Jan R. Slabbaert

8 total papers · 616 total citations
7 papers, 474 citations indexed

About

Jan R. Slabbaert is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jan R. Slabbaert has authored 7 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cell Biology, 3 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jan R. Slabbaert's work include Cellular transport and secretion (4 papers), Neurobiology and Insect Physiology Research (2 papers) and Biotin and Related Studies (1 paper). Jan R. Slabbaert is often cited by papers focused on Cellular transport and secretion (4 papers), Neurobiology and Insect Physiology Research (2 papers) and Biotin and Related Studies (1 paper). Jan R. Slabbaert collaborates with scholars based in Belgium, Poland and France. Jan R. Slabbaert's co-authors include Patrik Verstreken, Dominik Haddad, Janaka N. Edirisinghe, Onno Schaap, Bart De Strooper, Vanessa A. Morais, Giovanni Esposito, R. Meganathan, Sven Vilain and Melissa Vos and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Jan R. Slabbaert

7 papers receiving 467 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jan R. Slabbaert 226 130 120 106 95 7 474
Sabine Borwege 199 0.9× 46 0.4× 32 0.3× 182 1.7× 134 1.4× 4 506
China N. Byrns 210 0.9× 122 0.9× 34 0.3× 41 0.4× 33 0.3× 11 513
En Huang 335 1.5× 33 0.3× 52 0.4× 73 0.7× 87 0.9× 14 502
L L Chu 322 1.4× 27 0.2× 144 1.2× 171 1.6× 48 0.5× 11 522
Yannick Tanguy 174 0.8× 259 2.0× 63 0.5× 86 0.8× 17 0.2× 10 519
F. Alexandra Loucks 301 1.3× 28 0.2× 72 0.6× 61 0.6× 34 0.4× 12 534
Erwin Lauwers 183 0.8× 93 0.7× 17 0.1× 213 2.0× 174 1.8× 8 525
Anna Rytter 249 1.1× 44 0.3× 45 0.4× 201 1.9× 37 0.4× 10 539
JR Goldenring 340 1.5× 33 0.3× 138 1.1× 123 1.2× 17 0.2× 7 546
Fernanda Martins Lopes 256 1.1× 24 0.2× 61 0.5× 132 1.2× 121 1.3× 8 524

Countries citing papers authored by Jan R. Slabbaert

Since Specialization
Citations

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

Fields of papers citing papers by Jan R. Slabbaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan R. Slabbaert. 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 Jan R. Slabbaert. The network helps show where Jan R. Slabbaert may publish in the future.

Co-authorship network of co-authors of Jan R. Slabbaert

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

All Works

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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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