Vladimı́r Pucovský

21 papers receiving 765 citations

Peers

Vladimı́r Pucovský
Comparison fields: 5 of 84
  • Sensory Systems 150
  • Cardiology and Cardiovascular Medicine 275
  • Gastroenterology 62
  • Cellular and Molecular Neuroscience 201
  • Molecular Biology 502
Replace Maksym I. Harhun with:
Maksym I. Harhun United Kingdom
Yijun Ou United States
Anna García-Elías Spain
María Sancho Spain
Zachary P. Neeb United States
Carolina R.S. Elzinga Netherlands
Harry A. T. Pritchard United States
Shona M. McFarlane United Kingdom
Suzanne E. Brett Canada
Hongwei Cheng United Kingdom
Vladimı́r Pucovský relative to Maksym I. Harhun United Kingdom Maksym I. Harhun's profile →
Citations per field
00.5×1.7×
Maksym I. Harhun · 1×
Citations per year

Countries citing papers authored by Vladimı́r Pucovský

Since Specialization
Citations

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

Fields of papers citing papers by Vladimı́r Pucovský

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007156
2 200680
3 200565
4 200561
5 200850
6 200341
7 200440
8 200739
9 200233
10 200629
11 200527
12 200725
13 199823
14 199923
15 200723
16 200218
17 200216
18 201012
19 20066
20 20005

About Vladimı́r Pucovský

Vladimı́r Pucovský is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Sensory Systems and Physiology, having authored 21 papers that have together received 776 indexed citations. Recurring topics across this work include Ion channel regulation and function (13 papers), Cardiac electrophysiology and arrhythmias (10 papers), Neuroscience and Neuropharmacology Research (5 papers), Ion Channels and Receptors (4 papers), Neuroscience and Neural Engineering (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Asthma and respiratory diseases (2 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Sensory Systems (150 citations), Cardiology and Cardiovascular Medicine (275 citations), Gastroenterology (62 citations), Cellular and Molecular Neuroscience (201 citations) and Molecular Biology (502 citations). Vladimı́r Pucovský has collaborated with scholars based in United Kingdom, Slovakia and Ukraine. Frequent co-authors include T. B. Bolton, Dmitri Gordienko, Shuk Yin M. Yeung, Iain A. Greenwood, Maksym I. Harhun, Michael Schwake, S. A. Prestwich, Oleksandr V. Povstyan, Susumu Ohya and James D. Moffatt. Their work appears in journals such as Cell Calcium, British Journal of Pharmacology, The Journal of Physiology, Journal of Cellular and Molecular Medicine and Life Sciences.

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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