Daniela Aust

477 citations
4 papers · 69 · h-index 2

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Colorectal Cancer Treatments and Studies
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Screening and Detection

Papers in

    • Colorectal Cancer Surgical Treatments 1
    • Colorectal Cancer Treatments and Studies 1
    • Pancreatic and Hepatic Oncology Research 1
    • Cancer Genomics and Diagnostics 2

Daniela Aust

3 papers receiving 69 citations

Peers

Daniela Aust
Comparison fields: 5 of 30
  • Cancer Research 27
  • Oncology 38
  • Pathology and Forensic Medicine 19
  • Aging 1
  • Molecular Biology 31
Replace Anna Maria Lavecchia with:
Anna Maria Lavecchia Italy
Alexander E. Yueh United States
Martina Di Trani Italy
Mohamed Elfagieh Libya
Michael K.C. Lee Australia
Krysta Chaldekas United States
Edward Y. Zhu United States
Nicola Laurence United Kingdom
Haihua Fu China
Manjeet K. Humphreys United Kingdom
Daniela Aust relative to Anna Maria Lavecchia Italy Anna Maria Lavecchia's profile →
Citations per field
00.5×
Anna Maria Lavecchia · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniela Aust, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Aust Line = papers co-authored together Daniela Aust links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 202137
2 201331
3 20181
4 20240

About Daniela Aust

Daniela Aust is a scholar working on Oncology, Cancer Research, Surgery, Molecular Biology and Pathology and Forensic Medicine, having authored 4 papers that have together received 69 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Colorectal Cancer Surgical Treatments (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Ferroptosis and cancer prognosis (1 paper), Genetic factors in colorectal cancer (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Cancer therapeutics and mechanisms (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Cancer Research (27 citations), Oncology (38 citations), Pathology and Forensic Medicine (19 citations), Aging (1 citation) and Molecular Biology (31 citations). Daniela Aust has collaborated with scholars based in Germany, France and Italy. Frequent co-authors include Thomas M. Gress, S Ripka, Malte Buchholz, Sebastian Krug, Christian Pilarsky, Benjamin Kühnemuth, Heidi Griesmann, Patrick Michl, Karine Le Malicot and Côme Lepage. Their work appears in journals such as European Journal of Surgical Oncology, Clinical Cancer Research, Strahlentherapie und Onkologie and Neoplasia.

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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