Eva Fiala‐Beer

13 total papers · 525 total citations
12 papers, 446 citations indexed

About

Eva Fiala‐Beer is a scholar working on Oncology, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Eva Fiala‐Beer has authored 12 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Nutrition and Dietetics. Recurrent topics in Eva Fiala‐Beer's work include Eicosanoids and Hypertension Pharmacology (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Food composition and properties (3 papers). Eva Fiala‐Beer is often cited by papers focused on Eicosanoids and Hypertension Pharmacology (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Food composition and properties (3 papers). Eva Fiala‐Beer collaborates with scholars based in Australia and United Kingdom. Eva Fiala‐Beer's co-authors include Xuguo Zhang, David Goldstein, Romano C. Pirola, Phoebe A. Phillips, Minoti V. Apte, Zhihong Xu, Jeremy S. Wilson, Andrew V. Biankin, Lu Yang and Alain Vonlaufen and has published in prestigious journals such as Cancer Research, Biochemical Journal and FEBS Letters.

In The Last Decade

Eva Fiala‐Beer

12 papers receiving 441 citations

Author Peers

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

Author Last Decade Papers Cites
Eva Fiala‐Beer 255 146 88 83 72 12 446
Xuezhen Zeng 153 0.6× 216 1.5× 96 1.1× 35 0.4× 88 1.2× 18 457
Janice M. Kraniak 104 0.4× 222 1.5× 85 1.0× 31 0.4× 58 0.8× 15 494
Luciana H. Osaki 97 0.4× 182 1.2× 79 0.9× 156 1.9× 50 0.7× 16 443
Christelle Dubey 127 0.5× 313 2.1× 49 0.6× 33 0.4× 53 0.7× 9 427
Xueting Shao 94 0.4× 191 1.3× 100 1.1× 25 0.3× 81 1.1× 14 422
Katherine J. Bryant 41 0.2× 300 2.1× 84 1.0× 59 0.7× 23 0.3× 17 449
Lu-Hai Wang 184 0.7× 234 1.6× 156 1.8× 26 0.3× 134 1.9× 11 456
Tomiko Shimada 99 0.4× 226 1.5× 29 0.3× 39 0.5× 129 1.8× 11 418
Louise Malan‐Shibley 157 0.6× 234 1.6× 51 0.6× 27 0.3× 66 0.9× 13 437
Liang-Mou Kuo 64 0.3× 134 0.9× 100 1.1× 49 0.6× 56 0.8× 12 431

Countries citing papers authored by Eva Fiala‐Beer

Since Specialization
Citations

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

Fields of papers citing papers by Eva Fiala‐Beer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Fiala‐Beer. 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 Eva Fiala‐Beer. The network helps show where Eva Fiala‐Beer may publish in the future.

Co-authorship network of co-authors of Eva Fiala‐Beer

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Fiala‐Beer. A scholar is included among the top collaborators of Eva Fiala‐Beer 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 Eva Fiala‐Beer. Eva Fiala‐Beer 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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2026