Tamara Heermann
Impact in
- Biophysics top 10%
-
- Microtubule and mitosis dynamics
Papers in
-
- Lipid Membrane Structure and Behavior 4
- Protein Structure and Dynamics 3
- RNA and protein synthesis mechanisms 2
- Genetics 8
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Petra Schwille (13 shared papers)Beatrice Ramm (5 shared papers)Nikolas Hundt (3 shared papers)Simon Kretschmer (2 shared papers)Derek N. Woolfson (1 shared paper)Gökberk Alagöz (1 shared paper)Jordan M. Fletcher (1 shared paper)Jonas Mücksch (1 shared paper)
- Journals
- ACS Synthetic Biology (3 papers)Nature Communications (2 papers)Journal of Visualized Experiments (2 papers)Nature Methods (1 paper)Scientific Reports (1 paper)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Tamara Heermann
17 papers receiving 306 citations
Peers
Comparison fields: 5 of 65
- Biophysics 28
- Cell Biology 55
- Molecular Biology 220
- Genetics 66
- Ecology 42
Countries citing papers authored by Tamara Heermann
This map shows the geographic impact of Tamara Heermann'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 Tamara Heermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Heermann more than expected).
Fields of papers citing papers by Tamara Heermann
This network shows the impact of papers produced by Tamara Heermann. 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 Tamara Heermann. The network helps show where Tamara Heermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamara Heermann, 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 | 2019 | 79 | |
| 2 | 2021 | 43 | |
| 3 | 2018 | 37 | |
| 4 | 2021 | 26 | |
| 5 | 2018 | 26 | |
| 6 | 2023 | 22 | |
| 7 | 2020 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2018 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2020 | 10 | |
| 12 | 2018 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2022 | 1 | |
| 17 | 2020 | 1 |
About Tamara Heermann
Tamara Heermann is a scholar working on Molecular Biology, Genetics, Ecology, Cellular and Molecular Neuroscience and Biophysics, having authored 17 papers that have together received 308 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Lipid Membrane Structure and Behavior (4 papers), Bacteriophages and microbial interactions (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Protein Structure and Dynamics (3 papers), Nonlinear Dynamics and Pattern Formation (2 papers), RNA and protein synthesis mechanisms (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Biophysics (28 citations), Cell Biology (55 citations), Molecular Biology (220 citations), Genetics (66 citations) and Ecology (42 citations). Tamara Heermann has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Petra Schwille, Beatrice Ramm, Nikolas Hundt, Simon Kretschmer, Derek N. Woolfson, Gökberk Alagöz, Jordan M. Fletcher, Jonas Mücksch, Jakob Schweizer and Germán Rivas. Their work appears in journals such as ACS Synthetic Biology, Nature Communications, Journal of Visualized Experiments, Nature Methods and Scientific Reports.
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.