Beatrix Mutschlechner

46 total papers · 507 total citations
12 papers, 147 citations indexed

About

Beatrix Mutschlechner is a scholar working on Infectious Diseases, Physiology and Molecular Biology. According to data from OpenAlex, Beatrix Mutschlechner has authored 12 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Physiology and 3 papers in Molecular Biology. Recurrent topics in Beatrix Mutschlechner's work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers) and Thermoregulation and physiological responses (2 papers). Beatrix Mutschlechner is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers) and Thermoregulation and physiological responses (2 papers). Beatrix Mutschlechner collaborates with scholars based in Austria, Liechtenstein and Switzerland. Beatrix Mutschlechner's co-authors include Thomas Winder, Magdalena Benda, Hanno Ulmer, Ulf Petrausch, Judith Schimpf, Emanuel Zitt, Minh Huynh, Klaus Gasser, Hannelore Sprenger-Mähr and Karl Lhotta and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Beatrix Mutschlechner

9 papers receiving 146 citations

Author Peers

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

Author Last Decade Papers Cites
Beatrix Mutschlechner 110 45 21 21 17 12 147
Maxime Espi 91 0.8× 58 1.3× 20 1.0× 12 0.6× 20 1.2× 9 217
Maria E. Goossens 79 0.7× 24 0.5× 9 0.4× 6 0.3× 24 1.4× 9 155
Eleonora Tartaglia 128 1.2× 16 0.4× 9 0.4× 13 0.6× 9 0.5× 18 249
Sajjad Biglari 125 1.1× 17 0.4× 14 0.7× 8 0.4× 8 0.5× 15 220
Khalil Ansarin 135 1.2× 12 0.3× 9 0.4× 29 1.4× 5 0.3× 12 237
Chan Dai 158 1.4× 39 0.9× 11 0.5× 7 0.3× 17 1.0× 10 276
Tawheeda Ibrahim 168 1.5× 20 0.4× 6 0.3× 4 0.2× 7 0.4× 10 258
Stefania Notari 106 1.0× 20 0.4× 5 0.2× 9 0.4× 18 1.1× 18 191
Laura Weichselbaum 40 0.4× 16 0.4× 9 0.4× 25 1.2× 42 2.5× 11 261
Runa Watkins 62 0.6× 9 0.2× 23 1.1× 3 0.1× 34 2.0× 10 122

Countries citing papers authored by Beatrix Mutschlechner

Since Specialization
Citations

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

Fields of papers citing papers by Beatrix Mutschlechner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatrix Mutschlechner

This figure shows the co-authorship network connecting the top 25 collaborators of Beatrix Mutschlechner. A scholar is included among the top collaborators of Beatrix Mutschlechner 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 Beatrix Mutschlechner. Beatrix Mutschlechner 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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