Marc Pybus

3.4k total citations
24 papers, 738 citations indexed

About

Marc Pybus is a scholar working on Genetics, Molecular Biology and Nephrology. According to data from OpenAlex, Marc Pybus has authored 24 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 12 papers in Molecular Biology and 6 papers in Nephrology. Recurrent topics in Marc Pybus's work include Genetic Associations and Epidemiology (7 papers), Renal Diseases and Glomerulopathies (5 papers) and Renal and related cancers (4 papers). Marc Pybus is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Renal Diseases and Glomerulopathies (5 papers) and Renal and related cancers (4 papers). Marc Pybus collaborates with scholars based in Spain, United States and United Kingdom. Marc Pybus's co-authors include Jaume Bertranpetit, Hafid Laayouni, Pierre Luisi, Giovanni Marco Dall’Olio, Johannes Engelken, Ferrán Casals, Pavlos Pavlidis, Carles Lalueza‐Fox, Elisabet Ars and David Comas and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.

In The Last Decade

Marc Pybus

23 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Pybus Spain 13 437 308 96 72 65 24 738
Shintaroh Ueda Japan 20 378 0.9× 612 2.0× 109 1.1× 10 0.1× 58 0.9× 59 1.0k
María Pilar Aluja Spain 15 356 0.8× 345 1.1× 96 1.0× 3 0.0× 26 0.4× 42 667
Søren Nørby Denmark 13 701 1.6× 638 2.1× 149 1.6× 32 0.4× 54 0.8× 31 1.2k
Brian K. Maples United States 4 688 1.6× 189 0.6× 70 0.7× 4 0.1× 23 0.4× 4 856
Asan China 18 538 1.2× 689 2.2× 15 0.2× 9 0.1× 6 0.1× 31 1.2k
K Omoto Japan 18 461 1.1× 306 1.0× 149 1.6× 4 0.1× 20 0.3× 50 1.0k
Dongsheng Lu China 19 497 1.1× 287 0.9× 88 0.9× 5 0.1× 36 0.6× 37 764
Silva Da Brazil 15 424 1.0× 279 0.9× 69 0.7× 10 0.1× 20 0.3× 82 793
Graham McVicker United States 13 948 2.2× 1.5k 4.8× 19 0.2× 8 0.1× 21 0.3× 23 2.2k
Boon‐Peng Hoh Malaysia 15 315 0.7× 331 1.1× 33 0.3× 4 0.1× 16 0.2× 60 850

Countries citing papers authored by Marc Pybus

Since Specialization
Citations

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

Fields of papers citing papers by Marc Pybus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Pybus

