Katharina Eberhard

54 total papers · 1.0k total citations
32 papers, 818 citations indexed

About

Katharina Eberhard is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Rheumatology. According to data from OpenAlex, Katharina Eberhard has authored 32 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 8 papers in Oncology and 6 papers in Rheumatology. Recurrent topics in Katharina Eberhard's work include Inflammatory Biomarkers in Disease Prognosis (6 papers), Pregnancy and preeclampsia studies (6 papers) and Systemic Lupus Erythematosus Research (4 papers). Katharina Eberhard is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (6 papers), Pregnancy and preeclampsia studies (6 papers) and Systemic Lupus Erythematosus Research (4 papers). Katharina Eberhard collaborates with scholars based in Austria, Sweden and Brazil. Katharina Eberhard's co-authors include Martin Pichler, Tatjana Stojaković, Armin Gerger, Karl Pummer, Georg C. Hutterer, Richard Zigeuner, Michael Stotz, Thomas Chromecki, Sebastian Mannweiler and Slave Trajanoski and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

Katharina Eberhard

28 papers receiving 804 citations

Author Peers

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

Author Last Decade Papers Cites
Katharina Eberhard 502 236 206 147 123 32 818
Camille Chakiba 369 0.7× 313 1.3× 125 0.6× 111 0.8× 79 0.6× 34 794
Dhakshina Moorthy Ganeshan 303 0.6× 221 0.9× 103 0.5× 303 2.1× 97 0.8× 32 817
Janina Kamińska 445 0.9× 202 0.9× 105 0.5× 185 1.3× 233 1.9× 50 968
Wendy Dam 416 0.8× 98 0.4× 175 0.8× 212 1.4× 167 1.4× 34 789
Angela De Paoli 236 0.5× 328 1.4× 108 0.5× 186 1.3× 186 1.5× 28 854
Terenig Terjanian 488 1.0× 180 0.8× 136 0.7× 160 1.1× 126 1.0× 30 928
Markus Falk 230 0.5× 205 0.9× 98 0.5× 364 2.5× 140 1.1× 57 799
Campbell SD Roxburgh 794 1.6× 230 1.0× 235 1.1× 269 1.8× 41 0.3× 22 916
Leyla Kılıç 558 1.1× 366 1.6× 134 0.7× 167 1.1× 115 0.9× 54 1.0k
R Bergström 433 0.9× 331 1.4× 142 0.7× 241 1.6× 210 1.7× 25 988

Countries citing papers authored by Katharina Eberhard

Since Specialization
Citations

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

Fields of papers citing papers by Katharina Eberhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katharina Eberhard

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