Linda Pytlik
- Cardiology and Cardiovascular Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Oncology
- Co-authors
- Barry L. ZaretHarvey J. BergerAlexander GottschalkLawrence A. RedutoDavid E. JohnstoneLee GoldmanRichard A. MatthayDonald A. Mahler
- Topics
- Cardiac Imaging and Diagnostics (6 papers)Pulmonary Hypertension Research and Treatments (4 papers)Cardiovascular Function and Risk Factors (4 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- New England Journal of MedicineJournal of the American College of CardiologyJournal of Applied Physiology
- Partner nations
- United States
In The Last Decade
Linda Pytlik
11 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Cardiology and Cardiovascular Medicine 875
- Radiology, Nuclear Medicine and Imaging 429
- Pulmonary and Respiratory Medicine 338
- Surgery 190
- Oncology 183
Countries citing papers authored by Linda Pytlik
This map shows the geographic impact of Linda Pytlik'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 Linda Pytlik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Pytlik more than expected).
Fields of papers citing papers by Linda Pytlik
This network shows the impact of papers produced by Linda Pytlik. 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 Linda Pytlik. The network helps show where Linda Pytlik may publish in the future.
Co-authorship network of co-authors of Linda Pytlik
This figure shows the co-authorship network connecting the top 25 collaborators of Linda Pytlik. A scholar is included among the top collaborators of Linda Pytlik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Linda Pytlik. Linda Pytlik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 5 | |
| 3 | 47 | |
| 4 | 39 | |
| 5 | 21 | |
| 6 | 162 | |
| 7 | 20 | |
| 8 | 67 | |
| 9 | Serial Assessment of Doxorubicin Cardiotoxicity with Quantitative Radionuclide Angiocardiographybreakdown → | 418 |
| 10 | 59 | |
| 11 | 268 |
About Linda Pytlik
Linda Pytlik is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (6 papers), Pulmonary Hypertension Research and Treatments (4 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (875 citations), Radiology, Nuclear Medicine and Imaging (429 citations) and Pulmonary and Respiratory Medicine (338 citations). Linda Pytlik has collaborated with scholars based in United States. Frequent co-authors include Barry L. Zaret, Harvey J. Berger, Alexander Gottschalk, Lawrence A. Reduto, David E. Johnstone, Lee Goldman, Richard A. Matthay, Donald A. Mahler, Bruce N. Brent and Peter E. Schwartz. Their work appears in journals such as New England Journal of Medicine, Journal of the American College of Cardiology and Journal of Applied Physiology.
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.