Laura de Rooij

158 total papers · 4.1k total citations
15 papers, 795 citations indexed

About

Laura de Rooij is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Laura de Rooij has authored 15 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Laura de Rooij's work include Single-cell and spatial transcriptomics (3 papers), Angiogenesis and VEGF in Cancer (2 papers) and Acute Myeloid Leukemia Research (2 papers). Laura de Rooij is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Angiogenesis and VEGF in Cancer (2 papers) and Acute Myeloid Leukemia Research (2 papers). Laura de Rooij collaborates with scholars based in Belgium, Denmark and United Kingdom. Laura de Rooij's co-authors include Felipe de Sousa e Melo, Joan H. de Jong, Carel J.M. van Noesel, Evelien Dekker, Maarten F. Bijlsma, Louis Vermeulen, Hans M. Rodermond, Onno J. de Boer, Florian Markowetz and Marnix Jansen and has published in prestigious journals such as Nucleic Acids Research, Circulation and Nature Medicine.

In The Last Decade

Laura de Rooij

15 papers receiving 788 citations

Hit Papers

Poor-prognosis colon canc... 2013 2026 2017 2021 2013 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
Laura de Rooij 438 323 287 221 108 15 795
Fiona Chionh 384 0.9× 339 1.0× 185 0.6× 140 0.6× 151 1.4× 25 821
D Carter 313 0.7× 262 0.8× 314 1.1× 373 1.7× 137 1.3× 13 909
Marianne Berg 397 0.9× 372 1.2× 301 1.0× 223 1.0× 131 1.2× 24 819
Timothy McDonnell 406 0.9× 342 1.1× 186 0.6× 219 1.0× 157 1.5× 19 864
Silvia Tórtola 441 1.0× 597 1.8× 278 1.0× 201 0.9× 81 0.8× 17 936
Josef Rueschoff 478 1.1× 255 0.8× 353 1.2× 242 1.1× 143 1.3× 22 859
Georg Emons 368 0.8× 633 2.0× 161 0.6× 257 1.2× 135 1.3× 20 986
Peter T.M. Moerkerk 376 0.9× 464 1.4× 254 0.9× 161 0.7× 66 0.6× 23 953
Malinda L. Butz 267 0.6× 305 0.9× 221 0.8× 202 0.9× 105 1.0× 17 840
Victoria Valinluck Lao 288 0.7× 506 1.6× 256 0.9× 237 1.1× 94 0.9× 17 791

Countries citing papers authored by Laura de Rooij

Since Specialization
Citations

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

Fields of papers citing papers by Laura de Rooij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura de Rooij. 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 Laura de Rooij. The network helps show where Laura de Rooij may publish in the future.

Co-authorship network of co-authors of Laura de Rooij

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