H. Kopecká
- Cardiology and Cardiovascular Medicine top 5%
- Infectious Diseases top 2%
- Molecular Biology
- Epidemiology top 10%
- Animal Science and Zoology top 5%
- Co-authors
- Willem J. G. MelchersG JambroesJan ZollJ M GalamaJean-Claude PrévôtJ MaréchalS. DubrouJ. M. López-Pila
- Topics
- Viral Infections and Immunology Research (25 papers)Viral gastroenteritis research and epidemiology (18 papers)RNA and protein synthesis mechanisms (12 papers)
- Partner nations
- FranceCzechiaUnited States
In The Last Decade
H. Kopecká
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Cardiology and Cardiovascular Medicine 703
- Infectious Diseases 634
- Molecular Biology 340
- Epidemiology 250
- Animal Science and Zoology 159
Countries citing papers authored by H. Kopecká
This map shows the geographic impact of H. Kopecká'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 H. Kopecká with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Kopecká more than expected).
Fields of papers citing papers by H. Kopecká
This network shows the impact of papers produced by H. Kopecká. 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 H. Kopecká. The network helps show where H. Kopecká may publish in the future.
Co-authorship network of co-authors of H. Kopecká
This figure shows the co-authorship network connecting the top 25 collaborators of H. Kopecká. A scholar is included among the top collaborators of H. Kopecká 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 H. Kopecká. H. Kopecká is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | persistent infections. application for diagnostic routine and reaction for detection of enteroviruses: General primer-mediated polymerase chain | 4 |
| 2 | Apport de la biologie moléculairepour détecter les virus entériques humainsdans les coquillages | 2 |
| 3 | 54 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 58 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 8 | |
| 10 | 39 | |
| 11 | 39 | |
| 12 | 10 | |
| 13 | 29 | |
| 14 | 37 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 23 | |
| 18 | 87 | |
| 19 | 1 | |
| 20 | 1 |
About H. Kopecká
H. Kopecká is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases and Hepatology, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (25 papers), Viral gastroenteritis research and epidemiology (18 papers) and RNA and protein synthesis mechanisms (12 papers). The work is most often cited by research in Infectious Diseases (634 citations), Cardiology and Cardiovascular Medicine (703 citations) and Animal Science and Zoology (159 citations). H. Kopecká has collaborated with scholars based in France, Czechia and United States. Frequent co-authors include Willem J. G. Melchers, G Jambroes, Jan Zoll, J M Galama, Jean-Claude Prévôt, J Maréchal, S. Dubrou, J. M. López-Pila, Giorgio Bernardi and Ariel Prunell. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.