Elena Kaschina
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery
- Pharmacology top 5%
- Co-authors
- Thomas UngerU. Muscha SteckelingsTh. UngerPawel NamsolleckManuela SommerfeldAleksandra GrzesiakSvetlana SlavićFranziska Rompe
- Topics
- Renin-Angiotensin System Studies (17 papers)Hormonal Regulation and Hypertension (9 papers)Cardiac Fibrosis and Remodeling (8 papers)
- Journals
- Nature CommunicationsThe Journal of ImmunologyJournal of the American College of Cardiology
- Partner nations
- GermanyNetherlandsDenmark
In The Last Decade
Elena Kaschina
43 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 93
- Cardiology and Cardiovascular Medicine 1.1k
- Molecular Biology 610
- Endocrinology, Diabetes and Metabolism 582
- Surgery 229
- Pharmacology 219
Countries citing papers authored by Elena Kaschina
This map shows the geographic impact of Elena Kaschina'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 Kaschina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Kaschina more than expected).
Fields of papers citing papers by Elena Kaschina
This network shows the impact of papers produced by Elena Kaschina. 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 Kaschina. The network helps show where Elena Kaschina may publish in the future.
Co-authorship network of co-authors of Elena Kaschina
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Kaschina. A scholar is included among the top collaborators of Elena Kaschina 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 Kaschina. Elena Kaschina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 57 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 23 | |
| 7 | 27 | |
| 8 | 18 | |
| 9 | 92 | |
| 10 | 12 | |
| 11 | 15 | |
| 12 | 10 | |
| 13 | AT2 Receptor Agonism Regulates TIMP1/MMP9 Axis in the Heart Preventing Cardiac Fibrosis and Improving Heart Function After Experimental Myocardial Infarction | 1 |
| 14 | 29 | |
| 15 | 42 | |
| 16 | 52 | |
| 17 | 196 | |
| 18 | 13 | |
| 19 | 22 | |
| 20 | 46 |
About Elena Kaschina
Elena Kaschina is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (17 papers), Hormonal Regulation and Hypertension (9 papers) and Cardiac Fibrosis and Remodeling (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Endocrinology, Diabetes and Metabolism (582 citations) and Pharmacology (219 citations). Elena Kaschina has collaborated with scholars based in Germany, Netherlands and Denmark. Frequent co-authors include Thomas Unger, U. Muscha Steckelings, Th. Unger, Pawel Namsolleck, Manuela Sommerfeld, Aleksandra Grzesiak, Svetlana Slavić, Franziska Rompe, Ulrich Kintscher and Christa Thöne‐Reineke. Their work appears in journals such as Nature Communications, The Journal of Immunology 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.