Jaco C. Knol

2.9k total citations
68 papers, 1.8k citations indexed

About

Jaco C. Knol is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Jaco C. Knol has authored 68 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 25 papers in Spectroscopy and 13 papers in Oncology. Recurrent topics in Jaco C. Knol's work include Advanced Proteomics Techniques and Applications (25 papers), Mass Spectrometry Techniques and Applications (13 papers) and Extracellular vesicles in disease (8 papers). Jaco C. Knol is often cited by papers focused on Advanced Proteomics Techniques and Applications (25 papers), Mass Spectrometry Techniques and Applications (13 papers) and Extracellular vesicles in disease (8 papers). Jaco C. Knol collaborates with scholars based in Netherlands, Italy and Germany. Jaco C. Knol's co-authors include Connie R. Jiménez, Thang V. Pham, Sander R. Piersma, Henk M.W. Verheul, Remond J.A. Fijneman, Gerrit A. Meijer, Rudi J. Planta, Harm van Heerikhuizen, Jakob Albrethsen and Meike de Wit and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Jaco C. Knol

65 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaco C. Knol Netherlands 27 1.2k 384 377 342 137 68 1.8k
Philipp F. Lange Canada 20 1.2k 1.0× 341 0.9× 361 1.0× 545 1.6× 152 1.1× 46 1.9k
Chiara Francavilla Denmark 23 1.5k 1.3× 221 0.6× 389 1.0× 308 0.9× 170 1.2× 40 1.9k
Yuzuru Shiio United States 21 1.5k 1.3× 292 0.8× 176 0.5× 364 1.1× 154 1.1× 34 1.9k
Deena M. Leslie Pedrioli Switzerland 20 1.6k 1.3× 584 1.5× 188 0.5× 335 1.0× 273 2.0× 29 2.2k
Myeong‐Hee Yu South Korea 25 980 0.8× 547 1.4× 201 0.5× 268 0.8× 112 0.8× 44 1.5k
Benjamin A. Garcia United States 34 4.1k 3.5× 483 1.3× 201 0.5× 474 1.4× 294 2.1× 80 4.8k
Herbert B. Schiller Germany 15 798 0.7× 147 0.4× 135 0.4× 129 0.4× 184 1.3× 20 1.6k
Nicholas A. Graham United States 21 1.1k 0.9× 360 0.9× 99 0.3× 433 1.3× 266 1.9× 40 1.8k
Christian R. Lombardo United States 19 1.6k 1.4× 299 0.8× 80 0.2× 321 0.9× 211 1.5× 26 2.3k
Zhen‐Yuan Lin Canada 21 2.1k 1.8× 166 0.4× 161 0.4× 295 0.9× 106 0.8× 30 2.6k

Countries citing papers authored by Jaco C. Knol

Since Specialization
Citations

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

Fields of papers citing papers by Jaco C. Knol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaco C. Knol. 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 Jaco C. Knol. The network helps show where Jaco C. Knol may publish in the future.

