Dagmar Gärtner

659 total citations
9 papers, 566 citations indexed

About

Dagmar Gärtner is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Dagmar Gärtner has authored 9 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Ecology. Recurrent topics in Dagmar Gärtner's work include Bacterial Genetics and Biotechnology (5 papers), Bacteriophages and microbial interactions (4 papers) and T-cell and B-cell Immunology (2 papers). Dagmar Gärtner is often cited by papers focused on Bacterial Genetics and Biotechnology (5 papers), Bacteriophages and microbial interactions (4 papers) and T-cell and B-cell Immunology (2 papers). Dagmar Gärtner collaborates with scholars based in Germany. Dagmar Gärtner's co-authors include Wolfgang Hillen, Rudolf Allmansberger, Alexandra Kraus, Christoph J. Hueck, Monika C. Brunner‐Weinzierl, Paul E. Kreuzer, Pushpa Pandiyan, Andreas Radbruch, Klaus Schulze‐Osthoff and Holger Hoff and has published in prestigious journals such as Nucleic Acids Research, The Journal of Experimental Medicine and Journal of Bacteriology.

In The Last Decade

Dagmar Gärtner

9 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dagmar Gärtner Germany 8 299 285 142 128 118 9 566
Martin Gamer Germany 13 189 0.6× 420 1.5× 41 0.3× 90 0.7× 33 0.3× 22 591
Lidia Westers Netherlands 7 251 0.8× 411 1.4× 51 0.4× 156 1.2× 28 0.2× 8 594
Heidi Horowitz United States 16 303 1.0× 764 2.7× 81 0.6× 80 0.6× 25 0.2× 17 939
Rebecca St. Pierre Canada 7 216 0.7× 364 1.3× 28 0.2× 69 0.5× 47 0.4× 8 536
William C. Tacon United Kingdom 12 223 0.7× 322 1.1× 31 0.2× 86 0.7× 22 0.2× 15 420
Steven Szarka Canada 8 119 0.4× 356 1.2× 20 0.1× 75 0.6× 36 0.3× 8 509
Michèle Lecocq France 12 108 0.4× 327 1.1× 50 0.4× 30 0.2× 26 0.2× 22 449
Richard E. Musso United States 12 333 1.1× 533 1.9× 45 0.3× 115 0.9× 10 0.1× 16 625
E A Best United States 8 118 0.4× 243 0.9× 67 0.5× 28 0.2× 34 0.3× 10 407

Countries citing papers authored by Dagmar Gärtner

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Gärtner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Gärtner

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

All Works

9 of 9 papers shown
1.
Gärtner, Dagmar, Holger Hoff, Ulrike Gimsa, G.-R. Burmester, & Monika C. Brunner‐Weinzierl. (2005). CD25 regulatory T cells determine secondary but not primary remission in EAE: Impact on long-term disease progression. Journal of Neuroimmunology. 172(1-2). 73–84. 52 indexed citations
2.
Pandiyan, Pushpa, et al.. (2004). CD152 (CTLA-4) Determines the Unequal Resistance of Th1 and Th2 Cells against Activation-induced Cell Death by a Mechanism Requiring PI3 Kinase Function. The Journal of Experimental Medicine. 199(6). 831–842. 90 indexed citations
3.
Kraus, Alexandra, Christoph J. Hueck, Dagmar Gärtner, & Wolfgang Hillen. (1994). Catabolite repression of the Bacillus subtilis xyl operon involves a cis element functional in the context of an unrelated sequence, and glucose exerts additional xylR-dependent repression. Journal of Bacteriology. 176(6). 1738–1745. 120 indexed citations
4.
Allmansberger, Rudolf, et al.. (1993). An operator binding-negative mutation of Xyl repressor fromBacillus subtilisistransdominant inBacillus megaterium. FEMS Microbiology Letters. 109(1). 81–84. 4 indexed citations
5.
Gärtner, Dagmar, et al.. (1992). Regulation of the Bacillus subtilis W23 xylose utilization operon : interaction of the Xyl repressor with the xyl operator and the inducer xylose. Molecular and General Genetics MGG. 232(3). 415–422. 51 indexed citations
6.
7.
Kreuzer, Paul E., Dagmar Gärtner, Rudolf Allmansberger, & Wolfgang Hillen. (1989). Identification and sequence analysis of the Bacillus subtilis W23 xylR gene and xyl operator. Journal of Bacteriology. 171(7). 3840–3845. 67 indexed citations
8.
Gärtner, Dagmar, et al.. (1988). Expression of the Bacillus subtilis xyl operon is repressed at the level of transcription and is induced by xylose. Journal of Bacteriology. 170(7). 3102–3109. 98 indexed citations
9.
Gärtner, Dagmar, et al.. (1985). A bidirectionally active signal for termination of transcription is located betweentetAandorfLon transposon Tn10. Nucleic Acids Research. 13(12). 4227–4237. 17 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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