Maaike van den Beld

54 total papers · 561 total citations
29 papers, 311 citations indexed

About

Maaike van den Beld is a scholar working on Infectious Diseases, Endocrinology and Food Science. According to data from OpenAlex, Maaike van den Beld has authored 29 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 17 papers in Endocrinology and 16 papers in Food Science. Recurrent topics in Maaike van den Beld's work include Viral gastroenteritis research and epidemiology (17 papers), Salmonella and Campylobacter epidemiology (14 papers) and Escherichia coli research studies (14 papers). Maaike van den Beld is often cited by papers focused on Viral gastroenteritis research and epidemiology (17 papers), Salmonella and Campylobacter epidemiology (14 papers) and Escherichia coli research studies (14 papers). Maaike van den Beld collaborates with scholars based in Netherlands, Belgium and China. Maaike van den Beld's co-authors include Frans A.G. Reubsaet, Eelco Franz, John W. A. Rossen, Lapo Mughini‐Gras, Roan Pijnacker, Mirjam Kooistra-Smid, Ben Wit, Sjoerd Kuiling, Alexander W. Friedrich and Daan W. Notermans and has published in prestigious journals such as Journal of Clinical Microbiology, Frontiers in Microbiology and Emerging infectious diseases.

In The Last Decade

Maaike van den Beld

26 papers receiving 304 citations

Author Peers

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

Author						Papers	Cites
Maaike van den Beld	154	134	126	72	51	29	311
Arif Mohammad Tanmoy	114 0.7×	108 0.8×	191 1.5×	80 1.1×	96 1.9×	24	352
Clarissa A. Borges	164 1.1×	71 0.5×	123 1.0×	80 1.1×	133 2.6×	25	362
Vanessa Bueris	201 1.3×	175 1.3×	80 0.6×	109 1.5×	59 1.2×	16	364
Nicolás Galarce	79 0.5×	99 0.7×	129 1.0×	43 0.6×	71 1.4×	32	302
Jacquelyn McCormick	132 0.9×	127 0.9×	167 1.3×	39 0.5×	87 1.7×	15	335
Naoko Imuta	163 1.1×	101 0.8×	58 0.5×	75 1.0×	52 1.0×	20	284
Gian Marco Baranzoni	177 1.1×	95 0.7×	110 0.9×	68 0.9×	61 1.2×	15	298
Hongqing Zhao	96 0.6×	87 0.6×	92 0.7×	124 1.7×	55 1.1×	25	331
Kelly Weedmark	95 0.6×	73 0.5×	54 0.4×	88 1.2×	36 0.7×	27	283
Sílvia De Carli	94 0.6×	87 0.6×	139 1.1×	63 0.9×	72 1.4×	33	311

Countries citing papers authored by Maaike van den Beld

Since Specialization

Citations

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

Fields of papers citing papers by Maaike van den Beld

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maaike van den Beld. 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 Maaike van den Beld. The network helps show where Maaike van den Beld may publish in the future.

Co-authorship network of co-authors of Maaike van den Beld

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