Lodewijk F.A. Wessels

1.0k total citations
19 papers, 723 citations indexed

About

Lodewijk F.A. Wessels is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Lodewijk F.A. Wessels has authored 19 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 7 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Lodewijk F.A. Wessels's work include Cancer Genomics and Diagnostics (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Lodewijk F.A. Wessels is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Lodewijk F.A. Wessels collaborates with scholars based in Netherlands, United States and Portugal. Lodewijk F.A. Wessels's co-authors include Eugene P. van Someren, Michael Hauptmann, Marc J. van de Vijver, Paul Roepman, Frank C. P. Holstege, Patrick Kemmeren, Piet J. Slootweg, Arno Velds, Michiel S. van der Heijden and Dennis Peters and has published in prestigious journals such as Cancer Research, International Journal of Radiation Oncology*Biology*Physics and Annals of Oncology.

In The Last Decade

Lodewijk F.A. Wessels

18 papers receiving 704 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lodewijk F.A. Wessels Netherlands 10 429 211 190 147 98 19 723
Alexander Puhl Germany 9 377 0.9× 346 1.6× 81 0.4× 205 1.4× 80 0.8× 17 924
Anne-Mette K. Hein Denmark 7 457 1.1× 97 0.5× 142 0.7× 245 1.7× 132 1.3× 8 674
Lars Tharun Germany 15 471 1.1× 434 2.1× 140 0.7× 179 1.2× 240 2.4× 41 966
C. Ted Rigl United States 8 246 0.6× 265 1.3× 93 0.5× 109 0.7× 54 0.6× 12 691
Barbara Fiamengo Italy 9 162 0.4× 120 0.6× 118 0.6× 93 0.6× 32 0.3× 20 539
Jessica Clement United States 5 209 0.5× 199 0.9× 58 0.3× 383 2.6× 154 1.6× 8 559
Franco Monti Italy 12 307 0.7× 367 1.7× 46 0.2× 145 1.0× 83 0.8× 21 610
Yunn Yi Chen United States 8 229 0.5× 283 1.3× 143 0.8× 389 2.6× 81 0.8× 8 741
Matthew Winans United States 7 276 0.6× 245 1.2× 45 0.2× 89 0.6× 48 0.5× 7 633
D. Hungermann Germany 11 173 0.4× 265 1.3× 97 0.5× 196 1.3× 75 0.8× 23 555

Countries citing papers authored by Lodewijk F.A. Wessels

Since Specialization
Citations

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

Fields of papers citing papers by Lodewijk F.A. Wessels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lodewijk F.A. Wessels. 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 Lodewijk F.A. Wessels. The network helps show where Lodewijk F.A. Wessels may publish in the future.

