Dagmar Pfeiffer

678 total citations
10 papers, 561 citations indexed

About

Dagmar Pfeiffer is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, Dagmar Pfeiffer has authored 10 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Dagmar Pfeiffer's work include Mesenchymal stem cell research (5 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Wound Healing and Treatments (2 papers). Dagmar Pfeiffer is often cited by papers focused on Mesenchymal stem cell research (5 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Wound Healing and Treatments (2 papers). Dagmar Pfeiffer collaborates with scholars based in Austria, Italy and Switzerland. Dagmar Pfeiffer's co-authors include Ingrid Lang, Christine Unger, Stefanie Walter, Markus Hengstschläger, Lukas Kenner, Helmut Dolznig, Michaela Schlederer, Daniela Unterleuthner, Nina Kramer and Georg Krupitza and has published in prestigious journals such as PLoS ONE, Journal of Cell Science and Journal of Biomedical Materials Research Part A.

In The Last Decade

Dagmar Pfeiffer

10 papers receiving 554 citations

Peers

Dagmar Pfeiffer

ONCOL

SURGE

Karlien Kallmeyer South Africa

Golnaz Karoubi Canada

Jessica Hoarau-Véchot Qatar

Konstantina Kyriakopoulou Greece

Yann Godfrin France

Aleksandra Jauković Serbia

Jin Qi China

Тамара Кукољ Serbia

Bingmin Li China

Karlien Kallmeyer South Africa

Dagmar Pfeiffer

211 ×1.2

207 ×1.1

ONCOL

91 ×0.5

131 ×1.3

82 ×0.8

SURGE

Citations per year, relative to Dagmar Pfeiffer Dagmar Pfeiffer (= 1×) peers Karlien Kallmeyer

Countries citing papers authored by Dagmar Pfeiffer

Since Specialization

Citations

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

Fields of papers citing papers by Dagmar Pfeiffer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Pfeiffer

This figure shows the co-authorship network connecting the top 25 collaborators of Dagmar Pfeiffer. A scholar is included among the top collaborators of Dagmar Pfeiffer 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 Pfeiffer. Dagmar Pfeiffer 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

Wurzer, Paul, Stefan H. Geyer, Wolfgang J. Weninger, et al.. (2018). Comparative study of regenerative effects of mesenchymal stem cells derived from placental amnion, chorion and umbilical cord on dermal wounds. Placenta. 65. 37–46. 47 indexed citations

Pfeiffer, Dagmar, Christina Stefanitsch, Berthold Huppertz, et al.. (2018). Amnion-derived mesenchymal stem cells improve viability of endothelial cells exposed to shear stress in ePTFE grafts. The International Journal of Artificial Organs. 42(2). 80–87. 6 indexed citations

Pfeiffer, Dagmar, Eva Roßmanith, Ingrid Lang, & D. Falkenhagen. (2017). miR-146a, miR-146b, and miR-155 increase expression of IL-6 and IL-8 and support HSP10 in an In vitro sepsis model. PLoS ONE. 12(6). e0179850–e0179850. 70 indexed citations

Wurzer, Paul, et al.. (2016). Comparison of Matrigel and Matriderm as a carrier for human amnion-derived mesenchymal stem cells in wound healing. Placenta. 48. 99–103. 29 indexed citations

Schlederer, Michaela, Karoline Pudelko, Mira Stadler, et al.. (2016). Comparison of cancer cells cultured in 2D vs 3D reveals differences in AKT/mTOR/S6-kinase signaling and drug response. Journal of Cell Science. 130(1). 203–218. 317 indexed citations

Stoiber, Martin, et al.. (2015). Atraumatic Pulsatile Leukocyte Circulation for Long‐Term In Vitro Dynamic Culture and Adhesion Assays. Artificial Organs. 39(11). 973–978. 2 indexed citations

König, Julia, Gregor Weiss, Daniele Rossi, et al.. (2014). Placental Mesenchymal Stromal Cells Derived from Blood Vessels or Avascular Tissues: What Is the Better Choice to Support Endothelial Cell Function?. Stem Cells and Development. 24(1). 115–131. 37 indexed citations

Roßmanith, Eva, et al.. (2014). Marker profile for the evaluation of human umbilical artery smooth muscle cell quality obtained by different isolation and culture methods. Cytotechnology. 68(4). 701–711. 9 indexed citations

Pfeiffer, Dagmar, Christina Stefanitsch, M. G. Müller, et al.. (2014). Endothelialization of electrospun polycaprolactone (PCL) small caliber vascular grafts spun from different polymer blends. Journal of Biomedical Materials Research Part A. 102(12). n/a–n/a. 33 indexed citations

10.

Zimmermann, Anne‐Katrin, Astrid Hirschmann, Dagmar Pfeiffer, Bruno E. Paredes, & Joachim Diebold. (2010). FISH analysis for diagnostic evaluation of challenging melanocytic lesions.. PubMed. 25(9). 1139–47. 11 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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