Július Benický

2.3k citations
50 papers · 1.9k · h-index 23

Impact in

Papers in

Július Benický

48 papers receiving 1.9k citations

Peers

Július Benický
Comparison fields: 5 of 104
  • Behavioral Neuroscience 240
  • Biological Psychiatry 150
  • Neurology 244
  • Cardiology and Cardiovascular Medicine 613
  • Endocrinology, Diabetes and Metabolism 266
Replace Enrique Sánchez-Lemus with:
Enrique Sánchez-Lemus United States
Gábor Szénási Hungary
Zbigniew S. Herman Poland
Kana Tsukuda Japan
Rita Valenzuela Spain
Richard Telljohann United States
Masakazu Ibi Japan
Ram V. Sharma United States
Chun‐Hsien Chu Taiwan
Е. Б. Манухина Russia
Július Benický relative to Enrique Sánchez-Lemus United States Enrique Sánchez-Lemus's profile →
Citations per field
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Enrique Sánchez-Lemus · 1×
Citations per year

Countries citing papers authored by Július Benický

Since Specialization
Citations

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

Fields of papers citing papers by Július Benický

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010215
2 2010209
3 2007138
4 2006119
5 2009105
6 201289
7 201385
8 201285
9 200675
10 201270
11 200859
12 201159
13 202048
14 201442
15 200842
16 200940
17 199840
18 200639
19 200938
20 201433

About Július Benický

Július Benický is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (13 papers), Renin-Angiotensin System Studies (11 papers), Pancreatic function and diabetes (10 papers), Receptor Mechanisms and Signaling (7 papers), Proteoglycans and glycosaminoglycans research (7 papers), Stress Responses and Cortisol (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Behavioral Neuroscience (240 citations), Biological Psychiatry (150 citations), Neurology (244 citations), Cardiology and Cardiovascular Medicine (613 citations) and Endocrinology, Diabetes and Metabolism (266 citations). Július Benický has collaborated with scholars based in United States, Czechia and Slovakia. Frequent co-authors include Juan M. Saavedra, Enrique Sánchez-Lemus, Juan M. Saavedra, Tao Pang, Jaroslav Pavel, Jin Zhou, Radoslav Goldman, Miloslav Šanda, Juan Wang and V. Štrbák. Their work appears in journals such as Glycobiology, Cellular Physiology and Biochemistry, Journal of Hypertension, Journal of Proteome Research and Cellular and Molecular Neurobiology.

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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