Peter Thijssen

3.2k total citations · 1 hit paper
68 papers, 1.9k citations indexed

About

Peter Thijssen is a scholar working on Sociology and Political Science, Political Science and International Relations and Molecular Biology. According to data from OpenAlex, Peter Thijssen has authored 68 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Sociology and Political Science, 21 papers in Political Science and International Relations and 10 papers in Molecular Biology. Recurrent topics in Peter Thijssen's work include Electoral Systems and Political Participation (13 papers), Risk Perception and Management (12 papers) and Social Media and Politics (5 papers). Peter Thijssen is often cited by papers focused on Electoral Systems and Political Participation (13 papers), Risk Perception and Management (12 papers) and Social Media and Politics (5 papers). Peter Thijssen collaborates with scholars based in Belgium, Netherlands and United States. Peter Thijssen's co-authors include Tanja Perko, Silvère M. van der Maarel, Wouter Van Dooren, P. Eline Slagboom, Jelle J. Goeman, Ramin Monajemi, Patrick F. A. van Erkel, Elmar W. Tobi, Rinse Klooster and Hein Putter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Peter Thijssen

61 papers receiving 1.8k citations

Hit Papers

DNA methylation signatures link prenatal famine exposure ... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Thijssen Belgium 23 713 307 277 265 211 68 1.9k
Sarah Finer United Kingdom 29 943 1.3× 745 2.4× 434 1.6× 22 0.1× 210 1.0× 97 3.4k
Bill Taylor United Kingdom 26 216 0.3× 342 1.1× 91 0.3× 56 0.2× 369 1.7× 124 2.3k
Karine Tremblay Canada 25 1.4k 2.0× 86 0.3× 60 0.2× 20 0.1× 213 1.0× 71 3.1k
Peter A. Walker United States 30 497 0.7× 355 1.2× 56 0.2× 344 1.3× 62 0.3× 103 2.8k
Joseph Boyle United States 18 731 1.0× 143 0.5× 36 0.1× 25 0.1× 351 1.7× 92 2.0k
David Whiteman United States 24 340 0.5× 88 0.3× 130 0.5× 67 0.3× 585 2.8× 72 1.6k
Michal Barák Israel 26 798 1.1× 637 2.1× 32 0.1× 77 0.3× 61 0.3× 77 3.8k
J. M. Bernstein United States 18 270 0.4× 574 1.9× 105 0.4× 32 0.1× 187 0.9× 56 1.7k
David J. Phillips United States 23 191 0.3× 224 0.7× 288 1.0× 170 0.6× 73 0.3× 49 2.1k
Kim Coleman United States 20 614 0.9× 212 0.7× 83 0.3× 39 0.1× 39 0.2× 46 1.8k

Countries citing papers authored by Peter Thijssen

Since Specialization
Citations

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

Fields of papers citing papers by Peter Thijssen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Thijssen

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Thijssen. A scholar is included among the top collaborators of Peter Thijssen 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 Peter Thijssen. Peter Thijssen 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
3.
Perko, Tanja, et al.. (2023). Measuring societal attitudes and behaviours towards radon indoors: A case study of Slovenia. Journal of Environmental Radioactivity. 272. 107355–107355. 4 indexed citations
4.
Thijssen, Peter, et al.. (2022). Exploring Mediating Motivations for Muslims’ Electoral Preferences. Institutional Repository University of Antwerp (University of Antwerp). 4(2). 159–186. 1 indexed citations
5.
Perko, Tanja, et al.. (2020). Radiation risks and uncertainties: a scoping review to support communication and informed decision-making. Journal of Radiological Protection. 40(2). 612–632. 8 indexed citations
6.
Thijssen, Peter, et al.. (2020). It's All About Solidarity Stupid! How Solidarity Frames Structure the Party Political Sphere. British Journal of Political Science. 52(1). 128–145. 14 indexed citations
7.
Thijssen, Peter, et al.. (2018). The party politics of nuclear energy: Party cues and public opinion regarding nuclear energy in Belgium. Energy Research & Social Science. 47. 192–201. 21 indexed citations
8.
Oğur, Gönül, et al.. (2016). Vesicourethral reflux‐induced renal failure in a patient with ICF syndrome due to a novel DNMT3B mutation. American Journal of Medical Genetics Part A. 170(12). 3253–3257. 2 indexed citations
9.
Wu, Haoyu, Peter Thijssen, Eleonora de Klerk, et al.. (2016). Converging disease genes in ICF syndrome:ZBTB24controls expression ofCDCA7in mammals. Human Molecular Genetics. 25(18). 4041–4051. 46 indexed citations
10.
Typas, Dimitris, Martijn S. Luijsterburg, Wouter W. Wiegant, et al.. (2015). The de-ubiquitylating enzymes USP26 and USP37 regulate homologous recombination by counteracting RAP80. Nucleic Acids Research. 43(14). 6919–6933. 63 indexed citations
11.
Tobi, Elmar W., Jelle J. Goeman, Ramin Monajemi, et al.. (2014). DNA methylation signatures link prenatal famine exposure to growth and metabolism. Nature Communications. 5(1). 5592–5592. 392 indexed citations breakdown →
12.
Thijssen, Peter, Judit Balog, Zizhen Yao, et al.. (2014). DUX4 promotes transcription of FRG2 by directly activating its promoter in facioscapulohumeral muscular dystrophy. Skeletal Muscle. 4(1). 19–19. 21 indexed citations
13.
Deelen, Joris, Marian Beekman, Veryan Codd, et al.. (2014). Leukocyte telomere length associates with prospective mortality independent of immune-related parameters and known genetic markers. International Journal of Epidemiology. 43(3). 878–886. 75 indexed citations
14.
Huijbers, Maartje G., Wei Zhang, Rinse Klooster, et al.. (2013). MuSK IgG4 autoantibodies cause myasthenia gravis by inhibiting binding between MuSK and Lrp4. Proceedings of the National Academy of Sciences. 110(51). 20783–20788. 210 indexed citations
15.
Henneman, Peter, Peter Thijssen, Annemieke Visser, et al.. (2013). Adipocyte telomere length associates negatively with adipocyte size, whereas adipose tissue telomere length associates negatively with the extent of fibrosis in severely obese women. International Journal of Obesity. 38(5). 746–749. 23 indexed citations
16.
Thijssen, Peter, Elmar W. Tobi, Judit Balog, et al.. (2013). Chromatin remodeling of human subtelomeres and TERRA promoters upon cellular senescence. Epigenetics. 8(5). 512–521. 22 indexed citations
17.
Perko, Tanja, et al.. (2012). Is Knowledge Important? Empirical Research on Nuclear Risk Communication in Two Countries. Health Physics. 102(6). 614–625. 32 indexed citations
18.
Thijssen, Peter, et al.. (2011). Tussen contact en bedreiging: etnische diversiteit en etnocentrisme in Antwerpse buurten. Tijdschrift voor Sociologie. 32(2). 2 indexed citations
19.
Meier, Petra, et al.. (2011). De impact van party magnitude op het aantal vrouwelijke verkozenen. Res Publica. 53(2). 141–163. 3 indexed citations
20.
Deelen, Joris, Hae‐Won Uh, Ramin Monajemi, et al.. (2011). Gene set analysis of GWAS data for human longevity highlights the relevance of the insulin/IGF-1 signaling and telomere maintenance pathways. AGE. 35(1). 235–249. 84 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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