Iva Stoeva
- Genetics top 10%
- Hematology top 10%
- Endocrinology, Diabetes and Metabolism
- Pediatrics, Perinatology and Child Health
- Molecular Biology
- Co-authors
- Nicos SkordisMichael AngastiniotisAshraf SolimanVincenzo De SanctisBernadette FiscinaMehran KarimiGiuseppe RaiolaMohamed El Kholy
- Topics
- Pituitary Gland Disorders and Treatments (3 papers)Growth Hormone and Insulin-like Growth Factors (3 papers)Thyroid Disorders and Treatments (3 papers)
In The Last Decade
Iva Stoeva
11 papers receiving 215 citations
Peers
Comparison fields: 5 of 56
- Genetics 112
- Hematology 92
- Endocrinology, Diabetes and Metabolism 74
- Pediatrics, Perinatology and Child Health 48
- Molecular Biology 42
Countries citing papers authored by Iva Stoeva
This map shows the geographic impact of Iva Stoeva'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 Iva Stoeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iva Stoeva more than expected).
Fields of papers citing papers by Iva Stoeva
This network shows the impact of papers produced by Iva Stoeva. 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 Iva Stoeva. The network helps show where Iva Stoeva may publish in the future.
Co-authorship network of co-authors of Iva Stoeva
This figure shows the co-authorship network connecting the top 25 collaborators of Iva Stoeva. A scholar is included among the top collaborators of Iva Stoeva 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 Iva Stoeva. Iva Stoeva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 120 | |
| 4 | International network on endocrine complications in thalassaemia (I-CET): an opportunity to grow. | 6 |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 37 | |
| 8 | 1 | |
| 9 | Aldosterone response to metoclopramide in patients with prolactinoma: effect of short-term bromocriptine treatment. | 1 |
| 10 | 12 | |
| 11 | 6 | |
| 12 | Effect of verapamil on renin-angiotensin-aldosterone system, urinary 6-keto prostaglandin F1 alpha and aldosterone response to metoclopramide in normal man. | 2 |
| 13 | [The regulation of prolactin secretion]. | 42 |
About Iva Stoeva
Iva Stoeva is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Sensory Systems, having authored 13 papers that have together received 229 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Thyroid Disorders and Treatments (3 papers). The work is most often cited by research in Genetics (112 citations), Hematology (92 citations) and Endocrinology, Diabetes and Metabolism (74 citations). Iva Stoeva has collaborated with scholars based in Bulgaria, Germany and Greece. Frequent co-authors include Nicos Skordis, Michael Angastiniotis, Ashraf Soliman, Vincenzo De Sanctis, Bernadette Fiscina, Mehran Karimi, Giuseppe Raiola, Mohamed El Kholy, Ahmed El Awwa and Christos Kattamis. Their work appears in journals such as European Journal of Endocrinology, Early Human Development and Hormone and Metabolic Research.
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.