Nik Sol

2.2k citations
21 papers · 411 indexed · h-index 9

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • Cancer-related molecular mechanisms research 11
    • Cancer Genomics and Diagnostics 9
    • MicroRNA in disease regulation 4
    • Extracellular vesicles in disease 11

Nik Sol

21 papers receiving 410 citations

Peers

Nik Sol
Comparison fields: 5 of 58
  • Cancer Research 248
  • Oncology 146
  • Genetics 54
  • Molecular Biology 258
  • Hematology 36
Replace Marián Karaba with:
Marián Karaba Slovakia
Carla Castanaro United States
R. Jonas A. Nilsson Sweden
Aaron J. Schueneman United States
D. Grabau Denmark
Liliana Villafania United States
Andy Kaempf United States
Sameer A. Greenall Australia
Jan Sun United States
Archana Anantharaman United States
Nik Sol relative to Marián Karaba Slovakia Marián Karaba's profile →
Citations per field
00.5×2.8×
Marián Karaba · 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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019105
2 201572
3 201764
4 202041
5 202135
6 201432
7 201712
8 202012
9 20208
10 20197
11 20246
12 20245
13 20252
14 20222
15 20182
16 20231
17 20181
18 20151
19 20171
20 20211

About Nik Sol

Nik Sol is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 21 papers that have together received 411 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (11 papers), Cancer-related molecular mechanisms research (11 papers), Cancer Genomics and Diagnostics (9 papers), MicroRNA in disease regulation (4 papers), Lung Cancer Treatments and Mutations (2 papers), Ferroptosis and cancer prognosis (2 papers), Glioma Diagnosis and Treatment (2 papers) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Cancer Research (248 citations), Oncology (146 citations), Genetics (54 citations), Molecular Biology (258 citations) and Hematology (36 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, Kimberley M. Heinhuis, Tom Würdinger, Neeltje Steeghs, Winan J. van Houdt and Daan van den Broek. Their work appears in journals such as Acta Neuropathologica, Cancers, Neuro-Oncology, Cancer Research and Cancer and Metastasis Reviews.

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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