Markus Kamber

1.4k citations
17 papers · 1.2k indexed · h-index 14

Markus Kamber

17 papers receiving 1.1k citations

Peers

Markus Kamber
Comparison fields: 5 of 89
  • Microbiology 105
  • Biochemistry 82
  • Genetics 323
  • Molecular Medicine 56
  • Molecular Biology 681
Replace Caterina Pagliarulo with:
Caterina Pagliarulo Italy
Shuichi Kusano Japan
Constantinos Stathopoulos Greece
Kurt W. Miller United States
Yunfeng Gao China
Ursula Schneider Germany
Julio Reyes‐Leyva Mexico
Ming Zeng China
Hyun‐Hee Lee South Korea
Kinnosuke Yahiro Japan
Markus Kamber relative to Caterina Pagliarulo Italy Caterina Pagliarulo's profile →
Citations per field
00.5×3.2×
Caterina Pagliarulo · 1×
Citations per year

Countries citing papers authored by Markus Kamber

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Markus Kamber Line = papers co-authored together Markus Kamber links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201272
2
The Ames MPF Assays: Novel Mutagenicity Testing in Liquid Microplate Format using S. typhimurium TA98,TA100, TA1535 and TA1537
20093
3 200985
4 200934
5 200281
6 200183
7 2000190
8 199944
9 1999164
10 199615
11 199571
12 1992228
13 19918
14 198845
15
Recombinant interferons or interleukin-2 increase cytotoxicity by human monocytes and NK cells.
198719
16 19879
17 198614

About Markus Kamber

Markus Kamber is a scholar working on Cancer Research, Immunology, Molecular Medicine, Microbiology and Health, Toxicology and Mutagenesis, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (5 papers), Carcinogens and Genotoxicity Assessment (3 papers), Estrogen and related hormone effects (2 papers), Bacterial Genetics and Biotechnology (2 papers), Retinoids in leukemia and cellular processes (2 papers), Immune Response and Inflammation (2 papers), Immunotherapy and Immune Responses (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Microbiology (105 citations), Biochemistry (82 citations), Genetics (323 citations), Molecular Medicine (56 citations) and Molecular Biology (681 citations). Markus Kamber has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Sini Flückiger‐Isler, Roland Lange, Christian Wagner, Antoine de Saizieu, Wolfgang Keck, Kurt E. Amrein, Nicholas Flint, Christian Apfel, Peter K. LeMotte and Luciana Forni. Their work appears in journals such as Gene, Proceedings of the National Academy of Sciences, Journal of Bacteriology, Mutation Research/Genetic Toxicology and Environmental Mutagenesis and Journal of Leukocyte Biology.

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.

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