Erik Willems

2.8k total citations
33 papers, 1.9k citations indexed

About

Erik Willems is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Erik Willems has authored 33 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 10 papers in Surgery and 4 papers in Immunology. Recurrent topics in Erik Willems's work include Pluripotent Stem Cells Research (14 papers), Congenital heart defects research (12 papers) and Tissue Engineering and Regenerative Medicine (8 papers). Erik Willems is often cited by papers focused on Pluripotent Stem Cells Research (14 papers), Congenital heart defects research (12 papers) and Tissue Engineering and Regenerative Medicine (8 papers). Erik Willems collaborates with scholars based in United States, Belgium and Netherlands. Erik Willems's co-authors include Luc Leyns, Jo Vandesompele, Mark Mercola, Caroline Kemp, John R. Cashman, Marion Lanier, Marijke Hendrickx, Shaaban Abdo, Sean Spiering and Alexandre R. Colas and has published in prestigious journals such as Journal of Neuroscience, Genes & Development and Circulation Research.

In The Last Decade

Erik Willems

31 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik Willems United States 23 1.4k 337 201 191 173 33 1.9k
Rosa M. Marión Spain 20 2.5k 1.8× 207 0.6× 99 0.5× 169 0.9× 291 1.7× 22 3.1k
Akiko Mori Japan 20 755 0.5× 314 0.9× 134 0.7× 97 0.5× 145 0.8× 87 1.5k
Yuichiro Miyaoka Japan 14 1.0k 0.7× 415 1.2× 83 0.4× 276 1.4× 98 0.6× 22 1.8k
Leo Zeef United Kingdom 28 1.5k 1.1× 294 0.9× 660 3.3× 233 1.2× 257 1.5× 59 2.9k
Manuela Haltmeier Germany 8 1.3k 0.9× 123 0.4× 248 1.2× 354 1.9× 261 1.5× 8 2.0k
Mi‐Ok Lee South Korea 24 1.1k 0.8× 274 0.8× 345 1.7× 153 0.8× 64 0.4× 65 1.9k
Charlie Xiang United States 26 1.2k 0.8× 462 1.4× 74 0.4× 113 0.6× 232 1.3× 44 2.2k
Zhaohui Wang China 22 864 0.6× 130 0.4× 102 0.5× 158 0.8× 95 0.5× 49 1.3k
Bing Zhou China 28 2.0k 1.4× 138 0.4× 519 2.6× 160 0.8× 200 1.2× 85 2.9k

Countries citing papers authored by Erik Willems

Since Specialization
Citations

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

Fields of papers citing papers by Erik Willems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Willems

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Willems. A scholar is included among the top collaborators of Erik Willems 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 Erik Willems. Erik Willems 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.
Willems, Erik, et al.. (2025). Elucidating the metalation pathway of the Ec-1 metallothionein βE-domain: Insights into ZnII binding and protein folding. Journal of Inorganic Biochemistry. 270. 112931–112931.
2.
Kılınç, Murat, Camilo Rojas, Adrian Reich, et al.. (2020). SYNGAP1Controls the Maturation of Dendrites, Synaptic Function, and Network Activity in Developing Human Neurons. Journal of Neuroscience. 40(41). 7980–7994. 43 indexed citations
3.
Sridharan, BanuPriya, Murat Kılınç, Erik Willems, et al.. (2019). A Simple Procedure for Creating Scalable Phenotypic Screening Assays in Human Neurons. Scientific Reports. 9(1). 9000–9000. 16 indexed citations
4.
Martinez‐Fernandez, Almudena, et al.. (2015). Cholesterol-derived glucocorticoids control early fate specification in embryonic stem cells. Stem Cell Research. 15(1). 88–95. 3 indexed citations
5.
Spiering, Sean, et al.. (2014). High Content Screening for Modulators of Cardiac Differentiation in Human Pluripotent Stem Cells. Methods in molecular biology. 1263. 43–61. 3 indexed citations
6.
Kemp, Caroline, et al.. (2014). Whole-Mount In Situ Hybridization (WISH) Optimized for Gene Expression Analysis in Mouse Embryos and Embryoid Bodies. Methods in molecular biology. 1211. 27–40. 4 indexed citations
7.
Banerjee, Indroneal, Ricardo Serrano, Roman Šášik, et al.. (2014). Cyclic stretch of embryonic cardiomyocytes increases proliferation, growth, and expression while repressing Tgf-β signaling. Journal of Molecular and Cellular Cardiology. 79. 133–144. 52 indexed citations
8.
Bhargava, Vipul, Pang Ko, Erik Willems, Mark Mercola, & Shankar Subramaniam. (2013). Quantitative Transcriptomics using Designed Primer-based Amplification. Scientific Reports. 3(1). 1740–1740. 31 indexed citations
9.
Cai, Wenqing, Sonia Albini, Ke Wei, et al.. (2013). Coordinate Nodal and BMP inhibition directs Baf60c-dependent cardiomyocyte commitment. Genes & Development. 27(21). 2332–2344. 40 indexed citations
10.
Willems, Erik, Dennis Schade, Wenqing Cai, et al.. (2012). Small Molecule-Mediated TGF-β Type II Receptor Degradation Promotes Cardiomyogenesis in Embryonic Stem Cells. Cell stem cell. 11(2). 242–252. 106 indexed citations
11.
Willems, Erik, Paul Bushway, & Mark Mercola. (2009). Natural and Synthetic Regulators of Embryonic Stem Cell Cardiogenesis. Pediatric Cardiology. 30(5). 635–642. 42 indexed citations
12.
Willems, Erik, Luc Leyns, & Jo Vandesompele. (2008). Standardization of real-time PCR gene expression data from independent biological replicates. Analytical Biochemistry. 379(1). 127–129. 413 indexed citations
13.
14.
Hendrickx, Marijke, et al.. (2008). An optimized procedure for whole-mount in situ hybridization on mouse embryos and embryoid bodies. Nature Protocols. 3(7). 1194–1201. 69 indexed citations
15.
Kemp, Caroline, et al.. (2007). Expression of Frizzled5, Frizzled7, and Frizzled10 during early mouse development and interactions with canonical Wnt signaling. Developmental Dynamics. 236(7). 2011–2019. 67 indexed citations
16.
Métioui, Mourad, et al.. (2007). Wnt3a binds to several sFRPs in the nanomolar range. Biochemical and Biophysical Research Communications. 357(4). 1119–1123. 90 indexed citations
17.
Willems, Erik, Ileana Mateizel, Caroline Kemp, et al.. (2006). Selection of reference genes in mouse embryos and in differentiating human and mouse ES cells. The International Journal of Developmental Biology. 50(7). 627–635. 105 indexed citations
18.
Kemp, Caroline, et al.. (2005). Expression of all Wnt genes and their secreted antagonists during mouse blastocyst and postimplantation development. Developmental Dynamics. 233(3). 1064–1075. 183 indexed citations
19.
Vermijlen, David, Dianzhong Luo, Christopher J. Froelich, et al.. (2004). Pit cells exclusively kill P815 tumor cells by the perforin/granzyme pathway. PubMed. 3(S1). S58–S58. 2 indexed citations
20.
Luo, Dianzhong, Karin Vanderkerken, David Vermijlen, et al.. (2001). Rat Hepatic Natural Killer Cells (Pit Cells) Express mRNA and Protein Similar to in Vitro Interleukin-2 Activated Spleen Natural Killer Cells. Cellular Immunology. 210(1). 41–48. 13 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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