Elena Velkoska
- Cardiology and Cardiovascular Medicine top 5%
- Infectious Diseases top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Physiology top 10%
- Co-authors
- Louise M. BurrellSheila K. PatelMargaret J. MorrisRachael DeanKaren GriggsLuke J. BurchillTimothy J. ColeBryan Wai
- Topics
- Renin-Angiotensin System Studies (23 papers)Hormonal Regulation and Hypertension (18 papers)Apelin-related biomedical research (11 papers)
- Cited by
- Cardiology and Cardiovascular MedicineInfectious DiseasesEndocrinology, Diabetes and Metabolism
- Journals
- CirculationPLoS ONEHypertension
- Partner nations
- AustraliaUnited StatesSwitzerland
In The Last Decade
Elena Velkoska
53 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 100
- Cardiology and Cardiovascular Medicine 632
- Infectious Diseases 463
- Endocrinology, Diabetes and Metabolism 395
- Molecular Biology 304
- Physiology 225
Countries citing papers authored by Elena Velkoska
This map shows the geographic impact of Elena Velkoska'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 Elena Velkoska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Velkoska more than expected).
Fields of papers citing papers by Elena Velkoska
This network shows the impact of papers produced by Elena Velkoska. 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 Elena Velkoska. The network helps show where Elena Velkoska may publish in the future.
Co-authorship network of co-authors of Elena Velkoska
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Velkoska. A scholar is included among the top collaborators of Elena Velkoska 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 Elena Velkoska. Elena Velkoska 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 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 37 | |
| 8 | 104 | |
| 9 | 22 | |
| 10 | 28 | |
| 11 | 52 | |
| 12 | ROLE FOR RENAL ANGIOTENSIN CONVERTING ENZYME 2 IN THE ADAPTION TO NEPHRON LOSS FOLLOWING SUBTOTAL NEPHRECTOMY IN THE RAT | 1 |
| 13 | 31 | |
| 14 | 23 | |
| 15 | 53 | |
| 16 | 15 | |
| 17 | 71 | |
| 18 | 33 | |
| 19 | 108 | |
| 20 | 29 |
About Elena Velkoska
Elena Velkoska is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (23 papers), Hormonal Regulation and Hypertension (18 papers) and Apelin-related biomedical research (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (632 citations), Infectious Diseases (463 citations) and Endocrinology, Diabetes and Metabolism (395 citations). Elena Velkoska has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Louise M. Burrell, Sheila K. Patel, Margaret J. Morris, Rachael Dean, Karen Griggs, Luke J. Burchill, Timothy J. Cole, Bryan Wai, Tim Cole and Vicki Levidiotis. Their work appears in journals such as Circulation, PLoS ONE and Hypertension.
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.