Ivan Tancevski

7.4k citations
81 papers · 1.9k indexed · 1 hit paper · h-index 25
Topics
COVID-19 Clinical Research Studies (15 papers)Long-Term Effects of COVID-19 (12 papers)Lipoproteins and Cardiovascular Health (11 papers)
Journals
CirculationSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Ivan Tancevski

75 papers receiving 1.8k citations

Hit Papers

Arachidonic Acid Metabolites in Cardiovascular and Metabo...20182026202020232018100200300

Peers

Ivan Tancevski
Comparison fields: 5 of 128
  • Molecular Biology 434
  • Surgery 371
  • Endocrinology, Diabetes and Metabolism 324
  • Infectious Diseases 283
  • Neurology 281
Replace Can Li with:
Can Li China
Gediminas Cepinskas Canada
Heraldo Possolo de Souza Brazil
Debbie L. Shawcross United Kingdom
Lianghong Yin China
Douwe J. Mulder Netherlands
Paweł Wołkow Poland
Bertrand Dussol France
Vidula Vachharajani United States
Asako Doi Japan
Ivan Tancevski relative to Can Li China Can Li's profile →
Citations per field
00.5×3.1×
Can Li · 1×
Citations per year

Countries citing papers authored by Ivan Tancevski

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Tancevski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Tancevski

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Tancevski. A scholar is included among the top collaborators of Ivan Tancevski 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 Ivan Tancevski. Ivan Tancevski 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
#WorkIndexed citations
1 1
2 7
3 27
4 17
5 4
6 4
7 57
8 18
9 1
10 36
11 16
12 26
13 44
14 9
15 28
16
Arachidonic Acid Metabolites in Cardiovascular and Metabolic Diseasesbreakdown →
329
17 27
18 20
19 6
20
Hyperthyroidism decreases plasma HDL cholesterol by inhibition of hepatic ABCA1 expression
1

About Ivan Tancevski

Ivan Tancevski is a scholar working on Infectious Diseases, Neurology and Biological Psychiatry, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (15 papers), Long-Term Effects of COVID-19 (12 papers) and Lipoproteins and Cardiovascular Health (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (324 citations), Neurology (281 citations) and Critical Care and Intensive Care Medicine (88 citations). Ivan Tancevski has collaborated with scholars based in Austria, Germany and Netherlands. Frequent co-authors include Günter Weiß, Alex Pizzini, Thomas Sonnweber, Manfred Nairz, Kathrin Eller, Judith Löffler‐Ragg, Egon Demetz, Andreas Ritsch, Josef R. Patsch and Sabina Sahanic. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

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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