Sandra Maaß
Impact in
- Microbiology top 5%
- Endocrinology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 12
- RNA and protein synthesis mechanisms 11
- Bacterial biofilms and quorum sensing 9
- Ecology 14
- Bacteriophages and microbial interactions 12
- Co-authors
- Dörte Becher (66 shared papers)Michael Hecker (8 shared papers)Jürgen Bartel (15 shared papers)Katharina Riedel (5 shared papers)Michael Lalk (4 shared papers)Jan Maarten van Dijl (13 shared papers)Jörg Bernhardt (5 shared papers)Andreas Otto (10 shared papers)
- Journals
- Microbiology Spectrum (5 papers)Frontiers in Microbiology (3 papers)Scientific Reports (3 papers)Journal of Proteome Research (3 papers)mBio (2 papers)
- Partner nations
- GermanyNetherlandsSwitzerland
In The Last Decade
Sandra Maaß
69 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 98
- Microbiology 115
- Endocrinology 72
- Molecular Biology 736
- Infectious Diseases 164
- Molecular Medicine 40
Countries citing papers authored by Sandra Maaß
This map shows the geographic impact of Sandra 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 Sandra Maaß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Maaß more than expected).
Fields of papers citing papers by Sandra Maaß
This network shows the impact of papers produced by Sandra 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 Sandra Maaß. The network helps show where Sandra Maaß may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandra 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 100 | |
| 2 | 2011 | 85 | |
| 3 | 2014 | 82 | |
| 4 | 2021 | 48 | |
| 5 | 2017 | 44 | |
| 6 | 2018 | 41 | |
| 7 | 2011 | 37 | |
| 8 | 2020 | 36 | |
| 9 | 2021 | 34 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 28 | |
| 12 | 2019 | 26 | |
| 13 | 2017 | 26 | |
| 14 | 2015 | 26 | |
| 15 | 2016 | 23 | |
| 16 | 2023 | 21 | |
| 17 | 2013 | 21 | |
| 18 | 2022 | 19 | |
| 19 | 2023 | 18 | |
| 20 | 2022 | 18 |
About Sandra Maaß
Sandra Maaß is a scholar working on Molecular Biology, Ecology, Genetics, Spectroscopy and Infectious Diseases, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (14 papers), Advanced Proteomics Techniques and Applications (12 papers), Genomics and Phylogenetic Studies (12 papers), Bacteriophages and microbial interactions (12 papers), RNA and protein synthesis mechanisms (11 papers), Bacterial biofilms and quorum sensing (9 papers), Mass Spectrometry Techniques and Applications (8 papers) and Clostridium difficile and Clostridium perfringens research (6 papers). The work is most often cited by research in Microbiology (115 citations), Endocrinology (72 citations), Molecular Biology (736 citations), Infectious Diseases (164 citations) and Molecular Medicine (40 citations). Sandra Maaß has collaborated with scholars based in Germany, Netherlands and Switzerland. Frequent co-authors include Dörte Becher, Michael Hecker, Jürgen Bartel, Katharina Riedel, Michael Lalk, Jan Maarten van Dijl, Jörg Bernhardt, Andreas Otto, Uwe Völker and Thomas Sura. Their work appears in journals such as Microbiology Spectrum, Frontiers in Microbiology, Scientific Reports, Journal of Proteome Research and mBio.
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.