Daniela Vollmer
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
Papers in
-
- Bacterial biofilms and quorum sensing 4
- Co-authors
- Waldemar Vollmer (15 shared papers)Jacob Biboy (9 shared papers)Jean‐Pierre Simorre (2 shared papers)Catherine Bougault (2 shared papers)Katharina Peters (2 shared papers)Thomas Kern (1 shared paper)Alexander Tomasz (1 shared paper)Nhat Khai Bui (1 shared paper)
- Journals
- Molecular Microbiology (2 papers)International Journal of Molecular Sciences (2 papers)Analytical Biochemistry (1 paper)Health & Social Care in the Community (1 paper)Nature Microbiology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Daniela Vollmer
16 papers receiving 345 citations
Peers
Comparison fields: 5 of 57
- Molecular Medicine 59
- Endocrinology 35
- Microbiology 40
- Infectious Diseases 68
- Genetics 92
Countries citing papers authored by Daniela Vollmer
This map shows the geographic impact of Daniela Vollmer'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 Vollmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Vollmer more than expected).
Fields of papers citing papers by Daniela Vollmer
This network shows the impact of papers produced by Daniela Vollmer. 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 Vollmer. The network helps show where Daniela Vollmer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Vollmer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 82 | |
| 2 | 2016 | 79 | |
| 3 | 2011 | 78 | |
| 4 | 2019 | 26 | |
| 5 | 2017 | 19 | |
| 6 | 2018 | 18 | |
| 7 | 2022 | 14 | |
| 8 | 2017 | 8 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 5 | |
| 11 | 2018 | 4 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2013 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 |
About Daniela Vollmer
Daniela Vollmer is a scholar working on Molecular Biology, Infectious Diseases, Molecular Medicine, Genetics and Epidemiology, having authored 17 papers that have together received 345 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (4 papers), Bacterial Genetics and Biotechnology (4 papers), Antibiotic Resistance in Bacteria (4 papers), Bacterial Infections and Vaccines (3 papers), Pneumonia and Respiratory Infections (3 papers), Streptococcal Infections and Treatments (2 papers), Cystic Fibrosis Research Advances (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Molecular Medicine (59 citations), Endocrinology (35 citations), Microbiology (40 citations), Infectious Diseases (68 citations) and Genetics (92 citations). Daniela Vollmer has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Waldemar Vollmer, Jacob Biboy, Jean‐Pierre Simorre, Catherine Bougault, Katharina Peters, Thomas Kern, Alexander Tomasz, Nhat Khai Bui, Robert M. Cleverley and Vincenzo A. Rao. Their work appears in journals such as Molecular Microbiology, International Journal of Molecular Sciences, Analytical Biochemistry, Health & Social Care in the Community and Nature Microbiology.
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.