Nour Tashtish
- Cardiology and Cardiovascular Medicine
- Oncology
- Infectious Diseases
- Epidemiology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Sadeer Al‐KindiDaniel I. SimonSanjay RajagopalanMarco A. CostaMehdi H. ShishehborSteven J. FilbyFarshad ForouzandehScott E. Janus
- Topics
- Cardiac Imaging and Diagnostics (9 papers)Lipoproteins and Cardiovascular Health (7 papers)Acute Myocardial Infarction Research (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodJournal of the American College of Cardiology
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Nour Tashtish
31 papers receiving 282 citations
Peers
Comparison fields: 5 of 54
- Cardiology and Cardiovascular Medicine 115
- Oncology 96
- Infectious Diseases 61
- Epidemiology 46
- Radiology, Nuclear Medicine and Imaging 43
Countries citing papers authored by Nour Tashtish
This map shows the geographic impact of Nour Tashtish'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 Nour Tashtish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nour Tashtish more than expected).
Fields of papers citing papers by Nour Tashtish
This network shows the impact of papers produced by Nour Tashtish. 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 Nour Tashtish. The network helps show where Nour Tashtish may publish in the future.
Co-authorship network of co-authors of Nour Tashtish
This figure shows the co-authorship network connecting the top 25 collaborators of Nour Tashtish. A scholar is included among the top collaborators of Nour Tashtish 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 Nour Tashtish. Nour Tashtish is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 13 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 10 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 23 | |
| 18 | 15 | |
| 19 | 3 | |
| 20 | 13 |
About Nour Tashtish
Nour Tashtish is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 286 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (9 papers), Lipoproteins and Cardiovascular Health (7 papers) and Acute Myocardial Infarction Research (6 papers). The work is most often cited by research in Internal Medicine (23 citations), Cardiology and Cardiovascular Medicine (115 citations) and Emergency Medicine (42 citations). Nour Tashtish has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Sadeer Al‐Kindi, Daniel I. Simon, Sanjay Rajagopalan, Marco A. Costa, Mehdi H. Shishehbor, Steven J. Filby, Farshad Forouzandeh, Scott E. Janus, Guilherme H. Oliveira and Brian D. Hoit. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Journal of the American College of Cardiology.
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.