Sara Pasik
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Surgery 4
- Cervical and Thoracic Myelopathy 2
-
- Hepatocellular Carcinoma Treatment and Prognosis 4
- Co-authors
- Varun Arvind (5 shared papers)Samuel K. Cho (6 shared papers)Jun Kim (6 shared papers)Luilly Vargas (1 shared paper)Robert Merrill (1 shared paper)John M. Caridi (1 shared paper)Deepak Kaji (1 shared paper)Eric K. Oermann (1 shared paper)
- Journals
- Journal of Vascular and Interventional Radiology (2 papers)Journal of Patient Safety (1 paper)Spine (1 paper)Neurobiology of Learning and Memory (1 paper)Neurospine (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Sara Pasik
19 papers receiving 271 citations
Peers
Comparison fields: 5 of 61
- Health Informatics 33
- Hepatology 37
- Behavioral Neuroscience 7
- Internal Medicine 6
- Pathology and Forensic Medicine 31
Countries citing papers authored by Sara Pasik
This map shows the geographic impact of Sara Pasik'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 Sara Pasik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Pasik more than expected).
Fields of papers citing papers by Sara Pasik
This network shows the impact of papers produced by Sara Pasik. 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 Sara Pasik. The network helps show where Sara Pasik may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara Pasik, 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 | 2017 | 140 | |
| 2 | 2020 | 30 | |
| 3 | 2016 | 27 | |
| 4 | 2019 | 13 | |
| 5 | 2021 | 12 | |
| 6 | 2019 | 11 | |
| 7 | 2021 | 10 | |
| 8 | 2018 | 7 | |
| 9 | 2022 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2018 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2023 | 2 | |
| 15 | [Hip dysplasia. Survey in Llanquihue Province]. | 1972 | 2 |
| 16 | 2019 | 1 | |
| 17 | An estimate of Y-90 dosimetry for bremsstrahlung SPECT/CT imaging | 2019 | 1 |
| 18 | 2023 | 1 | |
| 19 | [Ambulatory surgery of varicose veins]. | 1987 | 1 |
About Sara Pasik
Sara Pasik is a scholar working on Surgery, Hepatology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Emergency Medicine, having authored 19 papers that have together received 275 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Hospital Admissions and Outcomes (2 papers), Cervical and Thoracic Myelopathy (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Healthcare cost, quality, practices (1 paper), Ferroptosis and cancer prognosis (1 paper), Advanced Radiotherapy Techniques (1 paper) and High Altitude and Hypoxia (1 paper). The work is most often cited by research in Health Informatics (33 citations), Hepatology (37 citations), Behavioral Neuroscience (7 citations), Internal Medicine (6 citations) and Pathology and Forensic Medicine (31 citations). Sara Pasik has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Varun Arvind, Samuel K. Cho, Jun Kim, Luilly Vargas, Robert Merrill, John M. Caridi, Deepak Kaji, Eric K. Oermann, Nebiyu Osman and Elizabeth P. Bauer. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Journal of Patient Safety, Spine, Neurobiology of Learning and Memory and Neurospine.
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.