Nik Sol
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Hematology top 5%
- Platelet Disorders and Treatments
Papers in
-
- Cancer Genomics and Diagnostics 12
- Genetics 8
- Glioma Diagnosis and Treatment 8
- Co-authors
- Thomas D. Wurdinger (11 shared papers)Myron G. Best (12 shared papers)Sjors G. J. G. In ‘t Veld (8 shared papers)Pieter Wesseling (3 shared papers)Jaap C. Reijneveld (2 shared papers)Frits van Coevorden (2 shared papers)Daan A. van den Broek (3 shared papers)Winan J. van Houdt (2 shared papers)
- Journals
- Neuro-Oncology (3 papers)Acta Neuropathologica (3 papers)Cancer Cell (3 papers)Cancers (2 papers)Multiple Sclerosis Journal (1 paper)
- Partner nations
- NetherlandsUnited StatesSweden
In The Last Decade
Nik Sol
27 papers receiving 1.8k citations
Nik Sol's Hit Papers
Peers
Comparison fields: 5 of 71
- Cancer Research 704
- Hematology 357
- Genetics 159
- Oncology 310
- Molecular Biology 725
Countries citing papers authored by Nik Sol
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
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.
All Works
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 → | 2015 | 740 |
| 2 | 2017 | 278 | |
| 3 | 2019 | 123 | |
| 4 | 2022 | 103 | |
| 5 | 2013 | 101 | |
| 6 | 2020 | 89 | |
| 7 | 2015 | 78 | |
| 8 | 2017 | 77 | |
| 9 | 2020 | 51 | |
| 10 | 2021 | 41 | |
| 11 | 2014 | 32 | |
| 12 | 2022 | 25 | |
| 13 | 2023 | 25 | |
| 14 | 2017 | 16 | |
| 15 | 2020 | 13 | |
| 16 | 2020 | 10 | |
| 17 | 2024 | 9 | |
| 18 | 2025 | 9 | |
| 19 | 2019 | 8 | |
| 20 | 2024 | 8 |
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.