Merel Langelaar

36 total papers · 2.7k total citations
18 papers, 1.8k citations indexed

About

Merel Langelaar is a scholar working on Parasitology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Merel Langelaar has authored 18 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Parasitology, 6 papers in Infectious Diseases and 6 papers in Epidemiology. Recurrent topics in Merel Langelaar's work include Toxoplasma gondii Research Studies (5 papers), Parasitic Infections and Diagnostics (4 papers) and Veterinary medicine and infectious diseases (4 papers). Merel Langelaar is often cited by papers focused on Toxoplasma gondii Research Studies (5 papers), Parasitic Infections and Diagnostics (4 papers) and Veterinary medicine and infectious diseases (4 papers). Merel Langelaar collaborates with scholars based in Netherlands, United Kingdom and United States. Merel Langelaar's co-authors include Joke van der Giessen, Marieke Opsteegh, Hein Sprong, Diane G. Newell, Flemming Scheutz, Erwin Duizer, Linda Verhoef, Hilde Kruse, Awa Aïdara‐Kane and Marion Koopmans and has published in prestigious journals such as PLoS ONE, International Journal of Food Microbiology and Vaccine.

In The Last Decade

Merel Langelaar

17 papers receiving 1.7k citations

Hit Papers

Food-borne diseases — The... 2010 2026 2015 2020 2010 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Merel Langelaar 625 509 488 402 245 18 1.8k
Sumalee Boonmar 438 0.7× 400 0.8× 538 1.1× 407 1.0× 129 0.5× 48 1.5k
Karim Sidi‐Boumedine 776 1.2× 368 0.7× 828 1.7× 732 1.8× 314 1.3× 44 2.1k
Neyla Gargouri 454 0.7× 901 1.8× 615 1.3× 144 0.4× 299 1.2× 6 2.2k
C A Bolin 624 1.0× 414 0.8× 410 0.8× 147 0.4× 174 0.7× 38 1.5k
Teresa Y. Morishita 285 0.5× 894 1.8× 558 1.1× 402 1.0× 149 0.6× 54 2.0k
Jeroen J.H.C. Tilburg 709 1.1× 456 0.9× 826 1.7× 118 0.3× 134 0.5× 22 1.5k
R. C. M. Jaime 243 0.4× 726 1.4× 357 0.7× 418 1.0× 348 1.4× 71 2.1k
Gorka Adúriz 736 1.2× 357 0.7× 529 1.1× 519 1.3× 113 0.5× 58 1.9k
Nigatu Kebede 304 0.5× 351 0.7× 274 0.6× 205 0.5× 97 0.4× 69 1.4k
Frank Pollari 245 0.4× 1.0k 2.0× 830 1.7× 162 0.4× 132 0.5× 47 1.8k

Countries citing papers authored by Merel Langelaar

Since Specialization
Citations

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

Fields of papers citing papers by Merel Langelaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Merel Langelaar

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