Willem Bartelink

14 total papers · 1.2k total citations
8 papers, 789 citations indexed

About

Willem Bartelink is a scholar working on Infectious Diseases, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Willem Bartelink has authored 8 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Animal Science and Zoology. Recurrent topics in Willem Bartelink's work include Monoclonal and Polyclonal Antibodies Research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Animal Virus Infections Studies (3 papers). Willem Bartelink is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Animal Virus Infections Studies (3 papers). Willem Bartelink collaborates with scholars based in Netherlands, Belgium and France. Willem Bartelink's co-authors include Berend‐Jan Bosch, Peter J. M. Rottier, Montserrat Bárcena, Frank G. A. Faas, Gert T. Oostergetel, Abraham J. Koster, Willem Stoorvogel, Els J. van der Vlist, Enrico Mastrobattista and Marca H. M. Wauben and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Willem Bartelink

8 papers receiving 772 citations

Author Peers

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

Author						Papers	Cites
Willem Bartelink	414	293	137	131	96	8	789
Kosi Gramatikoff	297 0.7×	385 1.3×	56 0.4×	104 0.8×	53 0.6×	12	798
Christopher W. Wong	188 0.5×	291 1.0×	198 1.4×	39 0.3×	85 0.9×	16	842
Seraphin Kuate	326 0.8×	277 0.9×	186 1.4×	85 0.6×	262 2.7×	22	782
Tongjin Wu	514 1.2×	165 0.6×	61 0.4×	40 0.3×	146 1.5×	10	758
Qingquan Tang	188 0.5×	527 1.8×	75 0.5×	80 0.6×	76 0.8×	9	740
Carola Berger	207 0.5×	323 1.1×	319 2.3×	44 0.3×	94 1.0×	18	900
Cinzia Giovani	292 0.7×	546 1.9×	163 1.2×	71 0.5×	275 2.9×	12	824
Orel Mizrahi	378 0.9×	508 1.7×	45 0.3×	71 0.5×	133 1.4×	10	834
Karnyart Samnuan	376 0.9×	550 1.9×	52 0.4×	105 0.8×	199 2.1×	12	840
Hayley Lavender	442 1.1×	159 0.5×	164 1.2×	71 0.5×	176 1.8×	14	817

Countries citing papers authored by Willem Bartelink

Since Specialization

Citations

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

Fields of papers citing papers by Willem Bartelink

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Willem Bartelink

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