Juraj Kavecansky

1.3k total citations
28 papers, 417 citations indexed

About

Juraj Kavecansky is a scholar working on Molecular Biology, Oncology and Neurology. According to data from OpenAlex, Juraj Kavecansky has authored 28 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Oncology and 5 papers in Neurology. Recurrent topics in Juraj Kavecansky's work include Lipid Membrane Structure and Behavior (7 papers), Ovarian cancer diagnosis and treatment (5 papers) and COVID-19 Clinical Research Studies (4 papers). Juraj Kavecansky is often cited by papers focused on Lipid Membrane Structure and Behavior (7 papers), Ovarian cancer diagnosis and treatment (5 papers) and COVID-19 Clinical Research Studies (4 papers). Juraj Kavecansky collaborates with scholars based in United States, Slovakia and Canada. Juraj Kavecansky's co-authors include Clinton H. Joiner, Judith K. Woodford, W. Gibson Wood, David Zakim, Suzanne Scarlata, Friedhelm Schroeder, Joanna Groden, Saumitri Bhattacharyya, Ivan Hapala and T J Scallen and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Juraj Kavecansky

23 papers receiving 402 citations

Peers

Juraj Kavecansky
Comparison fields: 5 of 82
  • Molecular Biology 272
  • Surgery 80
  • Oncology 67
  • Physiology 49
  • Cell Biology 48
Replace John Doran with:
John Doran United States
Nena Mirković United States
Monique van Scherpenzeel Netherlands
D.J. Wood United States
Thomas J. McCorvie United Kingdom
Sandro Boland Belgium
E. A. Kvittingen Norway
Lisa J. Neilson United Kingdom
Pankaj Sharma United States
Hideo Kochi Japan
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Citations per field, relative to Juraj Kavecansky
Juraj Kavecansky · 1×
Citations per year, relative to Juraj Kavecansky
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Countries citing papers authored by Juraj Kavecansky

Since Specialization
Citations

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

Fields of papers citing papers by Juraj Kavecansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juraj Kavecansky

This figure shows the co-authorship network connecting the top 25 collaborators of Juraj Kavecansky. A scholar is included among the top collaborators of Juraj Kavecansky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juraj Kavecansky. Juraj Kavecansky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 13
5 14
6 3
7 11
8 2
9
Beyond Checkpoint Inhibitors: The Next Generation of Immunotherapy in Oncology
6
10 24
11 21
12 45
13 113
14 17
15 20
16 29
17 4
18 48
19
Study of physical mechanisms of insulin reception.
0
20
Effect of insulin on lipid bilayer viscoelasticity.
6

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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