Daniel Charytonowicz
Impact in
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- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
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- Spine and Intervertebral Disc Pathology
Papers in
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- Single-cell and spatial transcriptomics 2
- Renal and related cancers 2
- TGF-β signaling in diseases 1
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- Cancer-related molecular mechanisms research 2
- MicroRNA in disease regulation 1
- Cancer Genomics and Diagnostics 1
- Co-authors
- Robert Sebra (5 shared papers)Rachel Brody (1 shared paper)Christopher J. Panebianco (1 shared paper)James C. Iatridis (1 shared paper)Ed Wilson (1 shared paper)Nicholas Coleman (1 shared paper)Matthew J. Murray (1 shared paper)Mireia Castillo-Martín (1 shared paper)
- Journals
- The Laryngoscope (1 paper)Nature Communications (1 paper)Cellular Oncology (1 paper)Journal of Neuroinflammation (1 paper)NMR in Biomedicine (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Daniel Charytonowicz
8 papers receiving 118 citations
Peers
Comparison fields: 5 of 48
- Cancer Research 24
- Pathology and Forensic Medicine 26
- Biophysics 7
- Urology 7
- Pharmacology 18
Countries citing papers authored by Daniel Charytonowicz
This map shows the geographic impact of Daniel Charytonowicz'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 Daniel Charytonowicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Charytonowicz more than expected).
Fields of papers citing papers by Daniel Charytonowicz
This network shows the impact of papers produced by Daniel Charytonowicz. 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 Daniel Charytonowicz. The network helps show where Daniel Charytonowicz may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Charytonowicz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 33 | |
| 2 | 2019 | 26 | |
| 3 | 2023 | 22 | |
| 4 | 2012 | 14 | |
| 5 | 2023 | 12 | |
| 6 | 2013 | 6 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 1 |
About Daniel Charytonowicz
Daniel Charytonowicz is a scholar working on Molecular Biology, Cancer Research, Surgery, Pathology and Forensic Medicine and Virology, having authored 8 papers that have together received 118 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Renal and related cancers (2 papers), Cancer-related molecular mechanisms research (2 papers), MicroRNA in disease regulation (1 paper), Cancer Genomics and Diagnostics (1 paper), Spine and Intervertebral Disc Pathology (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Cancer Research (24 citations), Pathology and Forensic Medicine (26 citations), Biophysics (7 citations), Urology (7 citations) and Pharmacology (18 citations). Daniel Charytonowicz has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Robert Sebra, Rachel Brody, Christopher J. Panebianco, James C. Iatridis, Ed Wilson, Nicholas Coleman, Matthew J. Murray, Mireia Castillo-Martín, Tian Shen and Nataliya Gladoun. Their work appears in journals such as The Laryngoscope, Nature Communications, Cellular Oncology, Journal of Neuroinflammation and NMR in Biomedicine.
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.