Lenka Elblová
- Co-authors
- Jan LeblPetra DušátkováZdenĕk Šumnı́kLukáš PlachýD ZemkováStanislava KolouškováMarta ŠnajderováBarbora Obermannová
- Topics
- Growth Hormone and Insulin-like Growth Factors (7 papers)Pancreatic function and diabetes (5 papers)Diabetes and associated disorders (4 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismDiabetes Research and Clinical PracticeAnnals of Human Genetics
- Partner nations
- CzechiaUnited KingdomGreece
In The Last Decade
Lenka Elblová
19 papers receiving 177 citations
Peers
Comparison fields: 5 of 27
- Endocrinology, Diabetes and Metabolism 104
- Genetics 104
- Molecular Biology 76
- Surgery 34
- Immunology 27
Countries citing papers authored by Lenka Elblová
This map shows the geographic impact of Lenka Elblová'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 Lenka Elblová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lenka Elblová more than expected).
Fields of papers citing papers by Lenka Elblová
This network shows the impact of papers produced by Lenka Elblová. 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 Lenka Elblová. The network helps show where Lenka Elblová may publish in the future.
Co-authorship network of co-authors of Lenka Elblová
This figure shows the co-authorship network connecting the top 25 collaborators of Lenka Elblová. A scholar is included among the top collaborators of Lenka Elblová 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 Lenka Elblová. Lenka Elblová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 21 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 30 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 49 | |
| 13 | [Overgrowth in children and in adults: novel clinical view, novel genes, novel phenotypes]. | 1 |
| 14 | 1 | |
| 15 | Significant Prevalence of Severe Monogenic Immune Defects Among Children with Type 1 Diabetes and Low T1D-Genetic Risk Score | 1 |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | 25 |
About Lenka Elblová
Lenka Elblová is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Gastroenterology, having authored 20 papers that have together received 179 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Pancreatic function and diabetes (5 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (104 citations), Genetics (104 citations) and Pathology and Forensic Medicine (26 citations). Lenka Elblová has collaborated with scholars based in Czechia, United Kingdom and Greece. Frequent co-authors include Jan Lebl, Petra Dušátková, Zdenĕk Šumnı́k, Lukáš Plachý, D Zemková, Stanislava Koloušková, Marta Šnajderová, Barbora Obermannová, Štěpánka Průhová and Štěpánka Průhová. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Research and Clinical Practice and Annals of Human Genetics.
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.