Eva Feigerlová
Impact in
- Health Informatics top 10%
-
- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Clinical Reasoning and Diagnostic Skills 4
-
- Growth Hormone and Insulin-like Growth Factors 9
- Diabetes Management and Research 5
- Diabetes Management and Education 3
- Co-authors
- Shyue-Fang Battaglia-HsuM. TauberGwénaëlle DieneCatherine MolinasEmmanuelle MimounH. GrandjeanJean‐Louis GuéantIsabelle Gennero
- Journals
- Hormone Research in Paediatrics (4 papers)The Journal of Clinical Endocrinology & Metabolism (3 papers)Diabetes & Metabolism (2 papers)The FASEB Journal (2 papers)BMC Medical Education (2 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Eva Feigerlová
54 papers receiving 936 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Health Informatics 22
- Endocrinology, Diabetes and Metabolism 224
- Genetics 316
- Nephrology 73
- Pediatrics, Perinatology and Child Health 175
Countries citing papers authored by Eva Feigerlová
This map shows the geographic impact of Eva Feigerlová'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 Eva Feigerlová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Feigerlová more than expected).
Fields of papers citing papers by Eva Feigerlová
This network shows the impact of papers produced by Eva Feigerlová. 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 Eva Feigerlová. The network helps show where Eva Feigerlová may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eva Feigerlová, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 20 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 15 | |
| 9 | 2017 | 23 | |
| 10 | 2017 | 91 | |
| 11 | 2016 | 6 | |
| 12 | 2016 | 22 | |
| 13 | 2016 | 4 | |
| 14 | 2016 | 18 | |
| 15 | 2013 | 60 | |
| 16 | 2010 | 125 | |
| 17 | 2010 | 29 | |
| 18 | 2007 | 0 | |
| 19 | 2007 | 2 | |
| 20 | 2006 | 45 |
About Eva Feigerlová
Eva Feigerlová is a scholar working on Family Practice, Endocrinology, Diabetes and Metabolism, Health Informatics, Genetics and Pediatrics, Perinatology and Child Health, having authored 57 papers that have together received 956 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (9 papers), Innovations in Medical Education (8 papers), Diabetes Management and Research (5 papers), Genetic Syndromes and Imprinting (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Clinical Reasoning and Diagnostic Skills (4 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Diabetes Management and Education (3 papers). The work is most often cited by research in Health Informatics (22 citations), Endocrinology, Diabetes and Metabolism (224 citations), Genetics (316 citations), Nephrology (73 citations) and Pediatrics, Perinatology and Child Health (175 citations). Eva Feigerlová has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Shyue-Fang Battaglia-Hsu, M. Tauber, Gwénaëlle Diene, Catherine Molinas, Emmanuelle Mimoun, H. Grandjean, Jean‐Louis Guéant, Isabelle Gennero, Jean‐Pierre Salles and Catherine Arnaud. Their work appears in journals such as Hormone Research in Paediatrics, The Journal of Clinical Endocrinology & Metabolism, Diabetes & Metabolism, The FASEB Journal and BMC Medical Education.
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.