Markus M. Weck
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
Papers in
- Immunology 14
- Immunotherapy and Immune Responses 12
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Immune Response and Inflammation 4
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- RNA Interference and Gene Delivery 4
- Co-authors
- Peter Brossart (16 shared papers)Frank Grünebach (15 shared papers)Silke Appel (11 shared papers)Martin Müller (6 shared papers)Anita Bringmann (6 shared papers)Lothar Kanz (3 shared papers)Susanne M. Schmidt (3 shared papers)Daniela Werth (3 shared papers)
- Journals
- Blood (8 papers)Leukemia (3 papers)Clinical Cancer Research (2 papers)Cancer Gene Therapy (1 paper)Experimental Hematology (1 paper)
- Partner nations
- GermanySwitzerlandBelgium
In The Last Decade
Markus M. Weck
18 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Immunology 765
- Hematology 174
- Genetics 111
- Oncology 254
- Immunology and Allergy 56
Countries citing papers authored by Markus M. Weck
This map shows the geographic impact of Markus M. Weck'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 Markus M. Weck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus M. Weck more than expected).
Fields of papers citing papers by Markus M. Weck
This network shows the impact of papers produced by Markus M. Weck. 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 Markus M. Weck. The network helps show where Markus M. Weck may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus M. Weck, 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 | 2003 | 209 | |
| 2 | 2005 | 163 | |
| 3 | 2004 | 142 | |
| 4 | 2003 | 133 | |
| 5 | 2004 | 109 | |
| 6 | 2007 | 82 | |
| 7 | 2002 | 78 | |
| 8 | 2019 | 71 | |
| 9 | 2007 | 69 | |
| 10 | 2004 | 62 | |
| 11 | 2005 | 61 | |
| 12 | 2004 | 51 | |
| 13 | 2005 | 48 | |
| 14 | 2004 | 32 | |
| 15 | 2008 | 31 | |
| 16 | 2007 | 31 | |
| 17 | 2005 | 23 | |
| 18 | 2005 | 17 |
About Markus M. Weck
Markus M. Weck is a scholar working on Immunology, Molecular Biology, Epidemiology, Hematology and Cancer Research, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), RNA Interference and Gene Delivery (4 papers), Immune Response and Inflammation (4 papers), Cytomegalovirus and herpesvirus research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Immunology (765 citations), Hematology (174 citations), Genetics (111 citations), Oncology (254 citations) and Immunology and Allergy (56 citations). Markus M. Weck has collaborated with scholars based in Germany, Switzerland and Belgium. Frequent co-authors include Peter Brossart, Frank Grünebach, Silke Appel, Martin Müller, Anita Bringmann, Lothar Kanz, Susanne M. Schmidt, Daniela Werth, Christian Sinzger and Annkristin Heine. Their work appears in journals such as Blood, Leukemia, Clinical Cancer Research, Cancer Gene Therapy and Experimental Hematology.
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.