Daniela Pfister

638 total citations
8 papers, 373 citations indexed

About

Daniela Pfister is a scholar working on Molecular Biology, Global and Planetary Change and Paleontology. According to data from OpenAlex, Daniela Pfister has authored 8 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Global and Planetary Change and 2 papers in Paleontology. Recurrent topics in Daniela Pfister's work include Planarian Biology and Electrostimulation (7 papers), Marine Ecology and Invasive Species (6 papers) and Developmental Biology and Gene Regulation (3 papers). Daniela Pfister is often cited by papers focused on Planarian Biology and Electrostimulation (7 papers), Marine Ecology and Invasive Species (6 papers) and Developmental Biology and Gene Regulation (3 papers). Daniela Pfister collaborates with scholars based in Austria, Belgium and United States. Daniela Pfister's co-authors include Peter Ladurner, Gaëtan Borgonie, Georg Kuales, Katrien De Mulder, Volker Hartenstein, Willi Salvenmoser, Florentine Marx, Bernhard Egger, Maxime Willems and Paul Eichberger and has published in prestigious journals such as Developmental Biology, Cell and Tissue Research and Journal of Archaeological Science.

In The Last Decade

Daniela Pfister

8 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Pfister Austria 8 284 182 74 58 57 8 373
Georg Kuales Austria 9 327 1.2× 179 1.0× 65 0.9× 107 1.8× 58 1.0× 10 451
Stijn Mouton Netherlands 12 298 1.0× 151 0.8× 34 0.5× 45 0.8× 48 0.8× 22 376
K. Nimeth Austria 10 288 1.0× 252 1.4× 91 1.2× 24 0.4× 44 0.8× 12 396
James M. Sikes United States 6 222 0.8× 172 0.9× 81 1.1× 21 0.4× 38 0.7× 6 302
Robert Gschwentner Austria 13 385 1.4× 278 1.5× 124 1.7× 71 1.2× 81 1.4× 20 529
Takashige Sakurai Japan 7 540 1.9× 460 2.5× 139 1.9× 64 1.1× 129 2.3× 11 670
Miquel Vila‐Farré Germany 11 502 1.8× 362 2.0× 99 1.3× 24 0.4× 140 2.5× 23 570
Philippe Dru France 12 236 0.8× 172 0.9× 46 0.6× 52 0.9× 35 0.6× 17 445
Tsai-Ming Lu Taiwan 11 195 0.7× 59 0.3× 37 0.5× 55 0.9× 16 0.3× 20 353
Maroko Myohara Japan 10 188 0.7× 125 0.7× 22 0.3× 45 0.8× 16 0.3× 22 335

Countries citing papers authored by Daniela Pfister

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Pfister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Pfister

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

All Works

8 of 8 papers shown
1.
Pfister, Daniela, et al.. (2012). A new miniSTR heptaplex system for genetic fingerprinting of ancient DNA from archaeological human bone. Journal of Archaeological Science. 39(10). 3224–3229. 13 indexed citations
2.
Mulder, Katrien De, Georg Kuales, Daniela Pfister, et al.. (2010). Potential of Macrostomum lignano to recover from γ-ray irradiation. Cell and Tissue Research. 339(3). 527–542. 18 indexed citations
3.
Mulder, Katrien De, Daniela Pfister, Georg Kuales, et al.. (2009). Stem cells are differentially regulated during development, regeneration and homeostasis in flatworms. Developmental Biology. 334(1). 198–212. 65 indexed citations
4.
Mulder, Katrien De, Georg Kuales, Daniela Pfister, et al.. (2009). Characterization of the stem cell system of the acoel Isodiametra pulchra. BMC Developmental Biology. 9(1). 69–69. 72 indexed citations
5.
Pfister, Daniela, Katrien De Mulder, Volker Hartenstein, et al.. (2008). Flatworm stem cells and the germ line: Developmental and evolutionary implications of macvasa expression in Macrostomum lignano. Developmental Biology. 319(1). 146–159. 86 indexed citations
6.
Pfister, Daniela, Katrien De Mulder, Isabelle Philipp, et al.. (2007). The exceptional stem cell system of Macrostomum lignano: Screening for gene expression and studying cell proliferation by hydroxyurea treatment and irradiation. Frontiers in Zoology. 4(1). 9–9. 61 indexed citations
7.
Ladurner, Peter, et al.. (2006). The Macrostomum lignano EST database as a molecular resource for studying platyhelminth development and phylogeny. Development Genes and Evolution. 216(11). 695–707. 20 indexed citations
8.
Ladurner, Peter, Daniela Pfister, Christof Seifarth, et al.. (2004). Production and characterisation of cell- and tissue-specific monoclonal antibodies for the flatworm Macrostomum sp.. Histochemistry and Cell Biology. 123(1). 89–104. 38 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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