Mark C. Preul
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Physiology top 5%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
Papers in
- Genetics 8
- Glioma Diagnosis and Treatment 8
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- Diet and metabolism studies 6
- Co-authors
- Adrienne C. Scheck (18 shared papers)Mohammed G. Abdelwahab (13 shared papers)Phillip Stafford (5 shared papers)Jong M. Rho (4 shared papers)Kathryn E. Fenton (4 shared papers)Andy G. Lynch (2 shared papers)Do Young Kim (2 shared papers)Robert F. Spetzler (5 shared papers)
- Journals
- Cancer Research (3 papers)Neurosurgery (3 papers)Journal of neurosurgery (3 papers)Neurosurgical FOCUS (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesSlovakiaCanada
In The Last Decade
Mark C. Preul
20 papers receiving 907 citations
Peers
Comparison fields: 5 of 81
- Genetics 268
- Physiology 397
- Cancer Research 221
- Clinical Biochemistry 61
- Modeling and Simulation 35
Countries citing papers authored by Mark C. Preul
This map shows the geographic impact of Mark C. Preul'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 Mark C. Preul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark C. Preul more than expected).
Fields of papers citing papers by Mark C. Preul
This network shows the impact of papers produced by Mark C. Preul. 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 Mark C. Preul. The network helps show where Mark C. Preul may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark C. Preul, 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 | 2012 | 222 | |
| 2 | 2010 | 170 | |
| 3 | 2015 | 95 | |
| 4 | 2011 | 95 | |
| 5 | 2010 | 66 | |
| 6 | 2014 | 60 | |
| 7 | 2017 | 41 | |
| 8 | 1990 | 32 | |
| 9 | 2011 | 31 | |
| 10 | 2012 | 24 | |
| 11 | 2012 | 22 | |
| 12 | 2017 | 20 | |
| 13 | 2012 | 17 | |
| 14 | 2012 | 12 | |
| 15 | 2014 | 11 | |
| 16 | 2010 | 5 | |
| 17 | 2012 | 4 | |
| 18 | 2013 | 2 | |
| 19 | 2010 | 2 | |
| 20 | 2024 | 1 |
About Mark C. Preul
Mark C. Preul is a scholar working on Genetics, Physiology, Biomedical Engineering, Molecular Biology and Cancer Research, having authored 21 papers that have together received 932 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Diet and metabolism studies (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Nanoplatforms for cancer theranostics (4 papers), Mitochondrial Function and Pathology (4 papers), Immune cells in cancer (3 papers), Medical Imaging Techniques and Applications (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Genetics (268 citations), Physiology (397 citations), Cancer Research (221 citations), Clinical Biochemistry (61 citations) and Modeling and Simulation (35 citations). Mark C. Preul has collaborated with scholars based in United States, Slovakia and Canada. Frequent co-authors include Adrienne C. Scheck, Mohammed G. Abdelwahab, Phillip Stafford, Jong M. Rho, Kathryn E. Fenton, Andy G. Lynch, Do Young Kim, Robert F. Spetzler, Peter Nakaji and Nikolay L. Martirosyan. Their work appears in journals such as Cancer Research, Neurosurgery, Journal of neurosurgery, Neurosurgical FOCUS and PLoS ONE.
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.