M. Woźna
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Ovarian function and disorders
- Equine top 10%
Papers in
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- Sperm and Testicular Function 15
- Ovarian function and disorders 3
-
- Reproductive Biology and Fertility 15
- Co-authors
- J. M. Jaśkowski (26 shared papers)Dorota Bukowska (25 shared papers)Paweł Antosik (24 shared papers)H. Piotrowska (21 shared papers)M. Jackowska (17 shared papers)Bartosz Kempisty (15 shared papers)K.‐P. Brüssow (13 shared papers)Agnieszka Fiszer (3 shared papers)
In The Last Decade
M. Woźna
37 papers receiving 345 citations
Peers
Comparison fields: 5 of 58
- Reproductive Medicine 120
- Equine 16
- Agronomy and Crop Science 96
- Small Animals 64
- Public Health, Environmental and Occupational Health 170
Countries citing papers authored by M. Woźna
This map shows the geographic impact of M. Woźna'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 M. Woźna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Woźna more than expected).
Fields of papers citing papers by M. Woźna
This network shows the impact of papers produced by M. Woźna. 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 M. Woźna. The network helps show where M. Woźna may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Woźna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 30 | |
| 2 | 2013 | 27 | |
| 3 | 2011 | 25 | |
| 4 | 2012 | 24 | |
| 5 | 2021 | 24 | |
| 6 | 2020 | 22 | |
| 7 | 2021 | 19 | |
| 8 | 2010 | 17 | |
| 9 | Microarray analysis of inflammatory response-related gene expression in the uteri of dogs with pyometra. | 2014 | 16 |
| 10 | 2011 | 15 | |
| 11 | 2013 | 15 | |
| 12 | Microarray analysis of inflammatory response-related gene expression in the uteri of dogs with pyometra. | 2015 | 13 |
| 13 | 2012 | 12 | |
| 14 | 2022 | 10 | |
| 15 | 2010 | 10 | |
| 16 | 2013 | 8 | |
| 17 | 2011 | 8 | |
| 18 | 2011 | 7 | |
| 19 | 2011 | 7 | |
| 20 | 2011 | 6 |
About M. Woźna
M. Woźna is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Agronomy and Crop Science and Immunology, having authored 37 papers that have together received 353 indexed citations. Recurring topics across this work include Sperm and Testicular Function (15 papers), Reproductive Biology and Fertility (15 papers), Reproductive Physiology in Livestock (9 papers), Reproductive System and Pregnancy (6 papers), Urological Disorders and Treatments (4 papers), Ovarian function and disorders (3 papers), Genetic Neurodegenerative Diseases (3 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Reproductive Medicine (120 citations), Equine (16 citations), Agronomy and Crop Science (96 citations), Small Animals (64 citations) and Public Health, Environmental and Occupational Health (170 citations). M. Woźna has collaborated with scholars based in Poland, Germany and Czechia. Frequent co-authors include J. M. Jaśkowski, Dorota Bukowska, Paweł Antosik, H. Piotrowska, M. Jackowska, Bartosz Kempisty, K.‐P. Brüssow, Agnieszka Fiszer, Michał Nowicki and Sylwia Ciesiółka. Their work appears in journals such as Animals, Theriogenology, The FASEB Journal, BMC Veterinary Research and Animal Reproduction Science.
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.