Daniela Aust

40 total papers · 907 total citations
21 papers, 187 citations indexed

About

Daniela Aust is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniela Aust has authored 21 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniela Aust's work include Porphyrin Metabolism and Disorders (7 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Heme Oxygenase-1 and Carbon Monoxide (5 papers). Daniela Aust is often cited by papers focused on Porphyrin Metabolism and Disorders (7 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Heme Oxygenase-1 and Carbon Monoxide (5 papers). Daniela Aust collaborates with scholars based in Germany, Switzerland and Belgium. Daniela Aust's co-authors include H Ippen, Iris Eke, Nils Cordes, Gustavo Baretton, Christian Pilarsky, Matthias Neid, Andrea Tannapfel, Felix Rückert, Robert Grützmann and G. Goerz and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Scientific Reports.

In The Last Decade

Daniela Aust

18 papers receiving 172 citations

Author Peers

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

Author						Papers	Cites
Daniela Aust	100	90	43	31	22	21	187
Ling Chen	117 1.2×	88 1.0×	31 0.7×	17 0.5×	28 1.3×	18	249
Rita Balsano	85 0.8×	85 0.9×	50 1.2×	31 1.0×	22 1.0×	20	182
Fiona E. Scott	42 0.4×	105 1.2×	27 0.6×	33 1.1×	23 1.0×	23	217
N Katano	83 0.8×	55 0.6×	22 0.5×	27 0.9×	19 0.9×	19	236
Sonia Candamio	70 0.7×	175 1.9×	79 1.8×	66 2.1×	9 0.4×	21	233
Alexandra M. Moore	80 0.8×	97 1.1×	52 1.2×	38 1.2×	73 3.3×	19	235
Ramón Manuel Lago‐Lestón	70 0.7×	117 1.3×	104 2.4×	39 1.3×	20 0.9×	15	224
Christian Hosius	84 0.8×	94 1.0×	27 0.6×	53 1.7×	22 1.0×	19	226
Cunjian Yi	84 0.8×	44 0.5×	65 1.5×	19 0.6×	16 0.7×	26	192
Yinghong Yang	102 1.0×	36 0.4×	45 1.0×	83 2.7×	38 1.7×	24	237

Countries citing papers authored by Daniela Aust

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Aust

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Aust

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