Marie Navrátilová
- Molecular Biology
- Genetics
- Pulmonary and Respiratory Medicine
- Cancer Research
- Pathology and Forensic Medicine top 10%
- Co-authors
- Lenka ForetováEva MacháčkováVladimír JanoutДавид ЗаридзеPaul BrennanDana MateșVladimír BenckoPaolo Boffetta
- Topics
- BRCA gene mutations in cancer (11 papers)DNA Repair Mechanisms (5 papers)Nutrition, Genetics, and Disease (5 papers)
In The Last Decade
Marie Navrátilová
40 papers receiving 771 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 306
- Genetics 171
- Pulmonary and Respiratory Medicine 150
- Cancer Research 142
- Pathology and Forensic Medicine 124
Countries citing papers authored by Marie Navrátilová
This map shows the geographic impact of Marie Navrátilová'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 Marie Navrátilová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Navrátilová more than expected).
Fields of papers citing papers by Marie Navrátilová
This network shows the impact of papers produced by Marie Navrátilová. 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 Marie Navrátilová. The network helps show where Marie Navrátilová may publish in the future.
Co-authorship network of co-authors of Marie Navrátilová
This figure shows the co-authorship network connecting the top 25 collaborators of Marie Navrátilová. A scholar is included among the top collaborators of Marie Navrátilová 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 Marie Navrátilová. Marie Navrátilová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 25 | |
| 3 | 7 | |
| 4 | 13 | |
| 5 | [Vacuum-assisted vaginal delivery does not significantly contribute to the higher incidence of levator ani avulsion]. | 2 |
| 6 | 12 | |
| 7 | 9 | |
| 8 | 40 | |
| 9 | 15 | |
| 10 | 52 | |
| 11 | 85 | |
| 12 | 27 | |
| 13 | 20 | |
| 14 | 23 | |
| 15 | 63 | |
| 16 | 45 | |
| 17 | PML and TRF2 protein expression in hereditary and sporadic colon cancer. | 3 |
| 18 | 4 | |
| 19 | 60 | |
| 20 | Immunohistochemical detection of the hMLH1 and hMSH2 proteins in hereditary non-polyposis colon cancer and sporadic colon cancer. | 17 |
About Marie Navrátilová
Marie Navrátilová is a scholar working on Genetics, Health, Toxicology and Mutagenesis and Rheumatology, having authored 40 papers that have together received 809 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (11 papers), DNA Repair Mechanisms (5 papers) and Nutrition, Genetics, and Disease (5 papers). The work is most often cited by research in Cancer Research (142 citations), Health, Toxicology and Mutagenesis (114 citations) and Pathology and Forensic Medicine (124 citations). Marie Navrátilová has collaborated with scholars based in Czechia, Poland and France. Frequent co-authors include Lenka Foretová, Eva Macháčková, Vladimír Janout, Давид Заридзе, Paul Brennan, Dana Mateș, Vladimír Bencko, Paolo Boffetta, Lee E. Moore and Neonila Szeszenia‐Dąbrowska. Their work appears in journals such as PLoS ONE, Cancer Research and British Journal of Cancer.
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.