Markus Kamber

1.4k total citations
17 papers, 1.2k citations indexed

About

Markus Kamber is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Markus Kamber has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Immunology. Recurrent topics in Markus Kamber's work include Pneumonia and Respiratory Infections (5 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Estrogen and related hormone effects (2 papers). Markus Kamber is often cited by papers focused on Pneumonia and Respiratory Infections (5 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Estrogen and related hormone effects (2 papers). Markus Kamber collaborates with scholars based in Switzerland, United States and Germany. Markus Kamber's co-authors include Sini Flückiger‐Isler, Roland Lange, Antoine de Saizieu, Christian Wagner, Wolfgang Keck, Kurt E. Amrein, Nicholas Flint, Peter K. LeMotte, Christian Apfel and Martin Stieger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Markus Kamber

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Markus Kamber Switzerland 14 681 323 223 164 134 17 1.2k
Julio Reyes‐Leyva Mexico 21 546 0.8× 225 0.7× 542 2.4× 138 0.8× 193 1.4× 102 1.5k
Opendra K. Sharma United States 19 578 0.8× 86 0.3× 203 0.9× 84 0.5× 205 1.5× 59 1.2k
Eung‐Chil Choi South Korea 21 830 1.2× 107 0.3× 130 0.6× 34 0.2× 128 1.0× 64 1.3k
Constantinos Stathopoulos Greece 26 1.5k 2.2× 201 0.6× 85 0.4× 39 0.2× 217 1.6× 113 2.0k
Naoko Morinaga Japan 23 816 1.2× 106 0.3× 106 0.5× 43 0.3× 245 1.8× 48 1.5k
Paul L. Skatrud United States 23 1.6k 2.4× 398 1.2× 209 0.9× 54 0.3× 498 3.7× 45 2.6k
Kelei Zhao China 19 495 0.7× 92 0.3× 120 0.5× 46 0.3× 77 0.6× 69 1.0k
José Luís Bocco Argentina 27 1.3k 1.9× 362 1.1× 214 1.0× 198 1.2× 358 2.7× 65 2.0k
W. L. Epstein United States 17 304 0.4× 64 0.2× 156 0.7× 62 0.4× 58 0.4× 48 1.0k
Colette Goffin Belgium 14 706 1.0× 460 1.4× 186 0.8× 55 0.3× 245 1.8× 24 1.3k

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 of co-authors of Markus Kamber

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Kamber. A scholar is included among the top collaborators of Markus Kamber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus Kamber. Markus Kamber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Flückiger‐Isler, Sini & Markus Kamber. (2012). Direct comparison of the Ames microplate format (MPF) test in liquid medium with the standard Ames pre-incubation assay on agar plates by use of equivocal to weakly positive test compounds. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 747(1). 36–45. 72 indexed citations
2.
Flückiger‐Isler, Sini & Markus Kamber. (2009). The Ames MPF Assays: Novel Mutagenicity Testing in Liquid Microplate Format using S. typhimurium TA98,TA100, TA1535 and TA1537. 32–32. 3 indexed citations
3.
4.
Umbuzeiro, Gisela de Aragão, et al.. (2009). Comparison of the Salmonella/microsome microsuspension assay with the new microplate fluctuation protocol for testing the mutagenicity of environmental samples. Environmental and Molecular Mutagenesis. 51(1). 31–38. 34 indexed citations
5.
Wagner, Christian, Antoine de Saizieu, Hans‐Joachim Schönfeld, et al.. (2002). Genetic Analysis and Functional Characterization of the Streptococcus pneumoniae vic Operon. Infection and Immunity. 70(11). 6121–6128. 81 indexed citations
6.
Kostrewa, Dirk, A. D’Arcy, Béla Takács, & Markus Kamber. (2001). Crystal Structures of Streptococcus pneumoniaeN-Acetylglucosamine-1-phosphate Uridyltransferase, GlmU, in Apo Form at 2.33Å Resolution and in Complex with UDP-N-Acetylglucosamine and Mg2+ at 1.96Å Resolution. Journal of Molecular Biology. 305(2). 279–289. 83 indexed citations
7.
Saizieu, Antoine de, Christophe Gardès, Nicholas Flint, et al.. (2000). Microarray-Based Identification of a Novel Streptococcus pneumoniae Regulon Controlled by an Autoinduced Peptide. Journal of Bacteriology. 182(17). 4696–4703. 190 indexed citations
8.
Lange, Roland, Christian Wagner, Antoine de Saizieu, et al.. (1999). Domain organization and molecular characterization of 13 two-component systems identified by genome sequencing of Streptococcus pneumoniae. Gene. 237(1). 223–234. 164 indexed citations
9.
Stieger, Martin, et al.. (1999). Integrational plasmids for the tetracycline-regulated expression of genes in Streptococcus pneumoniae. Gene. 226(2). 243–251. 44 indexed citations
10.
McLane, John A., et al.. (1996). Modulation of epidermal differentiation, tissue inflammation, and T‐lymphocyte infiltration in psoriatic plaques by topical calcitriol. Journal of Cutaneous Pathology. 23(5). 419–430. 15 indexed citations
11.
Apfel, Christian, et al.. (1995). Enhancement of HL-60 Differentiation by a New Class of Retinoids with Selective Activity on Retinoid X Receptor. Journal of Biological Chemistry. 270(51). 30765–30772. 71 indexed citations
12.
Apfel, Christian, F.W. Bauer, Marco Crettaz, et al.. (1992). A retinoic acid receptor alpha antagonist selectively counteracts retinoic acid effects.. Proceedings of the National Academy of Sciences. 89(15). 7129–7133. 228 indexed citations
13.
Garotta, Gianni, Marcus Thelen, Domenico Delia, Markus Kamber, & Marco Baggiolini. (1991). GM-1, a Clone of the Monoblastic Phagocyte U937 That Expresses a Large Respiratory Burst Capacity Upon Activation With Interferon-γ. Journal of Leukocyte Biology. 49(3). 294–301. 8 indexed citations
14.
Mikkelsen, Ross B., et al.. (1988). The role of lipids in Plasmodium falciparum invasion of erythrocytes: a coordinated biochemical and microscopic analysis.. Proceedings of the National Academy of Sciences. 85(16). 5956–5960. 45 indexed citations
15.
Kamber, Markus, et al.. (1987). Recombinant interferons or interleukin-2 increase cytotoxicity by human monocytes and NK cells.. PubMed. 6(3). 215–27. 19 indexed citations
16.
Gisler, Roland H., Anita Söderberg, & Markus Kamber. (1987). Functional maturation of murine B lymphocyte precursors. II. Analysis of cells required from the bone marrow microenvironment.. The Journal of Immunology. 138(8). 2433–2438. 9 indexed citations
17.

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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