Mark C. Preul
Impact in
Papers in
- Co-authors
- Robert F. Spetzler (109 shared papers)Peter Nakaji (90 shared papers)Evgenii G. Belykh (100 shared papers)Douglas Lorne Arnold (13 shared papers)Nikolay L. Martirosyan (35 shared papers)Richard Leblanc (16 shared papers)Pushpa Deshmukh (29 shared papers)Neil R. Crawford (24 shared papers)
- Journals
- World Neurosurgery (60 papers)Journal of neurosurgery (57 papers)Operative Neurosurgery (54 papers)Neurosurgery (36 papers)Neurosurgical FOCUS (26 papers)
- Partner nations
- United StatesRussiaBrazil
In The Last Decade
Mark C. Preul
407 papers receiving 10.4k citations
Mark C. Preul's Hit Papers
Peers
Comparison fields: 5 of 156
- Genetics 1.4k
- Neurology 2.3k
- Pathology and Forensic Medicine 1.2k
- Radiology, Nuclear Medicine and Imaging 1.6k
- Surgery 2.4k
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 429 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 447 | |
| 2 | Safety and Efficacy of an Injectable Extracellular Matrix Hydrogel for Treating Myocardial Infarction Hit paper breakdown → | 2013 | 396 |
| 3 | 2001 | 281 | |
| 4 | 1995 | 255 | |
| 5 | 2011 | 188 | |
| 6 | 1994 | 183 | |
| 7 | 2020 | 162 | |
| 8 | 2007 | 141 | |
| 9 | 2015 | 140 | |
| 10 | 2018 | 126 | |
| 11 | 2006 | 122 | |
| 12 | 2011 | 120 | |
| 13 | 2016 | 113 | |
| 14 | 2002 | 109 | |
| 15 | 1993 | 107 | |
| 16 | 2007 | 106 | |
| 17 | 2011 | 99 | |
| 18 | 2006 | 97 | |
| 19 | 2016 | 97 | |
| 20 | 2016 | 93 |
About Mark C. Preul
Mark C. Preul is a scholar working on Neurology, Surgery, Genetics, Pathology and Forensic Medicine and Epidemiology, having authored 429 papers that have together received 10.7k indexed citations. Recurring topics across this work include Head and Neck Surgical Oncology (72 papers), Intracranial Aneurysms: Treatment and Complications (71 papers), Neurosurgical Procedures and Complications (56 papers), History of Medical Practice (53 papers), Meningioma and schwannoma management (50 papers), Glioma Diagnosis and Treatment (47 papers), Surgical Simulation and Training (31 papers) and Anatomy and Medical Technology (31 papers). The work is most often cited by research in Genetics (1.4k citations), Neurology (2.3k citations), Pathology and Forensic Medicine (1.2k citations), Radiology, Nuclear Medicine and Imaging (1.6k citations) and Surgery (2.4k citations). Mark C. Preul has collaborated with scholars based in United States, Russia and Brazil. Frequent co-authors include Robert F. Spetzler, Peter Nakaji, Evgenii G. Belykh, Douglas Lorne Arnold, Nikolay L. Martirosyan, Richard Leblanc, Pushpa Deshmukh, Neil R. Crawford, Daniel Dutra Cavalcanti and M. Yashar S. Kalani. Their work appears in journals such as World Neurosurgery, Journal of neurosurgery, Operative Neurosurgery, Neurosurgery and Neurosurgical FOCUS.
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.