Nik Sol

2.2k total citations
21 papers, 411 citations indexed

About

Nik Sol is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nik Sol has authored 21 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cancer Research, 13 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nik Sol's work include Extracellular vesicles in disease (11 papers), Cancer-related molecular mechanisms research (11 papers) and Cancer Genomics and Diagnostics (9 papers). Nik Sol is often cited by papers focused on Extracellular vesicles in disease (11 papers), Cancer-related molecular mechanisms research (11 papers) and Cancer Genomics and Diagnostics (9 papers). Nik Sol collaborates with scholars based in Netherlands, United States and Sweden. Nik Sol's co-authors include Thomas Würdinger, Myron G. Best, Sjors G. J. G. In ‘t Veld, Jaap C. Reijneveld, Pieter Wesseling, Bakhos A. Tannous, Daan van den Broek, Kimberley M. Heinhuis, Neeltje Steeghs and Tom Würdinger and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Nature Protocols.

In The Last Decade

Nik Sol

21 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nik Sol Netherlands 9 258 248 146 77 54 21 411
Archana Anantharaman United States 10 231 0.9× 210 0.8× 190 1.3× 123 1.6× 24 0.4× 16 486
Marián Karaba Slovakia 13 228 0.9× 217 0.9× 275 1.9× 62 0.8× 21 0.4× 25 465
Sameer A. Greenall Australia 13 203 0.8× 91 0.4× 142 1.0× 72 0.9× 125 2.3× 22 424
Su-Ning Huang China 13 280 1.1× 244 1.0× 74 0.5× 53 0.7× 34 0.6× 22 433
Dilara Akhoundova Switzerland 12 148 0.6× 113 0.5× 247 1.7× 118 1.5× 16 0.3× 45 425
Devang Panchal Canada 5 235 0.9× 190 0.8× 303 2.1× 108 1.4× 17 0.3× 7 511
Aaron J. Schueneman United States 7 158 0.6× 89 0.4× 183 1.3× 109 1.4× 49 0.9× 8 377
Liliana Villafania United States 9 206 0.8× 162 0.7× 144 1.0× 96 1.2× 71 1.3× 17 418
R. Jonas A. Nilsson Sweden 8 397 1.5× 416 1.7× 309 2.1× 208 2.7× 38 0.7× 10 691
Sally‐Ann Ricketts United Kingdom 9 160 0.6× 158 0.6× 83 0.6× 93 1.2× 27 0.5× 18 511

Countries citing papers authored by Nik Sol

Since Specialization
Citations

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

Fields of papers citing papers by Nik Sol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nik Sol

