Bas van de Waterbeemd

23 total papers · 843 total citations
17 papers, 674 citations indexed

About

Bas van de Waterbeemd is a scholar working on Microbiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Bas van de Waterbeemd has authored 17 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Microbiology, 9 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Bas van de Waterbeemd's work include Bacterial Infections and Vaccines (13 papers), Pneumonia and Respiratory Infections (9 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Bas van de Waterbeemd is often cited by papers focused on Bacterial Infections and Vaccines (13 papers), Pneumonia and Respiratory Infections (9 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Bas van de Waterbeemd collaborates with scholars based in Netherlands, France and Norway. Bas van de Waterbeemd's co-authors include Leo A. van der Pol, René H. Wijffels, Peter van der Ley, Dirk E. Martens, Mathieu Streefland, Michel H. M. Eppink, Leo van der Pol, Bert Zomer, Harry van Dijken and G. Zomer and has published in prestigious journals such as PLoS ONE, Infection and Immunity and Applied Microbiology and Biotechnology.

In The Last Decade

Bas van de Waterbeemd

17 papers receiving 641 citations

Author Peers

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

Author						Papers	Cites
Bas van de Waterbeemd	486	310	254	92	67	17	674
Ezequiel Valguarnera	248 0.5×	164 0.5×	332 1.3×	93 1.0×	68 1.0×	14	636
Kate L. Fox	292 0.6×	235 0.8×	390 1.5×	119 1.3×	40 0.6×	14	745
Michel Beurret	307 0.6×	317 1.0×	246 1.0×	26 0.3×	56 0.8×	22	661
Beth Baker	268 0.6×	213 0.7×	249 1.0×	54 0.6×	75 1.1×	19	730
Germano Ferrari	255 0.5×	205 0.7×	361 1.4×	85 0.9×	147 2.2×	10	743
Christian Fermér	139 0.3×	252 0.8×	206 0.8×	41 0.4×	202 3.0×	27	719
Laura Fantappiè	302 0.6×	117 0.4×	347 1.4×	119 1.3×	71 1.1×	15	616
Wade A. Nichols	291 0.6×	223 0.7×	228 0.9×	47 0.5×	58 0.9×	19	656
J. Claire Wright	383 0.8×	269 0.9×	232 0.9×	39 0.4×	70 1.0×	13	683
Janet Suker	623 1.3×	476 1.5×	144 0.6×	29 0.3×	47 0.7×	13	709

Countries citing papers authored by Bas van de Waterbeemd

Since Specialization

Citations

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

Fields of papers citing papers by Bas van de Waterbeemd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bas van de Waterbeemd. 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 Bas van de Waterbeemd. The network helps show where Bas van de Waterbeemd may publish in the future.

Co-authorship network of co-authors of Bas van de Waterbeemd

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