Sabine Baumgart
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- Single-cell and spatial transcriptomics
- Ubiquitin and proteasome pathways
Papers in
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- Single-cell and spatial transcriptomics 8
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- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Co-authors
- Andreas Grützkau (9 shared papers)Henrik E. Mei (6 shared papers)Axel Schulz (4 shared papers)Fred W. McLafferty (1 shared paper)Pieter C. Dorrestein (1 shared paper)Huili Zhai (1 shared paper)Tadhg P. Begley (1 shared paper)Kristin E. Burns (1 shared paper)
- Journals
- Cytometry Part A (4 papers)Frontiers in Immunology (3 papers)Vaccines (2 papers)iScience (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Sabine Baumgart
25 papers receiving 539 citations
Peers
Comparison fields: 5 of 89
- Biophysics 44
- Molecular Biology 335
- Immunology 89
- Spectroscopy 63
- Biological Psychiatry 8
Countries citing papers authored by Sabine Baumgart
This map shows the geographic impact of Sabine Baumgart'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 Sabine Baumgart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabine Baumgart more than expected).
Fields of papers citing papers by Sabine Baumgart
This network shows the impact of papers produced by Sabine Baumgart. 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 Sabine Baumgart. The network helps show where Sabine Baumgart may publish in the future.
Co-authors
The 25 scholars most cited alongside Sabine Baumgart, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 85 | |
| 2 | 2004 | 55 | |
| 3 | 2004 | 47 | |
| 4 | 2016 | 40 | |
| 5 | 2015 | 37 | |
| 6 | 2018 | 36 | |
| 7 | 2019 | 36 | |
| 8 | 2016 | 30 | |
| 9 | 2017 | 25 | |
| 10 | 2022 | 24 | |
| 11 | 2020 | 22 | |
| 12 | 2021 | 22 | |
| 13 | 2009 | 21 | |
| 14 | 2024 | 19 | |
| 15 | 2019 | 16 | |
| 16 | 2019 | 11 | |
| 17 | 2017 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2011 | 3 | |
| 20 | 2025 | 2 |
About Sabine Baumgart
Sabine Baumgart is a scholar working on Molecular Biology, Immunology, Epidemiology, Infectious Diseases and Spectroscopy, having authored 27 papers that have together received 546 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), COVID-19 Clinical Research Studies (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Long-Term Effects of COVID-19 (2 papers), Cell Image Analysis Techniques (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Biophysics (44 citations), Molecular Biology (335 citations), Immunology (89 citations), Spectroscopy (63 citations) and Biological Psychiatry (8 citations). Sabine Baumgart has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Andreas Grützkau, Henrik E. Mei, Axel Schulz, Fred W. McLafferty, Pieter C. Dorrestein, Huili Zhai, Tadhg P. Begley, Kristin E. Burns, Anette Peddinghaus and Cordula Enenkel. Their work appears in journals such as Cytometry Part A, Frontiers in Immunology, Vaccines, iScience and Frontiers in 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.