Tyler Cardinal
Impact in
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- Pituitary Gland Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
Papers in
- Surgery 12
- Surgical Simulation and Training 3
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- Pituitary Gland Disorders and Treatments 8
- Growth Hormone and Insulin-like Growth Factors 4
- Co-authors
- Gabriel Zada (20 shared papers)Dhiraj J. Pangal (12 shared papers)John D. Carmichael (7 shared papers)Ben A. Strickland (10 shared papers)Alexander Micko (5 shared papers)Phillip A. Bonney (5 shared papers)Martin J. Rutkowski (4 shared papers)Mark S. Shiroishi (3 shared papers)
- Journals
- World Neurosurgery (7 papers)Journal of neurosurgery (3 papers)Neuro-Oncology Advances (2 papers)Neurosurgical FOCUS (2 papers)JAMA Network Open (1 paper)
- Partner nations
- United StatesAustriaAustralia
In The Last Decade
Tyler Cardinal
22 papers receiving 287 citations
Peers
Comparison fields: 5 of 65
- Endocrinology, Diabetes and Metabolism 117
- Health Informatics 9
- Genetics 58
- Surgery 116
- Epidemiology 65
Countries citing papers authored by Tyler Cardinal
This map shows the geographic impact of Tyler Cardinal'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 Tyler Cardinal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Cardinal more than expected).
Fields of papers citing papers by Tyler Cardinal
This network shows the impact of papers produced by Tyler Cardinal. 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 Tyler Cardinal. The network helps show where Tyler Cardinal may publish in the future.
Co-authors
The 25 scholars most cited alongside Tyler Cardinal, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 41 | |
| 2 | 2021 | 29 | |
| 3 | 2020 | 22 | |
| 4 | 2021 | 21 | |
| 5 | 2022 | 20 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 18 | |
| 8 | 2019 | 17 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2022 | 2 |
About Tyler Cardinal
Tyler Cardinal is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Epidemiology and Genetics, having authored 25 papers that have together received 288 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (8 papers), Glioma Diagnosis and Treatment (6 papers), Meningioma and schwannoma management (5 papers), Brain Metastases and Treatment (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Spine and Intervertebral Disc Pathology (3 papers), Lung Cancer Research Studies (3 papers) and Surgical Simulation and Training (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (117 citations), Health Informatics (9 citations), Genetics (58 citations), Surgery (116 citations) and Epidemiology (65 citations). Tyler Cardinal has collaborated with scholars based in United States, Austria and Australia. Frequent co-authors include Gabriel Zada, Dhiraj J. Pangal, John D. Carmichael, Ben A. Strickland, Alexander Micko, Phillip A. Bonney, Martin J. Rutkowski, Mark S. Shiroishi, Steven L. Giannotta and Daniel A. Donoho. Their work appears in journals such as World Neurosurgery, Journal of neurosurgery, Neuro-Oncology Advances, Neurosurgical FOCUS and JAMA Network Open.
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.