Ekaterina Legchenko
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Cancer Research
- Surgery
- Co-authors
- Georg HansmannPhilippe ChouvarineDanny JonigkPaul BorchertLaurent CalvierMiklós MózesNadine HoffmannMartin Meier
- Topics
- Pulmonary Hypertension Research and Treatments (12 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers)Cardiovascular Function and Risk Factors (4 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Ekaterina Legchenko
19 papers receiving 729 citations
Peers
Comparison fields: 5 of 81
- Pulmonary and Respiratory Medicine 357
- Molecular Biology 307
- Cardiology and Cardiovascular Medicine 230
- Cancer Research 124
- Surgery 110
Countries citing papers authored by Ekaterina Legchenko
This map shows the geographic impact of Ekaterina Legchenko'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 Ekaterina Legchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ekaterina Legchenko more than expected).
Fields of papers citing papers by Ekaterina Legchenko
This network shows the impact of papers produced by Ekaterina Legchenko. 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 Ekaterina Legchenko. The network helps show where Ekaterina Legchenko may publish in the future.
Co-authorship network of co-authors of Ekaterina Legchenko
This figure shows the co-authorship network connecting the top 25 collaborators of Ekaterina Legchenko. A scholar is included among the top collaborators of Ekaterina Legchenko 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 Ekaterina Legchenko. Ekaterina Legchenko 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 | 7 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 52 | |
| 9 | 19 | |
| 10 | 3 | |
| 11 | 16 | |
| 12 | 41 | |
| 13 | 45 | |
| 14 | 22 | |
| 15 | 226 | |
| 16 | 1 | |
| 17 | 189 | |
| 18 | 74 | |
| 19 | 4 | |
| 20 | 4 |
About Ekaterina Legchenko
Ekaterina Legchenko is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 20 papers that have together received 737 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (12 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (357 citations), Cardiology and Cardiovascular Medicine (230 citations) and Cancer Research (124 citations). Ekaterina Legchenko has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Georg Hansmann, Philippe Chouvarine, Danny Jonigk, Paul Borchert, Laurent Calvier, Miklós Mózes, Nadine Hoffmann, Martin Meier, Eva A. Rog‐Zielinska and Erin Snay. Their work appears in journals such as Nature Communications, Cell Metabolism and International Journal of Molecular Sciences.
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.