Mark Rutz
Impact in
- Immunology top 2%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- interferon and immune responses
- T-cell and B-cell Immunology
- Microbiology top 2%
- Antimicrobial Peptides and Activities
Papers in
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- Immune Response and Inflammation 8
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 2
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- S100 Proteins and Annexins 2
- Ion Transport and Channel Regulation 1
- Co-authors
- Hermann Wagner (8 shared papers)Stefan Bauer (8 shared papers)R. Martin Vabulas (1 shared paper)Hans Häcker (1 shared paper)Parviz Ahmad‐Nejad (1 shared paper)Jochen Metzger (5 shared papers)Peter B. Luppa (5 shared papers)Grayson B. Lipford (1 shared paper)
- Journals
- European Journal of Immunology (3 papers)Immunology Letters (2 papers)Journal of Clinical Investigation (2 papers)The FASEB Journal (1 paper)Circulation Research (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Mark Rutz
11 papers receiving 1.6k citations
Mark Rutz's Hit Papers
Peers
Comparison fields: 5 of 82
- Immunology 1.2k
- Microbiology 204
- Cancer Research 130
- Endocrinology 40
- Epidemiology 234
Countries citing papers authored by Mark Rutz
This map shows the geographic impact of Mark Rutz'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 Mark Rutz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Rutz more than expected).
Fields of papers citing papers by Mark Rutz
This network shows the impact of papers produced by Mark Rutz. 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 Mark Rutz. The network helps show where Mark Rutz may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Rutz, 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 | Bacterial CpG-DNA and lipopolysaccharides activate Toll-like receptors at distinct cellular compartments Hit paper breakdown → | 2002 | 606 |
| 2 | 2004 | 433 | |
| 3 | 2004 | 183 | |
| 4 | 2004 | 176 | |
| 5 | 2006 | 98 | |
| 6 | 2002 | 96 | |
| 7 | 2004 | 25 | |
| 8 | 2004 | 19 | |
| 9 | 2004 | 8 | |
| 10 | 2010 | 1 | |
| 11 | 2004 | 1 |
About Mark Rutz
Mark Rutz is a scholar working on Immunology, Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Response and Inflammation (8 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers), S100 Proteins and Annexins (2 papers), Sepsis Diagnosis and Treatment (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Estrogen and related hormone effects (1 paper) and Ion Transport and Channel Regulation (1 paper). The work is most often cited by research in Immunology (1.2k citations), Microbiology (204 citations), Cancer Research (130 citations), Endocrinology (40 citations) and Epidemiology (234 citations). Mark Rutz has collaborated with scholars based in Germany and United States. Frequent co-authors include Hermann Wagner, Stefan Bauer, R. Martin Vabulas, Hans Häcker, Parviz Ahmad‐Nejad, Jochen Metzger, Peter B. Luppa, Grayson B. Lipford, Guangxun Meng and Alina Grabiec. Their work appears in journals such as European Journal of Immunology, Immunology Letters, Journal of Clinical Investigation, The FASEB Journal and Circulation Research.
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.