Eszter Berta

416 citations
28 papers · 245 · h-index 10

Impact in

Papers in

Eszter Berta

23 papers receiving 239 citations

Peers

Eszter Berta
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 116
  • Pathology and Forensic Medicine 53
  • Ophthalmology 18
  • Behavioral Neuroscience 6
  • Surgery 63
Replace Natalia Genere with:
Natalia Genere United States
Mozhgan Dorkhan Sweden
Urszula Ambroziak Poland
Annamária Erdei Hungary
Kazuhiko Matsuzawa Japan
Noriko Takebe Japan
Shulamit Lerner United States
Amita Dasmahapatra United States
Jin Hee Kim South Korea
Xiaodan Zhang China
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Citations per field
00.5×10×14×
Natalia Genere · 1×
Citations per year

Countries citing papers authored by Eszter Berta

Since Specialization
Citations

This map shows the geographic impact of Eszter Berta'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 Eszter Berta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eszter Berta more than expected).

Fields of papers citing papers by Eszter Berta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eszter Berta. 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 Eszter Berta. The network helps show where Eszter Berta may publish in the future.

Co-authors

The 25 scholars most cited alongside Eszter Berta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eszter Berta Line = papers co-authored together Eszter Berta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201992
2 201420
3 201616
4 201313
5 202212
6 201012
7 201311
8 201410
9 202210
10
Effect of thyroid hormone status and concomitant medication on statin induced adverse effects in hyperlipidemic patients.
20149
11 20209
12 20127
13 20236
14 20253
15
The c.-133A > G polymorphism in NPC1L1 gene influences the efficacy of ezetimibe monotherapy on apolipoprotein A1 in hyperlipidemic patients.
20143
16 20242
17 20212
18 20242
19 20162
20 20161

About Eszter Berta

Eszter Berta is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Neurology, Surgery and Physiology, having authored 28 papers that have together received 245 indexed citations. Recurring topics across this work include Ophthalmology and Eye Disorders (7 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Pituitary Gland Disorders and Treatments (4 papers), Thyroid Disorders and Treatments (3 papers), Glaucoma and retinal disorders (3 papers), Head and Neck Cancer Studies (3 papers), Kruppel-like factors research (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (116 citations), Pathology and Forensic Medicine (53 citations), Ophthalmology (18 citations), Behavioral Neuroscience (6 citations) and Surgery (63 citations). Eszter Berta has collaborated with scholars based in Hungary, France and Italy. Frequent co-authors include Miklós Bodor, Endre V. Nagy, Annamária Erdei, Mariann Harangi, Miklós Zrı́nyi, Dénes Páll, I. Atallah, György Paragh, Ferenc Győry and C.-A. Righini. Their work appears in journals such as Frontiers in Endocrinology, Atherosclerosis, European Annals of Otorhinolaryngology Head and Neck Diseases, Biomedicines and International Journal of Pediatric Otorhinolaryngology.

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.

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