Co-authorship network of co-authors of Jaco C. Knol

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

All Works

20 of 20 papers shown
2.
Henneman, Alex A., Jaco C. Knol, Thang V. Pham, et al.. (2024). Insight in the (Phospho)proteome of Vascular Smooth Muscle Cells Derived From Patients With Abdominal Aortic Aneurysm Reveals Novel Disease Mechanisms. Arteriosclerosis Thrombosis and Vascular Biology. 44(10). 2226–2243. 2 indexed citations
3.
Chatterjee, Madhurima, Marleen J.A. Koel‐Simmelink, Walter Boiten, et al.. (2023). C1q is increased in cerebrospinal fluid‐derived extracellular vesicles in Alzheimer's disease: A multi‐cohort proteomics and immuno‐assay validation study. Alzheimer s & Dementia. 19(11). 4828–4840. 25 indexed citations
4.
Beekhof, Robin, Andrea Bertotti, Franziska Böttger, et al.. (2023). Phosphoproteomics of patient-derived xenografts identifies targets and markers associated with sensitivity and resistance to EGFR blockade in colorectal cancer. Science Translational Medicine. 15(709). eabm3687–eabm3687. 17 indexed citations
5.
Wijngaart, Hanneke van der, Henk Dekker, Sander R. Piersma, et al.. (2023). Advancing wide implementation of precision oncology: A liquid nitrogen‐free snap freezer preserves molecular profiles of biological samples. Cancer Medicine. 12(9). 10979–10989. 1 indexed citations
6.
Henneman, Alex A., Jesper A. Balk, Sander R. Piersma, et al.. (2022). Phosphoproteomic Analysis of FLCN Inactivation Highlights Differential Kinase Pathways and Regulatory TFEB Phosphoserines. Molecular & Cellular Proteomics. 21(9). 100263–100263. 2 indexed citations
7.
Bijnsdorp, Irene V., Thang V. Pham, Meike de Wit, et al.. (2021). Lipopolysaccharide‐regulated secretion of soluble and vesicle‐based proteins from a panel of colorectal cancer cell lines. PROTEOMICS - CLINICAL APPLICATIONS. 15(2-3). e1900119–e1900119. 3 indexed citations
8.
Walraven, Maudy, Siamack Sabrkhany, Jaco C. Knol, et al.. (2021). Effects of Cancer Presence and Therapy on the Platelet Proteome. International Journal of Molecular Sciences. 22(15). 8236–8236. 15 indexed citations
9.
Large, Tessa Y. S. Le, Maarten F. Bijlsma, Btissame El Hassouni, et al.. (2021). Focal adhesion kinase inhibition synergizes with nab-paclitaxel to target pancreatic ductal adenocarcinoma. Journal of Experimental & Clinical Cancer Research. 40(1). 91–91. 33 indexed citations
10.
Labots, Mariëtte, Thang V. Pham, Richard J. Honeywell, et al.. (2020). Kinase Inhibitor Treatment of Patients with Advanced Cancer Results in High Tumor Drug Concentrations and in Specific Alterations of the Tumor Phosphoproteome. Cancers. 12(2). 330–330. 12 indexed citations
11.
Cloos, Jacqueline, Robin Beekhof, Sander R. Piersma, et al.. (2020). Phosphotyrosine-based Phosphoproteomics for Target Identification and Drug Response Prediction in AML Cell Lines. Molecular & Cellular Proteomics. 19(5). 884–899. 30 indexed citations
12.
Poel, Dennis, Robin Beekhof, Tim Schelfhorst, et al.. (2019). Proteomic Analysis of miR-195 and miR-497 Replacement Reveals Potential Candidates that Increase Sensitivity to Oxaliplatin in MSI/P53wt Colorectal Cancer Cells. Cells. 8(9). 1111–1111. 23 indexed citations
13.
Beekhof, Robin, Alex A. Henneman, Jaco C. Knol, et al.. (2019). INKA , an integrative data analysis pipeline for phosphoproteomic inference of active kinases. Molecular Systems Biology. 15(4). e8250–e8250. 59 indexed citations
14.
Mijn, Johannes C. van der, Mariëtte Labots, Sander R. Piersma, et al.. (2015). Evaluation of different phospho-tyrosine antibodies for label-free phosphoproteomics. Journal of Proteomics. 127(Pt B). 259–263. 39 indexed citations
15.
Piersma, Sander R., Jaco C. Knol, Mariëtte Labots, et al.. (2015). Feasibility of label-free phosphoproteomics and application to base-line signaling of colorectal cancer cell lines. Journal of Proteomics. 127(Pt B). 247–258. 43 indexed citations
16.
Warmoes, Marc O., Janneke E. Jaspers, Guotai Xu, et al.. (2013). Proteomics of Genetically Engineered Mouse Mammary Tumors Identifies Fatty Acid Metabolism Members as Potential Predictive Markers for Cisplatin Resistance. Molecular & Cellular Proteomics. 12(5). 1319–1334. 25 indexed citations
17.
Kranenburg, Onno, Benjamin L. Emmink, Jaco C. Knol, et al.. (2012). Proteomics in studying cancer stem cell biology. Expert Review of Proteomics. 9(3). 325–336. 6 indexed citations
18.
Rajčević, Uroš, Kjell Petersen, Jaco C. Knol, et al.. (2009). iTRAQ-based Proteomics Profiling Reveals Increased Metabolic Activity and Cellular Cross-talk in Angiogenic Compared with Invasive Glioblastoma Phenotype. Molecular & Cellular Proteomics. 8(11). 2595–2612. 63 indexed citations
19.
Knol, Jaco C., Ruchira Engel, Mieke Blaauw, Antonie J. W. G. Visser, & Peter J.M. Van Haastert. (2005). The Phosducin-Like Protein PhLP1 Is Essential for Gβγ Dimer Formation in Dictyostelium discoideum. Molecular and Cellular Biology. 25(18). 8393–8400. 37 indexed citations
20.
Knol, Jaco C., Edwin Roovers, Ellen R. van Kesteren, et al.. (1994). A G-protein β subunit that is expressed in the central nervous system of the mollusc Lymnaea stagnalis identified through cDNA cloning. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1222(1). 129–133. 8 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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