M. Wick
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
Papers in
-
- Ubiquitin and proteasome pathways 2
- Epigenetics and DNA Methylation 1
-
- Immunotherapy and Immune Responses 2
- Co-authors
- Rolf Müller (7 shared papers)Gretchen Hagen (1 shared paper)Christiane Bürger (4 shared papers)Sabine Brüsselbach (3 shared papers)Frances C. Lucibello (2 shared papers)Hans Schreiber (2 shared papers)Claudia Bürger (2 shared papers)Lieping Chen (1 shared paper)
- Journals
- Journal of Cell Science (3 papers)Gene (1 paper)The Journal of Experimental Medicine (1 paper)Biochemical Journal (1 paper)Experimental Cell Research (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
M. Wick
12 papers receiving 854 citations
Peers
Comparison fields: 5 of 80
- Immunology 237
- Cancer Research 153
- Immunology and Allergy 61
- Oncology 237
- Physiology 216
Countries citing papers authored by M. Wick
This map shows the geographic impact of M. Wick'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 M. Wick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Wick more than expected).
Fields of papers citing papers by M. Wick
This network shows the impact of papers produced by M. Wick. 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 M. Wick. The network helps show where M. Wick may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Wick, 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 | 1999 | 237 | |
| 2 | 1997 | 175 | |
| 3 | 1994 | 117 | |
| 4 | 1994 | 71 | |
| 5 | 1994 | 68 | |
| 6 | 1995 | 58 | |
| 7 | 1995 | 58 | |
| 8 | 1994 | 41 | |
| 9 | 1996 | 37 | |
| 10 | Inhibition of Fos- and Ras-induced transformation by mutant Fos proteins with structural alterations in functionally different domains. | 1992 | 26 |
| 11 | TLK286-induced activation of the stress response apoptotic signaling pathway | 2002 | 6 |
| 12 | Transgenic human DAF-expressing porcine livers: their function during hemoperfusion with human blood. | 1996 | 3 |
About M. Wick
M. Wick is a scholar working on Molecular Biology, Immunology, Oncology, Cellular and Molecular Neuroscience and Physiology, having authored 12 papers that have together received 897 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Ubiquitin and proteasome pathways (2 papers), Cancer-related Molecular Pathways (2 papers), Protease and Inhibitor Mechanisms (2 papers), Nuclear Receptors and Signaling (2 papers), CAR-T cell therapy research (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Immunology (237 citations), Cancer Research (153 citations), Immunology and Allergy (61 citations), Oncology (237 citations) and Physiology (216 citations). M. Wick has collaborated with scholars based in Germany and United States. Frequent co-authors include Rolf Müller, Gretchen Hagen, Christiane Bürger, Sabine Brüsselbach, Frances C. Lucibello, Hans Schreiber, Claudia Bürger, Lieping Chen, Christopher Siegel and Hartmut Koeppen. Their work appears in journals such as Journal of Cell Science, Gene, The Journal of Experimental Medicine, Biochemical Journal and Experimental Cell 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.