Nik Sol

27 papers receiving 1.8k citations

Nik Sol's Hit Papers

RNA-Seq of Tumor-Educated Platelets Enables Blood-Based Pan-Cancer, Multiclass, and Molecular Pathway Cancer Diagnostics 2015 · 740 citations
7400+3+7Years since publication200400600

Peers

Nik Sol
Comparison fields: 5 of 71
  • Cancer Research 704
  • Hematology 357
  • Genetics 159
  • Oncology 310
  • Molecular Biology 725
Replace R. Jonas A. Nilsson with:
R. Jonas A. Nilsson Netherlands
Irsan E. Kooi Netherlands
Myron G. Best Netherlands
Heleen Verschueren Netherlands
Laurine E. Wedekind Netherlands
Jihane M. Tannous United States
Erwan Pencreach France
Anand Mayakonda United States
William W.L. Choi United States
Esther M. de Kruijf Netherlands
Nik Sol relative to R. Jonas A. Nilsson Netherlands R. Jonas A. Nilsson's profile →
Citations per field
00.5×1.5×
R. Jonas A. Nilsson · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Nik Sol, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nik Sol Line = papers co-authored together Nik Sol links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
RNA-Seq of Tumor-Educated Platelets Enables Blood-Based Pan-Cancer, Multiclass, and Molecular Pathway Cancer Diagnostics
Hit paper breakdown →
2015740
2 2017278
3 2019123
4 2022103
5 2013101
6 202089
7 201578
8 201777
9 202051
10 202141
11 201432
12 202225
13 202325
14 201716
15 202013
16 202010
17 20249
18 20259
19 20198
20 20248

About Nik Sol

Nik Sol is a scholar working on Cancer Research, Genetics, Molecular Biology, Pulmonary and Respiratory Medicine and Hematology, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (13 papers), Cancer Genomics and Diagnostics (12 papers), Glioma Diagnosis and Treatment (8 papers), Gene expression and cancer classification (4 papers), Sarcoma Diagnosis and Treatment (2 papers), Platelet Disorders and Treatments (2 papers), Multiple Sclerosis Research Studies (2 papers) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Cancer Research (704 citations), Hematology (357 citations), Genetics (159 citations), Oncology (310 citations) and Molecular Biology (725 citations). Nik Sol has collaborated with scholars based in Netherlands, United States and Sweden. Frequent co-authors include Thomas D. Wurdinger, Myron G. Best, Sjors G. J. G. In ‘t Veld, Pieter Wesseling, Jaap C. Reijneveld, Frits van Coevorden, Daan A. van den Broek, Winan J. van Houdt, Tom Würdinger and Kimberley M. Heinhuis. Their work appears in journals such as Neuro-Oncology, Acta Neuropathologica, Cancer Cell, Cancers and Multiple Sclerosis Journal.

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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