Natalia Danilovich
- Reproductive Medicine top 2%
- Genetics top 5%
- Public Health, Environmental and Occupational Health top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Co-authors
- M.R. SairamHanumanthappa KrishnamurthyWeirong XingCarlos R. MoralesJohn J. KopchickAndrzej BartkeIndrojit RoyP. Suresh Babu
- Topics
- Estrogen and related hormone effects (15 papers)Reproductive Biology and Fertility (10 papers)Ovarian function and disorders (7 papers)
- Partner nations
- CanadaUnited StatesSouth Africa
In The Last Decade
Natalia Danilovich
22 papers receiving 969 citations
Peers
Comparison fields: 5 of 68
- Reproductive Medicine 433
- Genetics 386
- Public Health, Environmental and Occupational Health 379
- Endocrinology, Diabetes and Metabolism 285
- Molecular Biology 244
Countries citing papers authored by Natalia Danilovich
This map shows the geographic impact of Natalia Danilovich'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 Natalia Danilovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Danilovich more than expected).
Fields of papers citing papers by Natalia Danilovich
This network shows the impact of papers produced by Natalia Danilovich. 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 Natalia Danilovich. The network helps show where Natalia Danilovich may publish in the future.
Co-authorship network of co-authors of Natalia Danilovich
This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Danilovich. A scholar is included among the top collaborators of Natalia Danilovich 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 Natalia Danilovich. Natalia Danilovich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 38 | |
| 3 | 9 | |
| 4 | 16 | |
| 5 | 12 | |
| 6 | 15 | |
| 7 | 39 | |
| 8 | 33 | |
| 9 | 31 | |
| 10 | 27 | |
| 11 | 15 | |
| 12 | The FORKO mouse as a genetic model for exploring estrogen replacement therapy. | 11 |
| 13 | 34 | |
| 14 | 18 | |
| 15 | 63 | |
| 16 | 148 | |
| 17 | 41 | |
| 18 | 48 | |
| 19 | 169 | |
| 20 | 66 |
About Natalia Danilovich
Natalia Danilovich is a scholar working on Reproductive Medicine, Genetics and Behavioral Neuroscience, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (15 papers), Reproductive Biology and Fertility (10 papers) and Ovarian function and disorders (7 papers). The work is most often cited by research in Reproductive Medicine (433 citations), Endocrinology, Diabetes and Metabolism (285 citations) and Genetics (386 citations). Natalia Danilovich has collaborated with scholars based in Canada, United States and South Africa. Frequent co-authors include M.R. Sairam, Hanumanthappa Krishnamurthy, Weirong Xing, Carlos R. Morales, John J. Kopchick, Andrzej Bartke, Indrojit Roy, P. Suresh Babu, Karen T. Coschigano and Todd A. Winters. Their work appears in journals such as Endocrinology, Neuroscience and Experimental Neurology.
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.