Guillaume J. van Eys

701 total citations
11 papers, 582 citations indexed

About

Guillaume J. van Eys is a scholar working on Molecular Biology, Cell Biology and Parasitology. According to data from OpenAlex, Guillaume J. van Eys has authored 11 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Parasitology. Recurrent topics in Guillaume J. van Eys's work include Leptospirosis research and findings (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Blood properties and coagulation (2 papers). Guillaume J. van Eys is often cited by papers focused on Leptospirosis research and findings (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Blood properties and coagulation (2 papers). Guillaume J. van Eys collaborates with scholars based in Netherlands, United States and Tunisia. Guillaume J. van Eys's co-authors include Gert Schaart, Frans C. S. Ramaekers, Erika Timmer, Petra Niessen, Sander S. Rensen, W. J. Terpstra, Wim Quint, Marion Cornelissen, Jan ter Schegget and Claudia Gravekamp and has published in prestigious journals such as Circulation, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Guillaume J. van Eys

11 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guillaume J. van Eys Netherlands 9 207 150 97 70 58 11 582
Ron Peek Netherlands 21 421 2.0× 287 1.9× 44 0.5× 143 2.0× 185 3.2× 39 1.1k
Masami Uechi Japan 12 93 0.4× 75 0.5× 134 1.4× 39 0.6× 15 0.3× 34 482
Ann F. Hofbauer United States 13 123 0.6× 160 1.1× 135 1.4× 213 3.0× 73 1.3× 22 633
Hisashi Shibuya Japan 15 167 0.8× 35 0.2× 70 0.7× 39 0.6× 76 1.3× 64 635
Ivana Majstorović Serbia 14 134 0.6× 88 0.6× 66 0.7× 98 1.4× 13 0.2× 31 554
H. Takamiya Japan 14 209 1.0× 76 0.5× 32 0.3× 66 0.9× 28 0.5× 38 817
Joanna E. Klementowicz United Kingdom 7 152 0.7× 90 0.6× 46 0.5× 33 0.5× 27 0.5× 7 527
Chunmei Wang China 15 251 1.2× 193 1.3× 36 0.4× 38 0.5× 46 0.8× 33 608
Laura Cavicchioli Italy 14 99 0.5× 39 0.3× 108 1.1× 74 1.1× 20 0.3× 49 566
Irene Nepomnaschy Argentina 14 262 1.3× 64 0.4× 167 1.7× 37 0.5× 12 0.2× 33 1.2k

Countries citing papers authored by Guillaume J. van Eys

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume J. van Eys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guillaume J. van Eys. 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 Guillaume J. van Eys. The network helps show where Guillaume J. van Eys may publish in the future.

Co-authorship network of co-authors of Guillaume J. van Eys

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

All Works

11 of 11 papers shown
1.
Dirkx, Ellen, Freek G. Bouwman, Didier Vertommen, et al.. (2013). Detection of cardiac myosin binding protein-C (cMyBP-C) by a phospho-specific PKD antibody in contracting rat cardiomyocytes. Advances in Bioscience and Biotechnology. 4(4). 1–6. 4 indexed citations
2.
Rensen, Sander S., Petra Niessen, Jan M. van Deursen, et al.. (2008). Smoothelin-B Deficiency Results in Reduced Arterial Contractility, Hypertension, and Cardiac Hypertrophy in Mice. Circulation. 118(8). 828–836. 38 indexed citations
3.
Eys, Guillaume J. van, Petra Niessen, & Sander S. Rensen. (2007). Smoothelin in Vascular Smooth Muscle Cells. Trends in Cardiovascular Medicine. 17(1). 26–30. 83 indexed citations
4.
Schaart, Gert, et al.. (1996). Smoothelin, a novel cytoskeletal protein specific for smooth muscle cells.. The Journal of Cell Biology. 134(2). 401–411. 211 indexed citations
5.
Meulemans, Els V., et al.. (1995). Phage displayed antibodies specific for a cytoskeletal antigen. Selection by competitive elution with a monoclonal antibody.. PubMed. 6(3). 113–8. 6 indexed citations
6.
Meulemans, Els V., et al.. (1995). Phage displayed antibodies specific for a cytoskeletal antigen. Selection by competitive elution with a monoclonal antibody. Human Antibodies. 6(3). 113–118. 9 indexed citations
7.
Guizani, Ikram, Guillaume J. van Eys, Razali Ismail, & Koussay Dellagi. (1994). Use of Recombinant DNA Probes for Species Identification of Old World Leishmania Isolates. American Journal of Tropical Medicine and Hygiene. 50(5). 632–640. 27 indexed citations
8.
Segers, Ruud, et al.. (1992). Presence of putative sphingomyelinase genes among members of the family Leptospiraceae. Infection and Immunity. 60(4). 1707–1710. 24 indexed citations
9.
10.
Eys, Guillaume J. van, Claudia Gravekamp, Wim Quint, et al.. (1989). Detection of leptospires in urine by polymerase chain reaction. Journal of Clinical Microbiology. 27(10). 2258–2262. 122 indexed citations
11.
Krimpenfort, Paul, Gert Schaart, Frank Pieper, et al.. (1988). Tissue-specific expression of a vimentin-desmin hybrid gene in transgenic mice.. The EMBO Journal. 7(4). 941–947. 29 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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