Joanna Liss
- Reproductive Medicine top 1%
- Public Health, Environmental and Occupational Health top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Immunology
- Molecular Biology
- Co-authors
- Krzysztof ŁukaszukMichał KunickiEwa PastuszekMariusz ŁukaszukGrzegorz JakielIzabela Wocławek-PotockaJanusz EmerichIwona Malinowska
- Topics
- Reproductive Biology and Fertility (16 papers)Prenatal Screening and Diagnostics (15 papers)Ovarian function and disorders (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Clinical Microbiology
- Partner nations
- PolandUnited StatesUnited Kingdom
In The Last Decade
Joanna Liss
51 papers receiving 846 citations
Peers
Comparison fields: 5 of 81
- Reproductive Medicine 459
- Public Health, Environmental and Occupational Health 413
- Pediatrics, Perinatology and Child Health 309
- Immunology 152
- Molecular Biology 139
Countries citing papers authored by Joanna Liss
This map shows the geographic impact of Joanna Liss'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 Joanna Liss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna Liss more than expected).
Fields of papers citing papers by Joanna Liss
This network shows the impact of papers produced by Joanna Liss. 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 Joanna Liss. The network helps show where Joanna Liss may publish in the future.
Co-authorship network of co-authors of Joanna Liss
This figure shows the co-authorship network connecting the top 25 collaborators of Joanna Liss. A scholar is included among the top collaborators of Joanna Liss 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 Joanna Liss. Joanna Liss 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 | 18 | |
| 3 | 2 | |
| 4 | 19 | |
| 5 | 14 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 88 | |
| 11 | 39 | |
| 12 | Comparison of the second-generation Beckman Coulter IVD and first-generation AnshLabs ELISA assays for anti-Müllerian hormone in patients undergoing IVF treatment. | 4 |
| 13 | 43 | |
| 14 | 29 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 25 | |
| 18 | 20 | |
| 19 | [Heterotopic pregnancy after in vitro fertilization]. | 0 |
| 20 | 23 |
About Joanna Liss
Joanna Liss is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 53 papers that have together received 887 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (16 papers), Prenatal Screening and Diagnostics (15 papers) and Ovarian function and disorders (14 papers). The work is most often cited by research in Reproductive Medicine (459 citations), Pediatrics, Perinatology and Child Health (309 citations) and Obstetrics and Gynecology (116 citations). Joanna Liss has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Krzysztof Łukaszuk, Michał Kunicki, Ewa Pastuszek, Mariusz Łukaszuk, Grzegorz Jakiel, Izabela Wocławek-Potocka, Janusz Emerich, Iwona Malinowska, Scott M. Nelson and Sebastian Pukszta. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Microbiology.
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.