Marco Timmers

26 total papers · 491 total citations
10 papers, 222 citations indexed

About

Marco Timmers is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Marco Timmers has authored 10 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 8 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Molecular Biology. Recurrent topics in Marco Timmers's work include Monoclonal and Polyclonal Antibodies Research (8 papers), HER2/EGFR in Cancer Research (8 papers) and Cancer Treatment and Pharmacology (2 papers). Marco Timmers is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), HER2/EGFR in Cancer Research (8 papers) and Cancer Treatment and Pharmacology (2 papers). Marco Timmers collaborates with scholars based in United States, Netherlands and Italy. Marco Timmers's co-authors include Gijs Verheijden, Ruud Ubink, Wim H.A. Dokter, David Egging, Diels van den Dobbelsteen, Patrick G. Groothuis, Patrick H. Beusker, Eline M. Loosveld, Daniëlle C.H. Jacobs and Miranda M.C. van der Lee and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Marco Timmers

10 papers receiving 209 citations

Author Peers

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

Author Last Decade Papers Cites
Marco Timmers 141 137 65 34 24 10 222
Hannah Dry 42 0.3× 162 1.2× 143 2.2× 29 0.9× 17 0.7× 12 294
Jaafar N. Haidar 87 0.6× 87 0.6× 128 2.0× 69 2.0× 9 0.4× 11 284
Elza de Bruin 52 0.4× 86 0.6× 61 0.9× 14 0.4× 5 0.2× 11 192
Liantao Guo 42 0.3× 118 0.9× 88 1.4× 26 0.8× 11 0.5× 14 252
Dingwei Ye 54 0.4× 139 1.0× 77 1.2× 11 0.3× 10 0.4× 12 197
T Hägerström 31 0.2× 120 0.9× 118 1.8× 19 0.6× 26 1.1× 11 297
Bridget Chappell 96 0.7× 75 0.5× 73 1.1× 33 1.0× 5 0.2× 7 154
Cristina Bernadó Morales 64 0.5× 159 1.2× 141 2.2× 49 1.4× 16 0.7× 14 316
Fabien Gaire 49 0.3× 133 1.0× 88 1.4× 21 0.6× 20 0.8× 11 200
Federica Predolini 47 0.3× 148 1.1× 81 1.2× 39 1.1× 46 1.9× 12 275

Countries citing papers authored by Marco Timmers

Since Specialization
Citations

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

Fields of papers citing papers by Marco Timmers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Timmers

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