Kevin Berendse

21 total papers · 551 total citations
12 papers, 370 citations indexed

About

Kevin Berendse is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Kevin Berendse has authored 12 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Epidemiology. Recurrent topics in Kevin Berendse's work include Peroxisome Proliferator-Activated Receptors (9 papers), Drug Transport and Resistance Mechanisms (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Kevin Berendse is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (9 papers), Drug Transport and Resistance Mechanisms (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Kevin Berendse collaborates with scholars based in Netherlands, United States and Belgium. Kevin Berendse's co-authors include Bwee Tien Poll‐The, Marc Engelen, Ronald J. A. Wanders, Sacha Ferdinandusse, Femke C. C. Klouwer, Hans R. Waterham, Frédéric M. Vaz, Johannes H.T.M. Koelman, Charles B.L.M. Majoie and P. G. Barth and has published in prestigious journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Orphanet Journal of Rare Diseases and Journal of Inherited Metabolic Disease.

In The Last Decade

Kevin Berendse

11 papers receiving 364 citations

Author Peers

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

Author Last Decade Papers Cites
Kevin Berendse 301 126 77 47 33 12 370
Conny Dekker 287 1.0× 130 1.0× 65 0.8× 23 0.5× 28 0.8× 11 372
Teresa Kivisto 203 0.7× 111 0.9× 156 2.0× 28 0.6× 39 1.2× 8 373
Enkhjargal Bayarsaikhan 162 0.5× 64 0.5× 71 0.9× 26 0.6× 19 0.6× 11 338
Mariana Fernández-Caggiano 275 0.9× 46 0.4× 52 0.7× 38 0.8× 60 1.8× 10 439
Abelardo Solano 265 0.9× 159 1.3× 46 0.6× 13 0.3× 29 0.9× 14 407
I‐Fen Cheng 258 0.9× 59 0.5× 56 0.7× 21 0.4× 25 0.8× 10 360
Tomomi Ide 253 0.8× 63 0.5× 28 0.4× 40 0.9× 20 0.6× 11 344
Edwin C.J.M. de Vet 304 1.0× 87 0.7× 51 0.7× 16 0.3× 21 0.6× 12 383
Sakie Katsumura 275 0.9× 29 0.2× 61 0.8× 23 0.5× 26 0.8× 8 354
Daniela Macaya 256 0.9× 69 0.5× 61 0.8× 19 0.4× 17 0.5× 11 439

Countries citing papers authored by Kevin Berendse

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Berendse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Berendse

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Berendse. A scholar is included among the top collaborators of Kevin Berendse 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 Kevin Berendse. Kevin Berendse 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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