Maya Safarova
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Cancer Research
- Economics and Econometrics top 10%
- Co-authors
- М. В. ЕжовO. AfanasievaS. PokrovskyIftikhar J. KulloHongfang LiuIftikhar KulloI. AdamováG A Konovalov
- Topics
- Lipoproteins and Cardiovascular Health (29 papers)Coronary Interventions and Diagnostics (8 papers)Acute Myocardial Infarction Research (7 papers)
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- United StatesRussiaCzechia
In The Last Decade
Maya Safarova
41 papers receiving 723 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Surgery 522
- Cardiology and Cardiovascular Medicine 211
- Endocrinology, Diabetes and Metabolism 167
- Cancer Research 159
- Economics and Econometrics 116
Countries citing papers authored by Maya Safarova
This map shows the geographic impact of Maya Safarova'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 Maya Safarova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Safarova more than expected).
Fields of papers citing papers by Maya Safarova
This network shows the impact of papers produced by Maya Safarova. 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 Maya Safarova. The network helps show where Maya Safarova may publish in the future.
Co-authorship network of co-authors of Maya Safarova
This figure shows the co-authorship network connecting the top 25 collaborators of Maya Safarova. A scholar is included among the top collaborators of Maya Safarova 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 Maya Safarova. Maya Safarova 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 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | A focused update to the 2019 NLA scientific statement on use of lipoprotein(a) in clinical practicebreakdown → | 127 |
| 7 | 27 | |
| 8 | 29 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 16 | |
| 12 | 18 | |
| 13 | 10 | |
| 14 | 27 | |
| 15 | 16 | |
| 16 | 24 | |
| 17 | 4 | |
| 18 | 38 | |
| 19 | 1 | |
| 20 | Lipoprotein (a) polymorphism as a risk factor of coronary and carotid atherosclerosis and its complications in women | 2 |
About Maya Safarova
Maya Safarova is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Cancer Research, having authored 47 papers that have together received 736 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (29 papers), Coronary Interventions and Diagnostics (8 papers) and Acute Myocardial Infarction Research (7 papers). The work is most often cited by research in Surgery (522 citations), Cancer Research (159 citations) and Endocrinology, Diabetes and Metabolism (167 citations). Maya Safarova has collaborated with scholars based in United States, Russia and Czechia. Frequent co-authors include М. В. Ежов, O. Afanasieva, S. Pokrovsky, Iftikhar J. Kullo, Hongfang Liu, Iftikhar Kullo, I. Adamová, G A Konovalov, Patrick M. Moriarty and Daniel Soffer. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología 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.