Julia Andrieni
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Cardiovascular Health and Risk Factors 2
- Blood Pressure and Hypertension Studies 2
- Oncology 4
- COVID-19 and healthcare impacts 4
- Co-authors
- Khurram Nasir (8 shared papers)Farhaan Vahidy (5 shared papers)Alan Pan (3 shared papers)Bita A. Kash (4 shared papers)Yordanos M. Tiruneh (2 shared papers)Faisal Masud (2 shared papers)Osman Khan (2 shared papers)Robert A. Phillips (2 shared papers)
- Journals
- Circulation (3 papers)Retina (1 paper)BMJ Open (1 paper)The Journal of the American Board of Family Medicine (1 paper)JAMA Cardiology (1 paper)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Julia Andrieni
16 papers receiving 407 citations
Peers
Comparison fields: 5 of 79
- Modeling and Simulation 58
- Infectious Diseases 179
- Health 63
- Obstetrics and Gynecology 44
- Clinical Psychology 97
Countries citing papers authored by Julia Andrieni
This map shows the geographic impact of Julia Andrieni'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 Julia Andrieni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Andrieni more than expected).
Fields of papers citing papers by Julia Andrieni
This network shows the impact of papers produced by Julia Andrieni. 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 Julia Andrieni. The network helps show where Julia Andrieni may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Andrieni, 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 | 2020 | 162 | |
| 2 | 2021 | 148 | |
| 3 | 2020 | 30 | |
| 4 | 2021 | 22 | |
| 5 | 2022 | 14 | |
| 6 | 2020 | 8 | |
| 7 | 2021 | 7 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2017 | 3 | |
| 11 | 2024 | 3 | |
| 12 | Premature coronary artery disease in systemic lupus erythematosus with extensive reocclusion following coronary artery bypass surgery. | 2003 | 3 |
| 13 | 2022 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2023 | 1 |
About Julia Andrieni
Julia Andrieni is a scholar working on Cardiology and Cardiovascular Medicine, Oncology, Infectious Diseases, Clinical Psychology and Economics and Econometrics, having authored 16 papers that have together received 412 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), COVID-19 Clinical Research Studies (3 papers), COVID-19 and Mental Health (3 papers), Cardiovascular Health and Risk Factors (2 papers), Blood Pressure and Hypertension Studies (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Atherosclerosis and Cardiovascular Diseases (1 paper). The work is most often cited by research in Modeling and Simulation (58 citations), Infectious Diseases (179 citations), Health (63 citations), Obstetrics and Gynecology (44 citations) and Clinical Psychology (97 citations). Julia Andrieni has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Khurram Nasir, Farhaan Vahidy, Alan Pan, Bita A. Kash, Yordanos M. Tiruneh, Faisal Masud, Osman Khan, Robert A. Phillips, Jennifer Meeks and Yashasvee Munshi. Their work appears in journals such as Circulation, Retina, BMJ Open, The Journal of the American Board of Family Medicine and JAMA 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.