Co-authorship network of co-authors of Lodewijk F.A. Wessels

This figure shows the co-authorship network connecting the top 25 collaborators of Lodewijk F.A. Wessels. A scholar is included among the top collaborators of Lodewijk F.A. Wessels 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 Lodewijk F.A. Wessels. Lodewijk F.A. Wessels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Hahne, Jens C., et al.. (2025). 246P: Optimizing immune checkpoint blockade in pleural mesothelioma by targeting immune evasion: A systems biology approach. Journal of Thoracic Oncology. 20(3). S154–S155. 1 indexed citations
2.
Haar, Joris van de, Louisa R. Hoes, Paul Roepman, et al.. (2020). 82O Genomic evolution of metastatic tumours under therapeutic pressure. Annals of Oncology. 31. S274–S274.
3.
Voorwerk, Leonie, Hannah Garner, Olga Blomberg, et al.. (2020). LBA10 Critical role of eosinophils during response to immune checkpoint blockade in breast cancer and other cancer types. Annals of Oncology. 31. S1142–S1142. 9 indexed citations
4.
Hoogstraat, Marlous, Mark Opdam, Hugo M. Horlings, et al.. (2018). Tumor infiltrating lymphocytes predict benefit from TAC but not from ddAC in triple negative breast cancer in the randomized MATADOR trial (BOOG 2004-04). Annals of Oncology. 29. viii60–viii60. 1 indexed citations
5.
Hoogstraat, Marlous, Esther H. Lips, Lennart Mulder, et al.. (2016). Comprehensive characterization of matched pre-treatment biopsies and residual disease of chemotherapy treated breast cancer. European Journal of Cancer. 61. S30–S30. 1 indexed citations
6.
Groenendijk, Floris H., Jeroen de Jong, Elisabeth E. Fransen van de Putte, et al.. (2015). ERBB2 Mutations Characterize a Subgroup of Muscle-invasive Bladder Cancers with Excellent Response to Neoadjuvant Chemotherapy. European Urology. 69(3). 384–388. 168 indexed citations
7.
Pérez–Mancera, Pedro A., Alistair G. Rust, Andrew V. Biankin, et al.. (2012). 108 The Deubiquitinase USP9X Suppresses Pancreatic Ductal Adenocarcinoma. European Journal of Cancer. 48. S26–S27. 6 indexed citations
8.
Majewski, Ian J., Xue Zhao, Lorenza Mittempergher, et al.. (2012). 538 Finding New Signalling Pathways That Contribute to Cancer Pathogenesis. European Journal of Cancer. 48. 166–166. 1 indexed citations
9.
Vollebergh, Marieke A., Esther H. Lips, Petra M. Nederlof, et al.. (2010). An aCGH classifier derived from BRCA1-mutated breast cancer and benefit of high-dose platinum-based chemotherapy in HER2-negative breast cancer patients. Annals of Oncology. 22(7). 1561–1570. 126 indexed citations
10.
Gast, Marie‐Christine W., Carla H. van Gils, Lodewijk F.A. Wessels, et al.. (2009). Influence of sample storage duration on serum protein profiles assessed by surface-enhanced laser desorption/ionisation time-of-flight mass spectrometry (SELDI-TOF MS). Clinical Chemistry and Laboratory Medicine (CCLM). 47(6). 694–705. 31 indexed citations
11.
Gast, Marie‐Christine W., Eric J. van Dulken, Johan Westerga, et al.. (2009). Detection of Breast Cancer by Surface-enhanced Laser Desorption/Ionization Time-of-flight Mass Spectrometry Tissue and Serum Protein Profiling. The International Journal of Biological Markers. 24(3). 130–141. 9 indexed citations
12.
Gast, Marie‐Christine W., Eric J. van Dulken, Johan Westerga, et al.. (2009). Detection of breast cancer by surface-enhanced laserdesorption/ionization time-of-flight mass spectrometry tissueand serum protein profiling. The International Journal of Biological Markers. 24(3). 130–141. 12 indexed citations
13.
Pietersen, Alexandra M, Hugo M. Horlings, Michael Hauptmann, et al.. (2008). EZH2 and BMI1 inversely correlate with prognosis and TP53 mutation in breast cancer. Breast Cancer Research. 10(6). R109–R109. 104 indexed citations
14.
Kroon, Bin K., Joost A.P. Leijte, Hester van Boven, et al.. (2008). Microarray gene‐expression profiling to predict lymph node metastasis in penile carcinoma. British Journal of Urology. 102(4). 510–515. 14 indexed citations
15.
Pramana, Jimmy, Michiel W. M. van den Brekel, Marie‐Louise F. van Velthuysen, et al.. (2007). Gene Expression Profiling to Predict Outcome After Chemoradiation in Head and Neck Cancer. International Journal of Radiation Oncology*Biology*Physics. 69(5). 1544–1552. 51 indexed citations
16.
Pramana, Jimmy, N. Pimentel, Ingrid Hofland, et al.. (2007). Heterogeneity of gene expression profiles in head and neck cancer. Head & Neck. 29(12). 1083–1089. 7 indexed citations
17.
Roepman, Paul, Patrick Kemmeren, Lodewijk F.A. Wessels, Piet J. Slootweg, & Frank C. P. Holstege. (2006). Multiple Robust Signatures for Detecting Lymph Node Metastasis in Head and Neck Cancer. Cancer Research. 66(4). 2361–2366. 72 indexed citations
18.
Wessels, Lodewijk F.A., et al.. (2000). A COMPARISON OF GENETIC NETWORK MODELS. PubMed. 508–519. 98 indexed citations
19.
Cole, Ronald A., David Novick, Stephen Sutton, et al.. (1997). Experiments with a spoken dialogue system for taking the US census. Speech Communication. 23(3). 243–260. 12 indexed citations

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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