65 indexed citations

16.

Collins, Sean R., Patrick Kemmeren, Xuechu Zhao, et al.. (2007). Toward a Comprehensive Atlas of the Physical Interactome of Saccharomyces cerevisiae. Molecular & Cellular Proteomics. 6(3). 439–450. 618 indexed citations breakdown →

17.

Roepman, Paul, Patrick Kemmeren, Lodewijk F.A. Wessels, Piet J. Slootweg, & Frank C. P. Holstege. (2006). Multiple Robust Signatures for Detecting Lymph Node Metastasis in Head and Neck Cancer. Cancer Research. 66(4). 2361–2366. 72 indexed citations

18.

Kapushesky, Misha, Patrick Kemmeren, Aedín C. Culhane, et al.. (2004). Expression Profiler: next generation--an online platform for analysis of microarray data. Nucleic Acids Research. 32(Web Server). W465–W470. 94 indexed citations

19.

Kemmeren, Patrick, Thessa T. J. P. Kockelkorn, Theo Bijma, Rogier Donders, & Frank C. P. Holstege. (2004). Predicting gene function through systematic analysis and quality assessment of high-throughput data. Computer applications in the biosciences. 21(8). 1644–1652. 21 indexed citations

20.

Rocca‐Serra, Philippe, Alvis Brāzma, Helen Parkinson, et al.. (2003). ArrayExpress: a public database of gene expression data at EBI. Comptes Rendus Biologies. 326(10-11). 1075–1078. 67 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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