Gabriela Aust

4.7k total citations
115 papers, 3.2k citations indexed

About

Gabriela Aust is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Gabriela Aust has authored 115 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 31 papers in Immunology and 26 papers in Oncology. Recurrent topics in Gabriela Aust's work include Receptor Mechanisms and Signaling (23 papers), Neuropeptides and Animal Physiology (14 papers) and Thyroid Disorders and Treatments (14 papers). Gabriela Aust is often cited by papers focused on Receptor Mechanisms and Signaling (23 papers), Neuropeptides and Animal Physiology (14 papers) and Thyroid Disorders and Treatments (14 papers). Gabriela Aust collaborates with scholars based in Germany, Netherlands and United States. Gabriela Aust's co-authors include Jörg Hamann, Tobias Langenhan, Werner A. Scherbaum, Manja Wobus, Joerg Galle, Wd. Eichler, Irina Lehmann, Sandy Laue, Markus Loeffler and Carsten Boltze and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Gabriela Aust

113 papers receiving 3.1k citations

Peers

Gabriela Aust
Comparison fields: 5 of 132
  • Molecular Biology 1.6k
  • Immunology 716
  • Oncology 653
  • Cellular and Molecular Neuroscience 468
  • Surgery 360
Replace Sandip M. Kanse with:
Sandip M. Kanse Germany
Junkoh Yamashita Japan
David R. Rowley United States
Catherine L. Farrell United States
Jörg W. Bartsch Germany
Gretchen Frantz United States
Jody J. Haigh Belgium
Gaetano Magro Italy
Shuan Shian Huang United States
Franklin Peale United States
Sandip M. Kanse Germany View profile →
Citations per field, relative to Gabriela Aust
Gabriela Aust · 1×
Citations per year, relative to Gabriela Aust
Gabriela Aust · 1×

Countries citing papers authored by Gabriela Aust

Since Specialization
Citations

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

Fields of papers citing papers by Gabriela Aust

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriela Aust

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriela Aust. A scholar is included among the top collaborators of Gabriela 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 Gabriela Aust. Gabriela Aust is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 28
2 14
3 3
4 123
5 15
6 20
7 60
8 3
9 7
10 8
11 8
12 25
13 53
14 23
15 68
16 15
17 50
18 50
19 42
20 15

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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