Magdolna Kovács
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Oncology top 10%
- Reproductive Medicine top 2%
- Genetics top 10%
- Co-authors
- Andrew V. SchallyAttila NagyKate GrootGyörgy B. HalmosMárta ZarándiMiklós KoppánGábor HalmosJózsef Varga
- Topics
- Growth Hormone and Insulin-like Growth Factors (31 papers)Hypothalamic control of reproductive hormones (14 papers)Pituitary Gland Disorders and Treatments (10 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBiochemical and Biophysical Research Communications
- Partner nations
- HungaryUnited StatesIndia
In The Last Decade
Magdolna Kovács
52 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 90
- Endocrinology, Diabetes and Metabolism 565
- Molecular Biology 526
- Oncology 350
- Reproductive Medicine 343
- Genetics 278
Countries citing papers authored by Magdolna Kovács
This map shows the geographic impact of Magdolna Kovács'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 Magdolna Kovács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magdolna Kovács more than expected).
Fields of papers citing papers by Magdolna Kovács
This network shows the impact of papers produced by Magdolna Kovács. 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 Magdolna Kovács. The network helps show where Magdolna Kovács may publish in the future.
Co-authorship network of co-authors of Magdolna Kovács
This figure shows the co-authorship network connecting the top 25 collaborators of Magdolna Kovács. A scholar is included among the top collaborators of Magdolna Kovács 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 Magdolna Kovács. Magdolna Kovács 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 | 52 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 22 | |
| 6 | 19 | |
| 7 | 22 | |
| 8 | Thermomyces lanuginosus CBS 395.62/b Strain as Rich Source of α-Galactosidase Enzyme | 9 |
| 9 | 7 | |
| 10 | 216 | |
| 11 | 30 | |
| 12 | 39 | |
| 13 | 21 | |
| 14 | 10 | |
| 15 | 10 | |
| 16 | 5 | |
| 17 | 11 | |
| 18 | 3 | |
| 19 | 10 | |
| 20 | Synthesis and biological activity of novel hydrophobic d amino acid 6 analogues of the gonadotropin releasing hormone | 2 |
About Magdolna Kovács
Magdolna Kovács is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (31 papers), Hypothalamic control of reproductive hormones (14 papers) and Pituitary Gland Disorders and Treatments (10 papers). The work is most often cited by research in Reproductive Medicine (343 citations), Endocrinology, Diabetes and Metabolism (565 citations) and Oncology (350 citations). Magdolna Kovács has collaborated with scholars based in Hungary, United States and India. Frequent co-authors include Andrew V. Schally, Attila Nagy, Kate Groot, György B. Halmos, Márta Zarándi, Miklós Koppán, Gábor Halmos, József Varga, Károly Szepesházi and Patricia Armatis. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research Communications.
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.