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Pybus. A scholar is included among the top collaborators of Marc Pybus 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 Marc Pybus. Marc Pybus 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.
Torrá, Roser, Xoana Barros, Montserrat M. Díaz Encarnación, et al.. (2025). When should the nephrologist think about genetics in patients with glomerular diseases?. Clinical Kidney Journal. 18(3). sfaf044–sfaf044.
2.
Furlano, Mónica, Marc Pybus, Víctor Martínez, et al.. (2024). Increased prevalence of kidney cysts in individuals carrying heterozygous COL4A3 or COL4A4 pathogenic variants. Nephrology Dialysis Transplantation. 39(9). 1442–1448. 7 indexed citations
3.
Fraga, Gloria, Marc Pybus, Miriam Aza‐Carmona, et al.. (2024). A Mild Presentation of X-Linked Hypophosphatemia Caused by a Non-Canonical Splice Site Variant in the PHEX Gene. Genes. 15(6). 679–679. 1 indexed citations
4.
Pybus, Marc, Gemma Bullich, Mónica Furlano, et al.. (2021). Clinical utility of genetic testing in early-onset kidney disease: seven genes are the main players. Nephrology Dialysis Transplantation. 37(4). 687–696. 47 indexed citations
5.
Furlano, Mónica, Ferràn Torres, Marc Pybus, et al.. (2021). Comparative analysis of tools to predict rapid progression in autosomal dominant polycystic kidney disease. Clinical Kidney Journal. 15(5). 912–921. 6 indexed citations
6.
Furlano, Mónica, Víctor Martínez, Marc Pybus, et al.. (2021). Clinical and Genetic Features of Autosomal Dominant Alport Syndrome: A Cohort Study. American Journal of Kidney Diseases. 78(4). 560–570.e1. 60 indexed citations
7.
Kanoun, Houda, Patricia Ruíz, Marc Pybus, et al.. (2021). Next-generation sequencing in patients with familial FSGS: first report of collagen gene mutations in Tunisian patients. Journal of Human Genetics. 66(8). 795–803. 6 indexed citations
8.
9.
Mattle‐Greminger, Maja P., Tugce Bilgin Sonay, Alexander Nater, et al.. (2018). Genomes reveal marked differences in the adaptive evolution between orangutan species. Genome biology. 19(1). 193–193. 15 indexed citations
10.
Kráľová-Hromadová, Ivica, Eva Bazsalovicsová, Gabriel Minárik, et al.. (2016). Population structure and dispersal routes of an invasive parasite, Fascioloides magna, in North America and Europe. Parasites & Vectors. 9(1). 547–547. 13 indexed citations
11.
Mondal, Mayukh, Ferrán Casals, Tina Xu, et al.. (2016). Genomic analysis of Andamanese provides insights into ancient human migration into Asia and adaptation. Nature Genetics. 48(9). 1066–1070. 86 indexed citations
12.
Cagan, Alex, Christoph Theunert, Hafid Laayouni, et al.. (2016). Natural Selection in the Great Apes. Molecular Biology and Evolution. 33(12). 3268–3283. 50 indexed citations
13.
Luisi, Pierre, David Alvarez‐Ponce, Marc Pybus, et al.. (2015). Recent Positive Selection Has Acted on Genes Encoding Proteins with More Interactions within the Whole Human Interactome. Genome Biology and Evolution. 7(4). 1141–1154. 41 indexed citations
14.
Pybus, Marc, Pierre Luisi, Giovanni Marco Dall’Olio, et al.. (2015). Hierarchical boosting: a machine-learning framework to detect and classify hard selective sweeps in human populations. Bioinformatics. 31(24). 3946–3952. 65 indexed citations
15.
Colonna, Vincenza, Qasim Ayub, Yuan Chen, et al.. (2014). Human genomic regions with exceptionally high levels of population differentiation identified from 911 whole-genome sequences. Genome biology. 15(6). R88–R88. 52 indexed citations
16.
Engelken, Johannes, Elena Carnero‐Montoro, Marc Pybus, et al.. (2014). Extreme Population Differences in the Human Zinc Transporter ZIP4 (SLC39A4) Are Explained by Positive Selection in Sub-Saharan Africa. PLoS Genetics. 10(2). e1004128–e1004128. 26 indexed citations
17.
Utro, Filippo, Marc Pybus, & Laxmi Parida. (2013). Sum of parts is greater than the whole: inference of common genetic history of populations. BMC Genomics. 14(S1). S10–S10. 2 indexed citations
18.
Pybus, Marc, Giovanni Marco Dall’Olio, Pierre Luisi, et al.. (2013). 1000 Genomes Selection Browser 1.0: a genome browser dedicated to signatures of natural selection in modern humans. Nucleic Acids Research. 42(D1). D903–D909. 103 indexed citations
19.
Javed, Asif, Marta Melé, Marc Pybus, et al.. (2011). Recombination networks as genetic markers in a human variation study of the Old World. Human Genetics. 131(4). 601–613. 1 indexed citations
20.
Melé, Marta, et al.. (2010). A New Method to Reconstruct Recombination Events at a Genomic Scale. PLoS Computational Biology. 6(11). e1001010–e1001010. 7 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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