Ágota Vér

22 papers receiving 531 citations

Peers

Ágota Vér
Comparison fields: 5 of 81
  • Obstetrics and Gynecology 97
  • Nephrology 77
  • Endocrinology, Diabetes and Metabolism 83
  • Endocrine and Autonomic Systems 33
  • Pediatrics, Perinatology and Child Health 89
Replace Ann‐Christine Eklöf with:
Ann‐Christine Eklöf Sweden
Delyth Graham United Kingdom
Yanting Chen China
Nancy Amaral Rebouças Brazil
P. F. Mento United States
Jana Bělobrádková Czechia
Marie Buléon France
Concha F. García‐Prieto Spain
A. Buongiorno Italy
Nobuyuki Banba Japan
Ágota Vér relative to Ann‐Christine Eklöf Sweden Ann‐Christine Eklöf's profile →
Citations per field
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Ann‐Christine Eklöf · 1×
Citations per year

Countries citing papers authored by Ágota Vér

Since Specialization
Citations

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

Fields of papers citing papers by Ágota Vér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ágota Vér, 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 Ágota Vér Line = papers co-authored together Ágota Vér links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200760
2 200358
3 200654
4 201246
5 201638
6 198438
7 200835
8 199530
9 200627
10 200825
11 200419
12 201219
13 201118
14 200516
15 200916
16
Insulin treatment decreases the antioxidant defense mechanism in experimental diabetes.
200512
17 199711
18 200911
19 20068
20 20015

About Ágota Vér

Ágota Vér is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Surgery and Nephrology, having authored 22 papers that have together received 548 indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (8 papers), Pancreatic function and diabetes (4 papers), Neuropeptides and Animal Physiology (3 papers), Adipose Tissue and Metabolism (3 papers), Regulation of Appetite and Obesity (3 papers), Birth, Development, and Health (2 papers), Pregnancy and preeclampsia studies (2 papers) and Renal function and acid-base balance (2 papers). The work is most often cited by research in Obstetrics and Gynecology (97 citations), Nephrology (77 citations), Endocrinology, Diabetes and Metabolism (83 citations), Endocrine and Autonomic Systems (33 citations) and Pediatrics, Perinatology and Child Health (89 citations). Ágota Vér has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Andrea Fekete, Klára Rosta, Attila J. Szabó, Tivadar Tulassay, Ádám Vannay, György Reusz, Attila Molvarec, Veronika Müller, Barna Vásárhelyi and J.C. Seidel. Their work appears in journals such as American Journal of Physiology-Renal Physiology, European Journal of Obstetrics & Gynecology and Reproductive Biology, The Journal of Physiology, Surgery and Journal of the Peripheral Nervous System.

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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