Marcel Mulder

518 total citations
8 papers, 401 citations indexed

About

Marcel Mulder is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Marcel Mulder has authored 8 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Oncology. Recurrent topics in Marcel Mulder's work include Protein Kinase Regulation and GTPase Signaling (1 paper), DNA Repair Mechanisms (1 paper) and BRCA gene mutations in cancer (1 paper). Marcel Mulder is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (1 paper), DNA Repair Mechanisms (1 paper) and BRCA gene mutations in cancer (1 paper). Marcel Mulder collaborates with scholars based in Netherlands, United Kingdom and Germany. Marcel Mulder's co-authors include Gerrit van der Steege, Alistair S. Hall, Pim van der Harst, Adriaan A. Voors, Wiek H. van Gilst, Rudolf A. de Boer, Dirk J. van Veldhuisen, Ilja M. Nolte, Marcel Bruinenberg and Marja G. L. Brinker and has published in prestigious journals such as Journal of the American College of Cardiology, International Journal of Cancer and Journal of Investigative Dermatology.

In The Last Decade

Marcel Mulder

8 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcel Mulder Netherlands 7 198 137 115 74 56 8 401
Amparo Serna United States 6 126 0.6× 159 1.2× 81 0.7× 12 0.2× 10 0.2× 10 349
N. Vienney France 5 72 0.4× 94 0.7× 61 0.5× 37 0.5× 12 0.2× 7 292
Julia W. Grimstead United Kingdom 12 246 1.2× 256 1.9× 31 0.3× 6 0.1× 22 0.4× 20 420
Sandra Rodríguez-López United States 9 72 0.4× 111 0.8× 89 0.8× 11 0.1× 8 0.1× 13 267
Sweena M. Chaudhari Germany 8 56 0.3× 86 0.6× 255 2.2× 41 0.6× 8 0.1× 8 444
Valeria Lodde Italy 8 84 0.4× 169 1.2× 65 0.6× 6 0.1× 23 0.4× 15 307
Sylwia Grodecka-Gazdecka Poland 11 71 0.4× 182 1.3× 53 0.5× 7 0.1× 13 0.2× 35 376
Martina Stagno d’Alcontres United Kingdom 8 306 1.5× 281 2.1× 25 0.2× 6 0.1× 39 0.7× 10 473
Makandjou-Ola Eusebio Poland 9 105 0.5× 45 0.3× 69 0.6× 8 0.1× 9 0.2× 22 255
Omid Omrani Germany 8 36 0.2× 151 1.1× 36 0.3× 3 0.0× 10 0.2× 19 272

Countries citing papers authored by Marcel Mulder

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Mulder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Mulder

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

All Works

8 of 8 papers shown
1.
Groeneweg, Judith A., Marcel Mulder, Hennie Bikker, et al.. (2014). Functional assessment of potential splice site variants in arrhythmogenic right ventricular dysplasia/cardiomyopathy. Heart Rhythm. 11(11). 2010–2017. 11 indexed citations
2.
Pol, W. Ludo van der, Wim G.M. Spliet, Nicolaas J. G. Jansen, et al.. (2013). Nemaline myopathy caused by TNNT1 mutations in a Dutch pedigree. Molecular Genetics & Genomic Medicine. 2(2). 134–137. 35 indexed citations
3.
Harst, Pim van der, Gerrit van der Steege, Rudolf A. de Boer, et al.. (2007). Telomere Length of Circulating Leukocytes Is Decreased in Patients With Chronic Heart Failure. Journal of the American College of Cardiology. 49(13). 1459–1464. 223 indexed citations
4.
Jong, Mirjam M. de, Ilja M. Nolte, Gerard J. te Meerman, et al.. (2005). Colorectal cancer and the CHEK2 1100delC mutation. Genes Chromosomes and Cancer. 43(4). 377–382. 24 indexed citations
5.
Foerster, John, Ilja M. Nolte, Marcel Bruinenberg, et al.. (2005). Haplotype Sharing Analysis Identifies a Retroviral dUTPase as Candidate Susceptibility Gene for Psoriasis. Journal of Investigative Dermatology. 124(1). 99–102. 27 indexed citations
6.
Jong, Mirjam M. de, Marijke Niens, Ilja M. Nolte, et al.. (2005). The Human Leukocyte Antigen Region and Colorectal Cancer Risk. Diseases of the Colon & Rectum. 48(2). 303–306. 6 indexed citations
7.
Foerster, John, Ilja M. Nolte, Susann Schweiger, et al.. (2004). Evaluation of the IRF-2 Gene as a Candidate for PSORS3. Journal of Investigative Dermatology. 122(1). 61–64. 30 indexed citations
8.
McLaughlin, Pamela M.J., Wijnand Helfrich, Klaas Kok, et al.. (2000). The ubiquitin-activating enzyme E1-like protein in lung cancer cell lines. International Journal of Cancer. 85(6). 871–876. 45 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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