Henk van Faassen

100 total papers · 2.1k total citations
59 papers, 1.6k citations indexed

About

Henk van Faassen is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Henk van Faassen has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 21 papers in Immunology and 20 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Henk van Faassen's work include Monoclonal and Polyclonal Antibodies Research (20 papers), Glycosylation and Glycoproteins Research (17 papers) and T-cell and B-cell Immunology (12 papers). Henk van Faassen is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (20 papers), Glycosylation and Glycoproteins Research (17 papers) and T-cell and B-cell Immunology (12 papers). Henk van Faassen collaborates with scholars based in Canada, United States and Netherlands. Henk van Faassen's co-authors include Subash Sad, Renu Dudani, Lakshmi Krishnan, Greg Hussack, Jamshid Tanha, Roger MacKenzie, Mehdi Arbabi‐Ghahroudi, Wangxue Chen, Greg Harris and J. Wayne Conlan and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Henk van Faassen

59 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Henk van Faassen 769 540 382 213 149 59 1.6k
Sanhita Roy 421 0.5× 521 1.0× 236 0.6× 198 0.9× 41 0.3× 56 1.6k
R. S. Berk 585 0.8× 415 0.8× 193 0.5× 70 0.3× 49 0.3× 65 1.5k
Joseph E. Alouf 886 1.2× 671 1.2× 115 0.3× 713 3.3× 127 0.9× 81 2.3k
Yves Laroche 757 1.0× 170 0.3× 167 0.4× 241 1.1× 24 0.2× 28 1.9k
Daniel D. Long 905 1.2× 199 0.4× 53 0.1× 313 1.5× 38 0.3× 45 1.7k
Michael D.P. Boyle 700 0.9× 565 1.0× 345 0.9× 721 3.4× 121 0.8× 103 2.4k
Richard A. Goldsby 918 1.2× 606 1.1× 520 1.4× 164 0.8× 18 0.1× 58 1.8k
M J Bjorn 610 0.8× 729 1.4× 364 1.0× 133 0.6× 16 0.1× 27 1.5k
Kai Sohn 1.2k 1.6× 175 0.3× 162 0.4× 577 2.7× 268 1.8× 65 2.3k
Astrid P. Heikema 536 0.7× 711 1.3× 54 0.1× 378 1.8× 35 0.2× 37 1.8k

Countries citing papers authored by Henk van Faassen

Since Specialization
Citations

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

Fields of papers citing papers by Henk van Faassen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henk van Faassen. 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 Henk van Faassen. The network helps show where Henk van Faassen may publish in the future.

Co-authorship network of co-authors of Henk van Faassen

This figure shows the co-authorship network connecting the top 25 collaborators of Henk van Faassen. A scholar is included among the top collaborators of Henk van Faassen 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 Henk van Faassen. Henk van Faassen 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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