Małgorzata Waśniewska
- Endocrinology, Diabetes and Metabolism top 0.5%
- Genetics top 2%
- Molecular Biology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Surgery top 10%
- Co-authors
- Tommaso AversaFilippo De LucaMariella ValenziseMariacarolina SalernoAndrea CorriasFortunato LombardoDomenico CoricaTeresa Arrigo
- Topics
- Thyroid Disorders and Treatments (46 papers)Growth Hormone and Insulin-like Growth Factors (43 papers)Sexual Differentiation and Disorders (29 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismInternational Journal of Molecular Sciences
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Małgorzata Waśniewska
191 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 116
- Endocrinology, Diabetes and Metabolism 1.8k
- Genetics 965
- Molecular Biology 839
- Public Health, Environmental and Occupational Health 444
- Surgery 390
Countries citing papers authored by Małgorzata Waśniewska
This map shows the geographic impact of Małgorzata Waśniewska'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 Małgorzata Waśniewska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Małgorzata Waśniewska more than expected).
Fields of papers citing papers by Małgorzata Waśniewska
This network shows the impact of papers produced by Małgorzata Waśniewska. 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 Małgorzata Waśniewska. The network helps show where Małgorzata Waśniewska may publish in the future.
Co-authorship network of co-authors of Małgorzata Waśniewska
This figure shows the co-authorship network connecting the top 25 collaborators of Małgorzata Waśniewska. A scholar is included among the top collaborators of Małgorzata Waśniewska 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 Małgorzata Waśniewska. Małgorzata Waśniewska 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 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 17 | |
| 17 | 6 | |
| 18 | 13 | |
| 19 | 5 | |
| 20 | 23 |
About Małgorzata Waśniewska
Małgorzata Waśniewska is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Genetics, having authored 204 papers that have together received 3.5k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (46 papers), Growth Hormone and Insulin-like Growth Factors (43 papers) and Sexual Differentiation and Disorders (29 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Reproductive Medicine (375 citations) and Genetics (965 citations). Małgorzata Waśniewska has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Tommaso Aversa, Filippo De Luca, Mariella Valenzise, Mariacarolina Salerno, Andrea Corrias, Fortunato Lombardo, Domenico Corica, Teresa Arrigo, F. De Luca and Alessandro Mussa. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & 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.