This figure shows the co-authorship network connecting the top 25 collaborators of Nik Sol. A scholar is included among the top collaborators of Nik Sol 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 Nik Sol. Nik Sol 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
1.
Brandsma, Dieta, et al.. (2025). Liquid biopsies for the monitoring of gliomas and brain metastases in adults. Acta Neuropathologica. 149(1). 37–37. 2 indexed citations
2.
3.
Moraal, Bastiaan, Brigit A. de Jong, Bob W. van Oosten, et al.. (2024). Impact of serum neurofilament light on clinical decisions in a tertiary multiple sclerosis clinic. Multiple Sclerosis Journal. 30(13). 1620–1629. 6 indexed citations
4.
Muller, Mirte, Myron G. Best, Vincent van der Noort, et al.. (2023). Blood platelet RNA profiles do not enable for nivolumab response prediction at baseline in patients with non-small cell lung cancer. Tumor Biology. 46(s1). S327–S340. 1 indexed citations
5.
Veld, Sjors G. J. G. In ‘t, Anna E. Huis in ‘t Veld, Nik Sol, et al.. (2022). Distinct Platelet Ribonucleic Acid Signatures in Patients with Pulmonary Hypertension. Annals of the American Thoracic Society. 19(10). 1650–1660. 2 indexed citations
6.
Post, Edward P., Nik Sol, Myron G. Best, & Thomas Würdinger. (2022). Blood platelets as an RNA biomarker platform for neuro-oncological diseases. Neuro-Oncology Advances. 4(Supplement_2). ii61–ii65. 1 indexed citations
7.
D’Ambrosi, Silvia, Allerdien Visser, Ankie Poutsma, et al.. (2021). The Analysis of Platelet-Derived circRNA Repertoire as Potential Diagnostic Biomarker for Non-Small Cell Lung Cancer. Cancers. 13(18). 4644–4644. 35 indexed citations
8.
Liefaard, Marte C., Kat Moore, Myron G. Best, et al.. (2021). Tumor-educated platelets for breast cancer detection: Biological and technical insights.. Journal of Clinical Oncology. 39(15_suppl). 3031–3031. 1 indexed citations
9.
Heinhuis, Kimberley M., Sjors G. J. G. In ‘t Veld, Daan van den Broek, et al.. (2020). RNA-Sequencing of Tumor-Educated Platelets, a Novel Biomarker for Blood-Based Sarcoma Diagnostics. Cancers. 12(6). 1372–1372. 41 indexed citations
10.
Sol, Nik, Cyra E Leurs, Eva Strijbis, et al.. (2020). Blood platelet RNA enables the detection of multiple sclerosis. Multiple Sclerosis Journal - Experimental Translational and Clinical. 6(3). 2455366752–2455366752. 12 indexed citations
11.
Liefaard, Marte C., Esther H. Lips, Myron G. Best, et al.. (2019). RNA signatures from tumor-educated platelets (TEP) enable detection of early-stage breast cancer. Annals of Oncology. 30. iii13–iii13. 7 indexed citations
12.
Best, Myron G., Sjors G. J. G. In ‘t Veld, Nik Sol, & Thomas Würdinger. (2019). RNA sequencing and swarm intelligence–enhanced classification algorithm development for blood-based disease diagnostics using spliced blood platelet RNA. Nature Protocols. 14(4). 1206–1234. 105 indexed citations
13.
Large, Tessa Y. S. Le, Laura L. Meijer, Nik Sol, et al.. (2018). Abstract 2596: Spliced messenger RNA of tumor-educated platelets yields a new diagnostic prospective for pancreatic cancer. Cancer Research. 78(13_Supplement). 2596–2596. 2 indexed citations
14.
Best, Myron G., Nik Sol, Adrienne Vancura, et al.. (2018). PO-498 Spliced RNA panels from tumor-educated platelets (TEP) enable detection of early breast cancer. ESMO Open. 3. A424–A425. 1 indexed citations
15.
Sol, Nik & Thomas Würdinger. (2017). Platelet RNA signatures for the detection of cancer. Cancer and Metastasis Reviews. 36(2). 263–272. 64 indexed citations
16.
Sol, Nik, et al.. (2017). Platelet RNA in Cancer Diagnostics. Seminars in Thrombosis and Hemostasis. 44(2). 135–141. 12 indexed citations
17.
Muller, Mirte, Myron G. Best, Nik Sol, et al.. (2017). Abstract LB-248: RNA-sequencing of tumor-educated platelets enables nivolumab immunotherapy response prediction. Cancer Research. 77(13_Supplement). LB–248. 1 indexed citations
18.
Best, Myron G., et al.. (2015). Liquid biopsies in patients with diffuse glioma. Acta Neuropathologica. 129(6). 849–865. 72 indexed citations
19.
Sol, Nik, Myron G. Best, Pepijn Schellen, et al.. (2015). CBM-16TUMOR-EDUCATED PLATELET-BASED LIQUID BIOPSIES IN GLIOBLASTOMA PATIENTS. Neuro-Oncology. 17(suppl 5). v72.3–v72. 1 indexed citations
20.
Mijn, Johannes C. van der, Nik Sol, Wouter W. Mellema, et al.. (2014). Analysis of AKT and ERK1/2 protein kinases in extracellular vesicles isolated from blood of patients with cancer. Journal of Extracellular Vesicles. 3(1). 25657–25657. 32 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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