Mette Dam

506 total citations
10 papers, 433 citations indexed

About

Mette Dam is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Mette Dam has authored 10 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Mette Dam's work include Bacterial Genetics and Biotechnology (6 papers), Legume Nitrogen Fixing Symbiosis (3 papers) and Nail Diseases and Treatments (3 papers). Mette Dam is often cited by papers focused on Bacterial Genetics and Biotechnology (6 papers), Legume Nitrogen Fixing Symbiosis (3 papers) and Nail Diseases and Treatments (3 papers). Mette Dam collaborates with scholars based in South Africa, United Kingdom and Papua New Guinea. Mette Dam's co-authors include Kenn Gerdes, Rasmus Bugge Jensen, Peter Roepstorff, Jakob Møller‐Jensen, Jonas Borch, Stephen Douthwaite, Susanne K. Pedersen, Alexander S. Mankin, Tanel Tenson and Derek Middleton and has published in prestigious journals such as Molecular Cell, Journal of Molecular Biology and Molecular Microbiology.

In The Last Decade

Mette Dam

10 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mette Dam South Africa	7	276	256	151	66	58	10	433
Dinah Teff Israel	11	316 1.1×	474 1.9×	174 1.2×	43 0.7×	52 0.9×	12	616
Irina Marianovsky Belgium	6	208 0.8×	264 1.0×	187 1.2×	80 1.2×	28 0.5×	7	423
Jamie-Lee Berry United Kingdom	11	228 0.8×	368 1.4×	117 0.8×	37 0.6×	31 0.5×	13	530
Joseph A. Bogan United States	9	294 1.1×	381 1.5×	100 0.7×	49 0.7×	36 0.6×	9	521
H K Peters United States	8	231 0.8×	307 1.2×	135 0.9×	20 0.3×	58 1.0×	9	469
Marion Velten France	8	380 1.4×	477 1.9×	103 0.7×	63 1.0×	29 0.5×	9	579
Nora A. Linderoth United States	13	210 0.8×	406 1.6×	220 1.5×	20 0.3×	38 0.7×	13	538
Paul Casaz United States	11	270 1.0×	341 1.3×	137 0.9×	43 0.7×	49 0.8×	13	419
Chuan Hong United States	8	263 1.0×	250 1.0×	147 1.0×	54 0.8×	31 0.5×	10	486
Ann M. Flower United States	12	456 1.7×	584 2.3×	126 0.8×	30 0.5×	30 0.5×	14	674

Countries citing papers authored by Mette Dam

Since Specialization

Citations

This map shows the geographic impact of Mette Dam'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 Mette Dam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mette Dam more than expected).

Fields of papers citing papers by Mette Dam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mette Dam. 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 Mette Dam. The network helps show where Mette Dam may publish in the future.

Co-authorship network of co-authors of Mette Dam

This figure shows the co-authorship network connecting the top 25 collaborators of Mette Dam. A scholar is included among the top collaborators of Mette Dam 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 Mette Dam. Mette Dam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Dam, Mette, et al.. (2008). Analysis of HLA association in susceptibility to infection with Cryptococcus neoformans var. gattii in a Papua New Guinean population. Medical Mycology. 36(3). 185–188. 1 indexed citations

Møller‐Jensen, Jakob, Jonas Borch, Mette Dam, et al.. (2003). Bacterial Mitosis. Molecular Cell. 12(6). 1477–1487. 174 indexed citations

Dam, Mette, R.A. Seaton, & Andrew J. Hamilton. (1998). Analysis of HLA association in susceptibility to infection withCryptococcus neoformansvar.gattiiin a Papua New Guinean population. Medical Mycology. 36(3). 185–188. 6 indexed citations

Dam, Mette, et al.. (1998). Analysis of HLA association in susceptibility to infection with Cryptococcus neoformans var. gattii in a Papua New Guinean population. Medical Mycology. 36(3). 185–188. 6 indexed citations

Jensen, Rasmus Bugge, et al.. (1996). The centromere‐like parC locus of plasmid R1. Molecular Microbiology. 20(3). 581–592. 35 indexed citations

Dam, Mette, Stephen Douthwaite, Tanel Tenson, & Alexander S. Mankin. (1996). Mutations in Domain II of 23 S rRNA Facilitate Translation of a 23 S rRNA-encoded Pentapeptide Conferring Erythromycin Resistance. Journal of Molecular Biology. 259(1). 1–6. 26 indexed citations

Curran, Martin D., Fionnuala Williams, J. A. P. Earle, et al.. (1996). LONG‐RANGE PCR AMPLIFICATION AS AN ALTERNATIVE STRATEGY FOR CHARACTERIZING NOVEL HLA‐B ALLELES. International Journal of Immunogenetics. 23(4). 297–309. 31 indexed citations

Jensen, Rasmus Bugge, Mette Dam, & Kenn Gerdes. (1994). Partitioning of plasmid R1 The parA operon is autoregulated by parR and its transcription is highly stimulated by a downstream activating element. Journal of Molecular Biology. 236(5). 1299–1309. 52 indexed citations

Dam, Mette & Kenn Gerdes. (1994). Partitioning of plasmid R1 Ten direct repeats flanking the parA promoter constitute a centromere-like partition site parC, that expresses incompatibility. Journal of Molecular Biology. 236(5). 1289–1298. 84 indexed citations

10.

Aagaard, Claus, et al.. (1991). Specific structural probing of plasmid-coded ribosomal RNAs from Escherichia coli. Biochimie. 73(12). 1439–1444. 18 indexed citations

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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