Nik Sol
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Inflammatory Biomarkers in Disease Prognosis
Papers in
-
- Cancer-related molecular mechanisms research 10
- Cancer Genomics and Diagnostics 9
- MicroRNA in disease regulation 3
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- Extracellular vesicles in disease 10
- Co-authors
- Thomas Würdinger (14 shared papers)Myron G. Best (16 shared papers)Sjors G. J. G. In ‘t Veld (9 shared papers)Jaap C. Reijneveld (2 shared papers)Pieter Wesseling (2 shared papers)Daan van den Broek (4 shared papers)Winan J. van Houdt (2 shared papers)Tom Würdinger (4 shared papers)
- Journals
- Cancer Research (2 papers)Acta Neuropathologica (2 papers)Cancers (2 papers)Neuro-Oncology (2 papers)Nature Protocols (1 paper)
- Partner nations
- NetherlandsUnited StatesSweden
In The Last Decade
Nik Sol
21 papers receiving 439 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 225
- Oncology 146
- Genetics 52
- Hematology 38
- Molecular Biology 244
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 111 | |
| 2 | 2015 | 75 | |
| 3 | 2017 | 70 | |
| 4 | 2020 | 46 | |
| 5 | 2021 | 39 | |
| 6 | 2014 | 32 | |
| 7 | 2017 | 13 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 8 | |
| 10 | 2019 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2025 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2018 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2017 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2022 | 1 |
About Nik Sol
Nik Sol is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Oncology, having authored 21 papers that have together received 440 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Extracellular vesicles in disease (10 papers), Cancer Genomics and Diagnostics (9 papers), MicroRNA in disease regulation (3 papers), Ferroptosis and cancer prognosis (2 papers), Glioma Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Cancer Research (225 citations), Oncology (146 citations), Genetics (52 citations), Hematology (38 citations) and Molecular Biology (244 citations). Nik Sol has collaborated with scholars based in Netherlands, United States and Sweden. Frequent co-authors include Thomas Würdinger, Myron G. Best, Sjors G. J. G. In ‘t Veld, Jaap C. Reijneveld, Pieter Wesseling, Daan van den Broek, Winan J. van Houdt, Tom Würdinger, Frits van Coevorden and Neeltje Steeghs. Their work appears in journals such as Cancer Research, Acta Neuropathologica, Cancers, Neuro-Oncology and Nature Protocols.
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.