Andreja Marn Pernat

51 total papers · 546 total citations
22 papers, 307 citations indexed

About

Andreja Marn Pernat is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Hematology. According to data from OpenAlex, Andreja Marn Pernat has authored 22 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nephrology, 6 papers in Cardiology and Cardiovascular Medicine and 4 papers in Hematology. Recurrent topics in Andreja Marn Pernat's work include Dialysis and Renal Disease Management (4 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). Andreja Marn Pernat is often cited by papers focused on Dialysis and Renal Disease Management (4 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). Andreja Marn Pernat collaborates with scholars based in Slovenia, United States and Brazil. Andreja Marn Pernat's co-authors include Shijie Sun, Max Harry Weil, Wanchun Tang, Joe Bisera, Heitor P. Póvoas, Hitoshi Yamaguchi, Rafael Ponikvar, Jadranka Buturović‐Ponikvar, Peter Kotanko and Andrej Pernat and has published in prestigious journals such as Journal of the American College of Cardiology, Journal of Applied Physiology and Critical Care Medicine.

In The Last Decade

Andreja Marn Pernat

21 papers receiving 282 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andreja Marn Pernat 142 139 63 47 45 22 307
Gun Öhqvist 146 1.0× 67 0.5× 137 2.2× 40 0.9× 66 1.5× 26 349
Stephan Klaus 147 1.0× 36 0.3× 151 2.4× 32 0.7× 43 1.0× 25 330
Wen-Cheng Li 44 0.3× 97 0.7× 50 0.8× 19 0.4× 27 0.6× 17 314
Simon Dixon 161 1.1× 77 0.6× 88 1.4× 36 0.8× 19 0.4× 13 316
Lijing Yang 106 0.7× 58 0.4× 58 0.9× 18 0.4× 43 1.0× 24 267
Yuri M. Ganushchak 73 0.5× 111 0.8× 120 1.9× 132 2.8× 58 1.3× 22 302
Ino Husedžinović 168 1.2× 70 0.5× 114 1.8× 39 0.8× 79 1.8× 29 324
Zhengyi Feng 83 0.6× 109 0.8× 120 1.9× 144 3.1× 28 0.6× 24 321
Lukas Lannemyr 139 1.0× 120 0.9× 139 2.2× 84 1.8× 177 3.9× 21 351
Jonathan Chelly 69 0.5× 200 1.4× 73 1.2× 68 1.4× 18 0.4× 18 345

Countries citing papers authored by Andreja Marn Pernat

Since Specialization
Citations

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

Fields of papers citing papers by Andreja Marn Pernat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreja Marn Pernat. 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 Andreja Marn Pernat. The network helps show where Andreja Marn Pernat may publish in the future.

Co-authorship network of co-authors of Andreja Marn Pernat

This figure shows the co-authorship network connecting the top 25 collaborators of Andreja Marn Pernat. A scholar is included among the top collaborators of Andreja Marn Pernat 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 Andreja Marn Pernat. Andreja Marn Pernat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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