Sven Baumann
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Cancer Research top 5%
- NF-κB Signaling Pathways
Papers in
-
- Cell death mechanisms and regulation 12
- Metabolomics and Mass Spectrometry Studies 10
- Immunology 25
- Immune Cell Function and Interaction 11
- Immune Response and Inflammation 8
- T-cell and B-cell Immunology 5
- Co-authors
- Peter H. Krammer (20 shared papers)Andreas Krueger (13 shared papers)Sabine Kirchhoff (10 shared papers)Ingo Schmitz (5 shared papers)Martin von Bergen� (29 shared papers)Joachim Thiery (10 shared papers)Stefanie C. Fas (7 shared papers)Martin Fiedler (8 shared papers)
- Journals
- Blood (4 papers)PLoS ONE (4 papers)European Journal of Immunology (3 papers)The Journal of Immunology (3 papers)Journal of Clinical Investigation (3 papers)
- Partner nations
- GermanyDenmarkSwitzerland
In The Last Decade
Sven Baumann
87 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 143
- Immunology 879
- Cancer Research 391
- Molecular Biology 1.9k
- Spectroscopy 412
- Oncology 509
Countries citing papers authored by Sven Baumann
This map shows the geographic impact of Sven Baumann'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 Sven Baumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Baumann more than expected).
Fields of papers citing papers by Sven Baumann
This network shows the impact of papers produced by Sven Baumann. 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 Sven Baumann. The network helps show where Sven Baumann may publish in the future.
Co-authors
The 25 scholars most cited alongside Sven Baumann, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 459 | |
| 2 | 2001 | 437 | |
| 3 | 2005 | 193 | |
| 4 | 2003 | 152 | |
| 5 | 2007 | 139 | |
| 6 | 2007 | 137 | |
| 7 | 2004 | 112 | |
| 8 | 2006 | 93 | |
| 9 | 2009 | 91 | |
| 10 | 2002 | 86 | |
| 11 | 2010 | 78 | |
| 12 | 2011 | 77 | |
| 13 | 2014 | 75 | |
| 14 | 2014 | 73 | |
| 15 | 2004 | 72 | |
| 16 | 2006 | 70 | |
| 17 | 2003 | 70 | |
| 18 | 2019 | 66 | |
| 19 | 2005 | 64 | |
| 20 | 2006 | 64 |
About Sven Baumann
Sven Baumann is a scholar working on Molecular Biology, Immunology, Cancer Research, Spectroscopy and Organic Chemistry, having authored 91 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (12 papers), Immune Cell Function and Interaction (11 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Immune Response and Inflammation (8 papers), NF-κB Signaling Pathways (8 papers), Advanced Proteomics Techniques and Applications (7 papers), T-cell and B-cell Immunology (5 papers) and Supramolecular Chemistry and Complexes (4 papers). The work is most often cited by research in Immunology (879 citations), Cancer Research (391 citations), Molecular Biology (1.9k citations), Spectroscopy (412 citations) and Oncology (509 citations). Sven Baumann has collaborated with scholars based in Germany, Denmark and Switzerland. Frequent co-authors include Peter H. Krammer, Andreas Krueger, Sabine Kirchhoff, Ingo Schmitz, Martin von Bergen�, Joachim Thiery, Stefanie C. Fas, Martin Fiedler, Uta Ceglarek and Alexander Leichtle. Their work appears in journals such as Blood, PLoS ONE, European Journal of Immunology, The Journal of Immunology and Journal of Clinical Investigation.
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.