Theo A. Berkhout

34 total papers · 2.3k total citations
28 papers, 1.9k citations indexed

About

Theo A. Berkhout is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Theo A. Berkhout has authored 28 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Oncology and 6 papers in Surgery. Recurrent topics in Theo A. Berkhout's work include Chemokine receptors and signaling (10 papers), Lipid Membrane Structure and Behavior (7 papers) and Cell Adhesion Molecules Research (6 papers). Theo A. Berkhout is often cited by papers focused on Chemokine receptors and signaling (10 papers), Lipid Membrane Structure and Behavior (7 papers) and Cell Adhesion Molecules Research (6 papers). Theo A. Berkhout collaborates with scholars based in United Kingdom, United States and Netherlands. Theo A. Berkhout's co-authors include Andreas Ludwig, Pieter H.E. Groot, Neil Broadway, Dieter Hartmann, Paul Säftig, Christian Hundhausen, Stefan Rose‐John, Kitty Moores, Falk Fahrenholz and Vance B. Matthews and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Theo A. Berkhout

28 papers receiving 1.9k citations

Hit Papers

The disintegrin-like meta... 2003 2026 2010 2018 2003 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Theo A. Berkhout 921 746 709 299 196 28 1.9k
Alan M. Fong 1.1k 1.2× 1.2k 1.6× 834 1.2× 486 1.6× 94 0.5× 31 2.5k
Zhenhua Miao 1.8k 2.0× 1.6k 2.1× 660 0.9× 245 0.8× 159 0.8× 34 2.7k
K R Auger 513 0.6× 880 1.2× 1.5k 2.1× 282 0.9× 174 0.9× 22 2.7k
Jenny Jongstra‐Bilen 701 0.8× 1.5k 2.0× 1.3k 1.9× 453 1.5× 168 0.9× 47 2.8k
Richard DeMarco 453 0.5× 562 0.8× 649 0.9× 126 0.4× 158 0.8× 26 1.5k
Aleksandar Ívetic 353 0.4× 944 1.3× 1.2k 1.7× 420 1.4× 187 1.0× 41 2.5k
Salvatore J. Coniglio 658 0.7× 622 0.8× 1.0k 1.4× 319 1.1× 325 1.7× 29 2.3k
Douglas A. Carlow 395 0.4× 1.1k 1.4× 549 0.8× 195 0.7× 147 0.8× 36 1.9k
Cheryl Nickerson‐Nutter 571 0.6× 1.8k 2.4× 772 1.1× 280 0.9× 232 1.2× 44 3.2k
A Levitzki 1.1k 1.2× 450 0.6× 1.8k 2.5× 171 0.6× 285 1.5× 26 3.1k

Countries citing papers authored by Theo A. Berkhout

Since Specialization
Citations

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

Fields of papers citing papers by Theo A. Berkhout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Theo A. Berkhout. 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 Theo A. Berkhout. The network helps show where Theo A. Berkhout may publish in the future.

Co-authorship network of co-authors of Theo A. Berkhout

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