Bram ter Harmsel

24 total papers · 2.0k total citations
19 papers, 1.3k citations indexed

About

Bram ter Harmsel is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Bram ter Harmsel has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 8 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Bram ter Harmsel's work include Cervical Cancer and HPV Research (15 papers), Genital Health and Disease (6 papers) and Urological Disorders and Treatments (3 papers). Bram ter Harmsel is often cited by papers focused on Cervical Cancer and HPV Research (15 papers), Genital Health and Disease (6 papers) and Urological Disorders and Treatments (3 papers). Bram ter Harmsel collaborates with scholars based in Netherlands, Spain and United States. Bram ter Harmsel's co-authors include Wim Quint, Bernhard Kleter, Matthé P.M. Burger, Lianne Schrauwen, Leen‐Jan van Doorn, Jan ter Schegget, J. Lindeman, S H Sastrowijoto, Anco Molijn and Frank Smedts and has published in prestigious journals such as Journal of Clinical Microbiology, American Journal Of Pathology and International Journal of Cancer.

In The Last Decade

Bram ter Harmsel

19 papers receiving 1.3k citations

Hit Papers

Development and Clinical ... 1999 2026 2008 2017 1999 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Bram ter Harmsel 1.2k 564 393 204 152 19 1.3k
Sara Tous 1.2k 1.0× 703 1.2× 159 0.4× 111 0.5× 239 1.6× 47 1.5k
PJF Snijders 1.6k 1.3× 752 1.3× 375 1.0× 280 1.4× 291 1.9× 9 1.8k
Lisa Mirabello 1.0k 0.9× 364 0.6× 489 1.2× 237 1.2× 163 1.1× 35 1.4k
Sepideh Farhat 1.2k 1.0× 590 1.0× 136 0.3× 234 1.1× 245 1.6× 31 1.6k
Masanori Terai 698 0.6× 443 0.8× 388 1.0× 138 0.7× 181 1.2× 33 1.3k
Véronique Dalstein 915 0.8× 438 0.8× 425 1.1× 166 0.8× 405 2.7× 48 1.5k
Toshihiko Matsukura 1.0k 0.9× 360 0.6× 287 0.7× 89 0.4× 194 1.3× 45 1.2k
Diego Guillén 1.1k 0.9× 506 0.9× 157 0.4× 205 1.0× 132 0.9× 16 1.1k
Davit Bzhalava 954 0.8× 312 0.6× 358 0.9× 130 0.6× 314 2.1× 31 1.3k
María Alejo 964 0.8× 679 1.2× 116 0.3× 59 0.3× 208 1.4× 29 1.3k

Countries citing papers authored by Bram ter Harmsel

Since Specialization
Citations

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

Fields of papers citing papers by Bram ter Harmsel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bram ter Harmsel. 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 Bram ter Harmsel. The network helps show where Bram ter Harmsel may publish in the future.

Co-authorship network of co-authors of Bram ter Harmsel

This figure shows the co-authorship network connecting the top 25 collaborators of Bram ter Harmsel. A scholar is included among the top collaborators of Bram ter Harmsel 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 Bram ter Harmsel. Bram ter Harmsel 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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