Maaike G. Dijkstra

20 total papers · 841 total citations
14 papers, 664 citations indexed

About

Maaike G. Dijkstra is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Maaike G. Dijkstra has authored 14 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 8 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Maaike G. Dijkstra's work include Cervical Cancer and HPV Research (13 papers), Genital Health and Disease (7 papers) and Reproductive tract infections research (3 papers). Maaike G. Dijkstra is often cited by papers focused on Cervical Cancer and HPV Research (13 papers), Genital Health and Disease (7 papers) and Reproductive tract infections research (3 papers). Maaike G. Dijkstra collaborates with scholars based in Netherlands, United States and United Kingdom. Maaike G. Dijkstra's co-authors include Peter J.F. Snijders, Chris J.L.M. Meijer, Johannes Berkhof, Folkert J. van Kemenade, Daniëlle A.M. Heideman, Lawrence Rozendaal, Marc Arbyn, Dorien Rijkaart, Theo J.M. Helmerhorst and Roosmarijn Luttmer and has published in prestigious journals such as BMJ, British Journal of Cancer and Annals of Oncology.

In The Last Decade

Maaike G. Dijkstra

14 papers receiving 644 citations

Author Peers

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

Author						Papers	Cites
Maaike G. Dijkstra	563	257	160	124	91	14	664
Carol Morin	381 0.7×	144 0.6×	154 1.0×	95 0.8×	55 0.6×	21	620
S Costa	508 0.9×	176 0.7×	202 1.3×	161 1.3×	43 0.5×	33	700
Jacalyn L. Papillo	487 0.9×	270 1.1×	164 1.0×	55 0.4×	63 0.7×	26	727
J Bory	684 1.2×	341 1.3×	130 0.8×	161 1.3×	115 1.3×	17	780
Alberto Agarossi	443 0.8×	258 1.0×	119 0.7×	88 0.7×	83 0.9×	28	605
Laurent Zerat	376 0.7×	164 0.6×	91 0.6×	72 0.6×	59 0.6×	22	559
Ralph M. Richart	462 0.8×	217 0.8×	123 0.8×	63 0.5×	59 0.6×	8	586
S. Klein	664 1.2×	300 1.2×	120 0.8×	162 1.3×	126 1.4×	11	785
Maria Alice G Gonçalves	509 0.9×	306 1.2×	141 0.9×	42 0.3×	80 0.9×	19	666
Carsten Rygaard	647 1.1×	213 0.8×	226 1.4×	162 1.3×	112 1.2×	34	725

Countries citing papers authored by Maaike G. Dijkstra

Since Specialization

Citations

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

Fields of papers citing papers by Maaike G. Dijkstra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maaike G. Dijkstra. 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 G. Dijkstra. The network helps show where Maaike G. Dijkstra may publish in the future.

Co-authorship network of co-authors of Maaike G. Dijkstra

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