Ulrike Dahlems

667 total citations
9 papers, 493 citations indexed

About

Ulrike Dahlems is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Ulrike Dahlems has authored 9 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Plant Science. Recurrent topics in Ulrike Dahlems's work include Fungal and yeast genetics research (5 papers), Biofuel production and bioconversion (4 papers) and Polyamine Metabolism and Applications (2 papers). Ulrike Dahlems is often cited by papers focused on Fungal and yeast genetics research (5 papers), Biofuel production and bioconversion (4 papers) and Polyamine Metabolism and Applications (2 papers). Ulrike Dahlems collaborates with scholars based in Germany, Switzerland and United States. Ulrike Dahlems's co-authors include Cornelis P. Hollenberg, Gerd Gellissen, Alexander W.M. Strasser, R. Jürgen Dohmen, Rual Lopez‐Ulibarri, Katharina Piontek, Karsten Hellmuth, Andreas Strasser, A. P. G. M. van Loon and Zbigniew A. Janowicz and has published in prestigious journals such as Nucleic Acids Research, European Journal of Biochemistry and Applied Microbiology and Biotechnology.

In The Last Decade

Ulrike Dahlems

9 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrike Dahlems Germany 9 371 141 106 101 43 9 493
Hilkka Turakainen Finland 16 374 1.0× 134 1.0× 85 0.8× 70 0.7× 67 1.6× 32 549
Susanna Harju United States 6 378 1.0× 57 0.4× 72 0.7× 30 0.3× 41 1.0× 6 527
Lars André Sweden 5 430 1.2× 325 2.3× 102 1.0× 132 1.3× 36 0.8× 9 550
Ilya Tolstorukov United States 10 517 1.4× 130 0.9× 57 0.5× 89 0.9× 59 1.4× 12 604
Masayuki Suzuki Japan 12 299 0.8× 90 0.6× 44 0.4× 45 0.4× 51 1.2× 20 563
A. P. G. M. van Loon Switzerland 8 286 0.8× 51 0.4× 61 0.6× 31 0.3× 20 0.5× 11 366
Ulrike Weydemann Germany 9 463 1.2× 85 0.6× 188 1.8× 75 0.7× 33 0.8× 9 541
Efraín Rodríguez Jiménez Cuba 11 204 0.5× 68 0.5× 45 0.4× 103 1.0× 37 0.9× 24 470
Geoff P. Lin‐Cereghino United States 12 561 1.5× 119 0.8× 83 0.8× 124 1.2× 118 2.7× 21 693
Maija‐Leena Onnela Finland 8 401 1.1× 335 2.4× 154 1.5× 199 2.0× 21 0.5× 9 543

Countries citing papers authored by Ulrike Dahlems

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Dahlems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrike Dahlems

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike Dahlems. A scholar is included among the top collaborators of Ulrike Dahlems 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 Ulrike Dahlems. Ulrike Dahlems 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.
Losen, Mario, et al.. (2003). Effect of oxygen supply on passaging, stabilising and screening of recombinant production strains in test tube cultures. FEMS Yeast Research. 4(2). 195–205. 40 indexed citations
2.
Hollenberg, Cornelis P., Conrad Wagner, Kaj Albermann, et al.. (2003). The (strain CBS4732) genome sequencing and analysis. FEMS Yeast Research. 4(2). 207–215. 90 indexed citations
3.
Barnes, Christopher S., et al.. (2001). Production and Characterization of Saratin, an Inhibitor of von Willebrand Factor-Dependent Platelet Adhesion to Collagen. Seminars in Thrombosis and Hemostasis. 27(4). 337–348. 49 indexed citations
4.
Hellmuth, Karsten, et al.. (1999). An expression system matures: A highly efficient and cost-effective process for phytase production by recombinant strains ofHansenula polymorpha. Biotechnology and Bioengineering. 63(3). 373–381. 111 indexed citations
5.
Dahlems, Ulrike, et al.. (1997). Characterization of The Active Site of Schwanniomyces Occidentalis Glucoamylase by In Vitro Mutagenesis. European Journal of Biochemistry. 244(1). 128–133. 13 indexed citations
6.
Gellissen, Gerd, Katharina Piontek, Ulrike Dahlems, et al.. (1996). Recombinant Hansenula polymorpha as a biocatalyst: coexpression of the spinach glycolate oxidase ( GO ) and the S. cerevisiae catalase T ( CTT1 ) gene. Applied Microbiology and Biotechnology. 46(1). 46–54. 41 indexed citations
7.
Gellissen, Gerd, Karl Melber, Zbigniew A. Janowicz, et al.. (1992). Heterologous protein production in yeast. Antonie van Leeuwenhoek. 62(1-2). 79–93. 60 indexed citations
8.
Dohmen, R. Jürgen, Alexander W.M. Strasser, Ulrike Dahlems, & Cornelis P. Hollenberg. (1990). Cloning of the Schwanniomyces occidentalis glucoamylase gene (GAM1) and its expression in Saccharomyces cerevisiae. Gene. 95(1). 111–121. 59 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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