Radovan Vasko

45 papers receiving 5.9k citations

Radovan Vasko's Hit Papers

Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) 2016 · 4.7k citations
4.7k0+3+6Years since publication10002.0k3.0k4.0k

Peers

Radovan Vasko
Comparison fields: 5 of 147
  • Epidemiology 3.1k
  • Physiology 417
  • Geriatrics and Gerontology 263
  • Aging 87
  • Cell Biology 742
Replace Byung‐Hoon Lee with:
Byung‐Hoon Lee South Korea
Pu Duann United States
Anita C. Truttmann Switzerland
Lee Ann MacMillan-Crow United States
Michael T. Stang United States
Utpal Sen United States
Nirmala Parajuli United States
Tim Lahm United States
Guillermo Dı́az-Araya Chile
Radovan Vasko relative to Byung‐Hoon Lee South Korea Byung‐Hoon Lee's profile →
Citations per field
00.5×1.5×
Byung‐Hoon Lee · 1×
Citations per year

Countries citing papers authored by Radovan Vasko

Since Specialization
Citations

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

Fields of papers citing papers by Radovan Vasko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)
Hit paper breakdown →
20164660
2 2005140
3 2014137
4 2014123
5 2013107
6 201385
7 199868
8 201363
9 201655
10 201250
11 201448
12 201548
13 201642
14 200936
15 201635
16 201429
17 201723
18 201022
19 200921
20 201320

About Radovan Vasko

Radovan Vasko is a scholar working on Nephrology, Geriatrics and Gerontology, Immunology, Rheumatology and Clinical Biochemistry, having authored 45 papers that have together received 6.0k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (4 papers), Complement system in diseases (4 papers), Advanced Glycation End Products research (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Autophagy in Disease and Therapy (3 papers), Systemic Sclerosis and Related Diseases (3 papers), Oral microbiology and periodontitis research (3 papers) and Renal Transplantation Outcomes and Treatments (2 papers). The work is most often cited by research in Epidemiology (3.1k citations), Physiology (417 citations), Geriatrics and Gerontology (263 citations), Aging (87 citations) and Cell Biology (742 citations). Radovan Vasko has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Michael S. Goligorsky, Sandhya Xavier, Brian B. Ratliff, May M. Rabadi, Gerhard Anton Muller, Michael J. Koziolek, Julien Maizel, Frank M. Strutz, David P. Southall and Praveen N. Chander. Their work appears in journals such as PLoS ONE, Journal of the American Society of Nephrology, Kidney International, Autophagy and American Journal of Physiology-Renal Physiology.

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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