Astrid Maaß
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Filtration and Separation top 10%
Papers in
-
- Genetics, Bioinformatics, and Biomedical Research 4
- Protein Structure and Dynamics 3
- Receptor Mechanisms and Signaling 3
- Machine Learning in Bioinformatics 2
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- Computational Drug Discovery Methods 3
- Co-authors
- Christa E. Müller (4 shared papers)Joachim C. Burbiel (1 shared paper)Karl N. Kirschner (3 shared papers)Roberto D. Lins (1 shared paper)Thereza A. Soares (1 shared paper)Anke C. Schiedel (3 shared papers)Farag F. Sherbiny (3 shared papers)Dirk Reith (6 shared papers)
- Journals
- Computer Physics Communications (1 paper)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Journal of Grid Computing (1 paper)FEBS Journal (1 paper)ChemPhysChem (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Astrid Maaß
24 papers receiving 573 citations
Peers
Comparison fields: 5 of 113
- Physiology 168
- Filtration and Separation 20
- Catalysis 46
- Molecular Biology 339
- Cellular and Molecular Neuroscience 71
Countries citing papers authored by Astrid Maaß
This map shows the geographic impact of Astrid Maaß'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 Astrid Maaß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Astrid Maaß more than expected).
Fields of papers citing papers by Astrid Maaß
This network shows the impact of papers produced by Astrid Maaß. 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 Astrid Maaß. The network helps show where Astrid Maaß may publish in the future.
Co-authors
The 25 scholars most cited alongside Astrid Maaß, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 115 | |
| 2 | 2012 | 87 | |
| 3 | 2013 | 59 | |
| 4 | 2007 | 44 | |
| 5 | 2009 | 36 | |
| 6 | 2013 | 35 | |
| 7 | 2011 | 33 | |
| 8 | 2009 | 32 | |
| 9 | 2010 | 21 | |
| 10 | 2018 | 18 | |
| 11 | 2007 | 17 | |
| 12 | 2008 | 13 | |
| 13 | 2003 | 12 | |
| 14 | 2008 | 9 | |
| 15 | 2010 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2007 | 7 | |
| 19 | 2010 | 6 | |
| 20 | 1993 | 5 |
About Astrid Maaß
Astrid Maaß is a scholar working on Molecular Biology, Computational Theory and Mathematics, Physiology, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 579 indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (4 papers), Adenosine and Purinergic Signaling (4 papers), Computational Drug Discovery Methods (3 papers), Machine Learning in Materials Science (3 papers), Protein Structure and Dynamics (3 papers), Receptor Mechanisms and Signaling (3 papers), Phase Equilibria and Thermodynamics (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Physiology (168 citations), Filtration and Separation (20 citations), Catalysis (46 citations), Molecular Biology (339 citations) and Cellular and Molecular Neuroscience (71 citations). Astrid Maaß has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Christa E. Müller, Joachim C. Burbiel, Karl N. Kirschner, Roberto D. Lins, Thereza A. Soares, Anke C. Schiedel, Farag F. Sherbiny, Dirk Reith, Martin Hofmann‐Apitius and Sonja Hinz. Their work appears in journals such as Computer Physics Communications, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Journal of Grid Computing, FEBS Journal and ChemPhysChem.
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.