Markus Kamber
Impact in
- Microbiology top 5%
- Biochemistry top 5%
Papers in
-
- Retinoids in leukemia and cellular processes 2
- RNA and protein synthesis mechanisms 2
-
- Pneumonia and Respiratory Infections 5
- Co-authors
- Sini Flückiger‐Isler (5 shared papers)Antoine de Saizieu (3 shared papers)Roland Lange (3 shared papers)Christian Wagner (3 shared papers)Wolfgang Keck (3 shared papers)Nicholas Flint (2 shared papers)Kurt E. Amrein (2 shared papers)Peter K. LeMotte (2 shared papers)
- Journals
- Gene (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Cutaneous Pathology (1 paper)Infection and Immunity (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Markus Kamber
18 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 91
- Microbiology 104
- Biochemistry 89
- Genetics 343
- Molecular Medicine 54
- Molecular Biology 704
Countries citing papers authored by Markus Kamber
This map shows the geographic impact of Markus Kamber'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 Kamber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Kamber more than expected).
Fields of papers citing papers by Markus Kamber
This network shows the impact of papers produced by Markus Kamber. 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 Kamber. The network helps show where Markus Kamber may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Kamber, 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 | 1992 | 240 | |
| 2 | 2000 | 202 | |
| 3 | 1999 | 177 | |
| 4 | 2009 | 96 | |
| 5 | 2001 | 91 | |
| 6 | 2002 | 87 | |
| 7 | 2012 | 77 | |
| 8 | 1995 | 76 | |
| 9 | 1988 | 51 | |
| 10 | 1999 | 45 | |
| 11 | 2009 | 36 | |
| 12 | Recombinant interferons or interleukin-2 increase cytotoxicity by human monocytes and NK cells. | 1987 | 21 |
| 13 | 1996 | 20 | |
| 14 | 1986 | 14 | |
| 15 | 1987 | 10 | |
| 16 | 1991 | 8 | |
| 17 | 2014 | 5 | |
| 18 | The Ames MPF Assays: Novel Mutagenicity Testing in Liquid Microplate Format using S. typhimurium TA98,TA100, TA1535 and TA1537 | 2009 | 4 |
About Markus Kamber
Markus Kamber is a scholar working on Molecular Biology, Epidemiology, Immunology, Cancer Research and Genetics, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (5 papers), Carcinogens and Genotoxicity Assessment (4 papers), T-cell and B-cell Immunology (2 papers), Retinoids in leukemia and cellular processes (2 papers), RNA and protein synthesis mechanisms (2 papers), Estrogen and related hormone effects (2 papers), Immunotherapy and Immune Responses (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Microbiology (104 citations), Biochemistry (89 citations), Genetics (343 citations), Molecular Medicine (54 citations) and Molecular Biology (704 citations). Markus Kamber has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Sini Flückiger‐Isler, Antoine de Saizieu, Roland Lange, Christian Wagner, Wolfgang Keck, Nicholas Flint, Kurt E. Amrein, Peter K. LeMotte, Christian Apfel and Franz Kaufmann. Their work appears in journals such as Gene, Proceedings of the National Academy of Sciences, Journal of Cutaneous Pathology, Infection and Immunity and The Journal of Immunology.
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.