Ágota Vér

22 papers receiving 554 citations

Peers

Ágota Vér
Comparison fields: 5 of 81
  • Obstetrics and Gynecology 75
  • Nephrology 63
  • Endocrine and Autonomic Systems 27
  • Endocrinology, Diabetes and Metabolism 65
  • Physiology 77
Replace Gail P. Brown with:
Gail P. Brown United States
Nancy Amaral Rebouças Brazil
Olga V. Fedorova United States
Peter F. Mento United States
A. Gairard France
Örjan W. Peterson United States
Karina Thieme Brazil
Natalia Makhanova United States
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Dijle Kipmen‐Korgun Türkiye
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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 200761
2 200357
3 200657
4 201247
5 201645
6 198439
7 200837
8 199531
9 200628
10 200827
11 200419
12 201219
13 200518
14 201118
15 200916
16 199712
17
Insulin treatment decreases the antioxidant defense mechanism in experimental diabetes.
200512
18 200911
19 20068
20 20015

About Ágota Vér

Ágota Vér is a scholar working on Endocrine and Autonomic Systems, Nephrology, Cellular and Molecular Neuroscience, Molecular Biology and Physiology, having authored 22 papers that have together received 569 indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (8 papers), Regulation of Appetite and Obesity (3 papers), Renal function and acid-base balance (2 papers), Pancreatic function and diabetes (2 papers), Adipose Tissue and Metabolism (2 papers), Neuropeptides and Animal Physiology (2 papers), Biochemical Analysis and Sensing Techniques (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Obstetrics and Gynecology (75 citations), Nephrology (63 citations), Endocrine and Autonomic Systems (27 citations), Endocrinology, Diabetes and Metabolism (65 citations) and Physiology (77 citations). Ágota Vér has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Andrea Fekete, Klára Rosta, Attila Jozsef Szabo, Tivadar Tulassay, Ádám Vannay, György Reusz, Attila Molvarec, Veronika Müller, János Jr. Rigó and Mária Sasvári‐Székely. Their work appears in journals such as The Journal of Physiology, American Journal of Physiology-Renal Physiology, European Journal of Obstetrics & Gynecology and Reproductive Biology, Neonatology and Clinical Chemistry.

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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