Trudy Jonges

2.0k total citations
19 papers, 826 citations indexed

About

Trudy Jonges is a scholar working on Surgery, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Trudy Jonges has authored 19 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Trudy Jonges's work include Bladder and Urothelial Cancer Treatments (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). Trudy Jonges is often cited by papers focused on Bladder and Urothelial Cancer Treatments (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). Trudy Jonges collaborates with scholars based in Netherlands, Germany and United States. Trudy Jonges's co-authors include Matthijs C. M. Grimbergen, Christiaan F. P. van Swol, Tom A. Boon, Hans Clevers, Harry Begthel, Onno Kranenburg, Jeroen Korving, J. Alain Kummer, P.L.M. Vijverberg and J.L.H. Ruud Bosch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry and Cell stem cell.

In The Last Decade

Trudy Jonges

16 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trudy Jonges Netherlands 11 279 245 229 171 167 19 826
Yuanji Xu China 17 125 0.4× 377 1.5× 211 0.9× 210 1.2× 130 0.8× 70 893
Rebecca Mosher United States 16 105 0.4× 469 1.9× 400 1.7× 181 1.1× 40 0.2× 41 1.3k
Ayelet Zlotogorski‐Hurvitz Israel 10 36 0.1× 434 1.8× 77 0.3× 250 1.5× 81 0.5× 23 615
Ingo Kausch Germany 18 607 2.2× 820 3.3× 211 0.9× 564 3.3× 73 0.4× 59 1.6k
Carmen Ruiz Velasco United States 16 76 0.3× 307 1.3× 288 1.3× 225 1.3× 112 0.7× 25 721
Yunzhong Nie China 16 151 0.5× 288 1.2× 175 0.8× 135 0.8× 141 0.8× 23 773
Yu Xia China 23 193 0.7× 650 2.7× 694 3.0× 346 2.0× 47 0.3× 89 1.6k
Mihaela Chivu‐Economescu Romania 14 149 0.5× 463 1.9× 249 1.1× 323 1.9× 35 0.2× 31 891
Andreas C. Lazaris Greece 17 131 0.5× 289 1.2× 321 1.4× 151 0.9× 15 0.1× 61 824
David Tacha United States 19 234 0.8× 342 1.4× 364 1.6× 109 0.6× 50 0.3× 37 1.1k

Countries citing papers authored by Trudy Jonges

Since Specialization
Citations

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

Fields of papers citing papers by Trudy Jonges

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trudy Jonges

This figure shows the co-authorship network connecting the top 25 collaborators of Trudy Jonges. A scholar is included among the top collaborators of Trudy Jonges 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 Trudy Jonges. Trudy Jonges 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.
Samuels, Martin, Natalie D. ter Hoeve, Nikolas Stathonikos, et al.. (2025). Head-to-Head Comparison of 2 Artificial Intelligence Tools for Detecting Lymph Node Metastases in Whole-Slide Pathology Images Within and Beyond Their Intended Use. Modern Pathology. 38(12). 100905–100905.
2.
Bleeker, Maaike C.G., Tjalling Bosse, Koen Van de Vijver, et al.. (2024). Does “One Size Fits All”? Rethinking FIGO Depth of Invasion Measurements in Vulvar Cancer. International Journal of Gynecological Pathology. 43(5). 457–463.
3.
Castro, C.S. Arteaga de, Trudy Jonges, Marnix G. E. H. Lam, et al.. (2023). Feasibility of clinical studies of chemical exchange saturation transfer magnetic resonance imaging of prostate cancer at 7 T. NMR in Biomedicine. 36(10). e4958–e4958. 1 indexed citations
4.
Son, Marieke van, Marinus A. Moerland, Bart de Keizer, et al.. (2022). Value of Targeted Biopsies and Combined PSMA PET/CT and mp-MRI Imaging in Locally Recurrent Prostate Cancer after Primary Radiotherapy. Cancers. 14(3). 781–781. 12 indexed citations
5.
Dijk, Thomas van, et al.. (2022). In vivo Raman spectroscopy for bladder cancer detection using a superficial Raman probe compared to a nonsuperficial Raman probe. Journal of Biophotonics. 15(6). e202100354–e202100354. 11 indexed citations
6.
Koole, Wouter, Anne M.L. Jansen, Margreet G.E.M. Ausems, et al.. (2022). EP313/#490 Validation of mutation analysis of ovarian cancer predisposition genes in tumor tissue. A180.2–A181.
7.
Lõhmussaar, Kadi, Rurika Oka, Jose Espejo Valle-Inclán, et al.. (2021). Patient-derived organoids model cervical tissue dynamics and viral oncogenesis in cervical cancer. Cell stem cell. 28(8). 1380–1396.e6. 130 indexed citations
8.
Mullenders, Jasper, Harry Begthel, Jeroen Korving, et al.. (2019). Mouse and human urothelial cancer organoids: A tool for bladder cancer research. Proceedings of the National Academy of Sciences. 116(10). 4567–4574. 197 indexed citations
9.
Roekel, Caren van, Trudy Jonges, & Tycho Lock. (2018). What are the odds? Prostate metastases to ureter and peritoneum. BMJ Case Reports. 2018. bcr–2018. 6 indexed citations
10.
11.
Kroeze, Stephanie, Joost S.P. Vermaat, Harm H.E. van Melick, et al.. (2010). Expression of nuclear FIH independently predicts overall survival of clear cell renal cell carcinoma patients. European Journal of Cancer. 46(18). 3375–3382. 26 indexed citations
12.
Draga, Ronald O.P., Matthijs C. M. Grimbergen, P.L.M. Vijverberg, et al.. (2010). In Vivo Bladder Cancer Diagnosis by High-Volume Raman Spectroscopy. Analytical Chemistry. 82(14). 5993–5999. 160 indexed citations
13.
Jans, Judith, Susanne van Schelven, Petra van der Groep, et al.. (2009). EXPRESSION AND LOCALIZATION OF HYPOXIA MARKERS IN PROSTATE CANCER; PROGNOSTIC IMPLICATIONS AFTER RADICAL PROSTATECTOMY. The Journal of Urology. 181(4S). 99–99. 33 indexed citations
14.
15.
Grimbergen, Matthijs C. M., Christiaan F. P. van Swol, Trudy Jonges, Tom A. Boon, & R. Jeroen A. van Moorselaar. (2003). Reduced Specificity of 5-ALA Induced Fluorescence in Photodynamic Diagnosis of Transitional Cell Carcinoma after Previous Intravesical Therapy. European Urology. 44(1). 51–56. 73 indexed citations
16.
Grimbergen, Matthijs C. M., et al.. (2002). Previous intravesical therapy increases the number of false positive biopsies in Photodynamic Diagnosis (PDD) of bladder cancer. European Urology Supplements. 1(1). 121–121. 2 indexed citations
17.
Bevers, Rob F. M., et al.. (2001). Testicular microlithiasis, a premalignant condition: prevalence, histopathologic findings, and relation to testicular tumor. Urology. 57(6). 1133–1137. 90 indexed citations
18.
Noorden, Cornelis J.F. Van, et al.. (2000). In vivo inhibition of cysteine proteinases delays the onset of growth of human pancreatic cancer explants. British Journal of Cancer. 82(4). 931–936. 18 indexed citations
19.
Noorden, Cornelis J.F. Van, Trudy Jonges, Jan van Marle, et al.. (1998). Heterogeneous suppression of experimentally induced colon cancer metastasis in rat liver lobes by inhibition of extracellular cathepsin B. Clinical & Experimental Metastasis. 16(2). 159–167. 64 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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