Mark C. Preul
Impact in
-
- Spine and Intervertebral Disc Pathology
- Spinal Cord Injury Research
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- Spine and Intervertebral Disc Pathology 20
- Surgery 20
- Spinal Fractures and Fixation Techniques 7
- Surgical Simulation and Training 4
- Co-authors
- Evgenii Belykh (22 shared papers)Vadim A. Byvaltsev (21 shared papers)Nikolay L. Martirosyan (8 shared papers)Nicholas Theodore (10 shared papers)Jeffrey A. Brown (1 shared paper)Peter Nakaji (9 shared papers)Morgan B. Giers (10 shared papers)Eric J Miller (5 shared papers)
- Journals
- World Neurosurgery (13 papers)Neurosurgery (2 papers)Journal of Neurosurgery Spine (2 papers)The Spine Journal (2 papers)Spine (2 papers)
- Partner nations
- United StatesRussiaKazakhstan
In The Last Decade
Mark C. Preul
39 papers receiving 996 citations
Peers
Comparison fields: 5 of 91
- Pathology and Forensic Medicine 525
- Genetics 188
- Pharmacology 201
- Surgery 374
- Neurology 124
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 108 | |
| 2 | 2016 | 103 | |
| 3 | 2007 | 90 | |
| 4 | 2016 | 87 | |
| 5 | 1988 | 64 | |
| 6 | 1998 | 58 | |
| 7 | 2015 | 55 | |
| 8 | 2016 | 52 | |
| 9 | 2018 | 47 | |
| 10 | 2016 | 34 | |
| 11 | 2018 | 31 | |
| 12 | 2018 | 30 | |
| 13 | 2017 | 27 | |
| 14 | 2016 | 26 | |
| 15 | 2018 | 25 | |
| 16 | 2016 | 22 | |
| 17 | 2015 | 16 | |
| 18 | 2004 | 16 | |
| 19 | 2018 | 15 | |
| 20 | 2018 | 13 |
About Mark C. Preul
Mark C. Preul is a scholar working on Pathology and Forensic Medicine, Surgery, Biomedical Engineering, Pharmacology and Genetics, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (20 papers), Musculoskeletal pain and rehabilitation (8 papers), Spinal Fractures and Fixation Techniques (7 papers), Meningioma and schwannoma management (6 papers), Glioma Diagnosis and Treatment (6 papers), Anatomy and Medical Technology (4 papers), Medical Imaging and Analysis (4 papers) and Surgical Simulation and Training (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (525 citations), Genetics (188 citations), Pharmacology (201 citations), Surgery (374 citations) and Neurology (124 citations). Mark C. Preul has collaborated with scholars based in United States, Russia and Kazakhstan. Frequent co-authors include Evgenii Belykh, Vadim A. Byvaltsev, Nikolay L. Martirosyan, Nicholas Theodore, Jeffrey A. Brown, Peter Nakaji, Morgan B. Giers, Eric J Miller, Sergiy V. Kushchayev and M. Yashar S. Kalani. Their work appears in journals such as World Neurosurgery, Neurosurgery, Journal of Neurosurgery Spine, The Spine Journal and Spine.
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.