Eszter Berta

435 citations
35 papers · 312 · h-index 10

Impact in

Papers in

Eszter Berta

31 papers receiving 302 citations

Peers

Eszter Berta
Comparison fields: 5 of 63
  • Endocrinology, Diabetes and Metabolism 144
  • Pathology and Forensic Medicine 45
  • Otorhinolaryngology 8
  • Surgery 58
  • Ophthalmology 11
Replace Miklós Bodor with:
Miklós Bodor Hungary
Kyoil Suh South Korea
Şafak Akın Türkiye
Kazuhiko Matsuzawa Japan
Toshinaga Yonemoto Japan
Xiaodan Zhang China
Miki Takagi Japan
Yanjun Wang China
Eszter Berta relative to Miklós Bodor Hungary Miklós Bodor's profile →
Citations per field
00.5×1.5×
Miklós Bodor · 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201998
2 201422
3 201617
4 202216
5 201314
6 201412
7 201012
8 201411
9 202211
10 201311
11 202310
12 202010
13 20129
14 20249
15 20236
16 20246
17 20246
18 20246
19 20256
20
The c.-133A > G polymorphism in NPC1L1 gene influences the efficacy of ezetimibe monotherapy on apolipoprotein A1 in hyperlipidemic patients.
20143

About Eszter Berta

Eszter Berta is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Cancer Research, Clinical Biochemistry and Physiology, having authored 35 papers that have together received 312 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (10 papers), Ophthalmology and Eye Disorders (7 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Fibroblast Growth Factor Research (2 papers), Advanced Glycation End Products research (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (144 citations), Pathology and Forensic Medicine (45 citations), Otorhinolaryngology (8 citations), Surgery (58 citations) and Ophthalmology (11 citations). Eszter Berta has collaborated with scholars based in Hungary, Serbia and France. Frequent co-authors include Miklós Bodor, Endre Vezekenyi Nagy, Annamária Erdei, Mariann Harangi, Dénes Páll, Miklós Zrı́nyi, György Paragh, I. Atallah, C.-A. Righini and Bernadett Ujhelyi. Their work appears in journals such as Frontiers in Endocrinology, Atherosclerosis, Clinical Endocrinology, European Annals of Otorhinolaryngology Head and Neck Diseases and Thyroid.

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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