Patrick R. van den Berg

500 total citations
8 papers, 303 citations indexed

About

Patrick R. van den Berg is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Patrick R. van den Berg has authored 8 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Immunology. Recurrent topics in Patrick R. van den Berg's work include Pluripotent Stem Cells Research (2 papers), Single-cell and spatial transcriptomics (2 papers) and Renal and related cancers (2 papers). Patrick R. van den Berg is often cited by papers focused on Pluripotent Stem Cells Research (2 papers), Single-cell and spatial transcriptomics (2 papers) and Renal and related cancers (2 papers). Patrick R. van den Berg collaborates with scholars based in Netherlands, United States and Switzerland. Patrick R. van den Berg's co-authors include Stefan Semrau, Mazène Hochane, Moray J. Campbell, Susana M. Chuva de Sousa Lopes, Mark D. Long, Xueying Fan, Monika Bialecka, Maaike Nieveen, Prashant K. Singh and Lara E. Sucheston‐Campbell and has published in prestigious journals such as Nucleic Acids Research, Molecular Cell and Oncogene.

In The Last Decade

Patrick R. van den Berg

8 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patrick R. van den Berg Netherlands	8	240	68	62	54	34	8	303
Harini Ramalingam United States	8	223 0.9×	54 0.8×	34 0.5×	114 2.1×	29 0.9×	9	279
Karen Ouyang United States	7	113 0.5×	54 0.8×	35 0.6×	143 2.6×	36 1.1×	17	244
LeeLee Chu Canada	8	281 1.2×	28 0.4×	70 1.1×	77 1.4×	34 1.0×	10	341
Masaki Wake Japan	4	104 0.4×	39 0.6×	19 0.3×	76 1.4×	37 1.1×	7	171
Vineet K. Dhiman United States	7	193 0.8×	52 0.8×	31 0.5×	55 1.0×	33 1.0×	8	274
Tarryn Willmer South Africa	10	200 0.8×	50 0.7×	56 0.9×	49 0.9×	11 0.3×	18	300
Lihua Dong China	5	218 0.9×	78 1.1×	49 0.8×	49 0.9×	12 0.4×	9	311
Roberta Spinelli Italy	11	203 0.8×	110 1.6×	60 1.0×	42 0.8×	14 0.4×	16	301
Andrea Flaten United States	5	205 0.9×	52 0.8×	21 0.3×	135 2.5×	41 1.2×	8	290
Xinchao Pan United States	8	291 1.2×	51 0.8×	52 0.8×	25 0.5×	15 0.4×	10	376

Countries citing papers authored by Patrick R. van den Berg

Since Specialization

Citations

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

Fields of papers citing papers by Patrick R. van den Berg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick R. van den Berg. 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 R. van den Berg. The network helps show where Patrick R. van den Berg may publish in the future.

Co-authorship network of co-authors of Patrick R. van den Berg

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

All Works

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8 of 8 papers shown

Berg, Patrick R. van den, et al.. (2023). Integration of a multi-omics stem cell differentiation dataset using a dynamical model. PLoS Genetics. 19(5). e1010744–e1010744. 8 indexed citations

Mircea, Maria, Patrick R. van den Berg, Mazène Hochane, et al.. (2022). A gastruloid model of the interaction between embryonic and extra-embryonic cell types. Journal of Tissue Engineering. 13. 1768593346–1768593346. 15 indexed citations

Berg, Patrick R. van den, Styliani Markoulaki, Frank Soldner, et al.. (2019). Dynamic Enhancer DNA Methylation as Basis for Transcriptional and Cellular Heterogeneity of ESCs. Molecular Cell. 75(5). 905–920.e6. 68 indexed citations

Hochane, Mazène, Patrick R. van den Berg, Xueying Fan, et al.. (2019). Single-cell transcriptomics reveals gene expression dynamics of human fetal kidney development. PLoS Biology. 17(2). e3000152–e3000152. 95 indexed citations

Messemaker, Tobias, Patrick R. van den Berg, Robert‐Jan Palstra, et al.. (2018). Allele-specific repression of Sox2 through the long non-coding RNA Sox2ot. Scientific Reports. 8(1). 386–386. 23 indexed citations

Long, Mark D., Prashant K. Singh, James R. Russell, et al.. (2018). The miR-96 and RARγ signaling axis governs androgen signaling and prostate cancer progression. Oncogene. 38(3). 421–444. 38 indexed citations

Singh, Prashant Kumar, Patrick R. van den Berg, Mark D. Long, et al.. (2017). Integration of VDR genome wide binding and GWAS genetic variation data reveals co-occurrence of VDR and NF-κB binding that is linked to immune phenotypes. BMC Genomics. 18(1). 132–132. 36 indexed citations

Long, Mark D., et al.. (2015). Integrative genomic analysis in K562 chronic myelogenous leukemia cells reveals that proximal NCOR1 binding positively regulates genes that govern erythroid differentiation and Imatinib sensitivity. Nucleic Acids Research. 43(15). 7330–7348. 20 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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