Jutta Bachmann
Impact in
- Immunology top 1%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Virology top 5%
Papers in
-
- Advanced Biosensing Techniques and Applications 6
- Gene expression and cancer classification 4
- Genomics and Phylogenetic Studies 2
- vaccines and immunoinformatics approaches 2
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Stefan Stevanović (2 shared papers)Hans‐Georg Rammensee (2 shared papers)Niels Emmerich (1 shared paper)Thomas Joos (6 shared papers)Markus F. Templin (3 shared papers)Dieter Stoll (3 shared papers)Tal Simmons (1 shared paper)Lutz Bachmann (2 shared papers)
- Journals
- Drug Discovery Today (3 papers)Molecular Biology and Evolution (1 paper)Combinatorial Chemistry & High Throughput Screening (1 paper)Journal of Forensic Sciences (1 paper)Immunogenetics (1 paper)
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
Jutta Bachmann
12 papers receiving 2.4k citations
Jutta Bachmann's Hit Papers
Peers
Comparison fields: 5 of 91
- Immunology 1.4k
- Virology 111
- Radiology, Nuclear Medicine and Imaging 475
- Molecular Biology 1.5k
- Oncology 291
Countries citing papers authored by Jutta Bachmann
This map shows the geographic impact of Jutta Bachmann'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 Jutta Bachmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jutta Bachmann more than expected).
Fields of papers citing papers by Jutta Bachmann
This network shows the impact of papers produced by Jutta Bachmann. 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 Jutta Bachmann. The network helps show where Jutta Bachmann may publish in the future.
Co-authors
The 17 scholars most cited alongside Jutta Bachmann, 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 | SYFPEITHI: database for MHC ligands and peptide motifs Hit paper breakdown → | 1999 | 1896 |
| 2 | 1997 | 279 | |
| 3 | 2000 | 59 | |
| 4 | Protein microarrays: applications and future challenges. | 2005 | 59 |
| 5 | 2004 | 52 | |
| 6 | 2010 | 45 | |
| 7 | 2000 | 24 | |
| 8 | 2009 | 21 | |
| 9 | 2004 | 20 | |
| 10 | 2005 | 18 | |
| 11 | 2005 | 3 | |
| 12 | 2004 | 2 |
About Jutta Bachmann
Jutta Bachmann is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Plant Science and Ecology, having authored 12 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Gene expression and cancer classification (4 papers), Advanced Proteomics Techniques and Applications (2 papers), Chromosomal and Genetic Variations (2 papers), Genomics and Phylogenetic Studies (2 papers), vaccines and immunoinformatics approaches (2 papers) and Forensic Entomology and Diptera Studies (1 paper). The work is most often cited by research in Immunology (1.4k citations), Virology (111 citations), Radiology, Nuclear Medicine and Imaging (475 citations), Molecular Biology (1.5k citations) and Oncology (291 citations). Jutta Bachmann has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Stefan Stevanović, Hans‐Georg Rammensee, Niels Emmerich, Thomas Joos, Markus F. Templin, Dieter Stoll, Tal Simmons, Lutz Bachmann, Wolfgang J. Miller and Nicole Schneiderhan‐Marra. Their work appears in journals such as Drug Discovery Today, Molecular Biology and Evolution, Combinatorial Chemistry & High Throughput Screening, Journal of Forensic Sciences and Immunogenetics.
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.