Ursula Vinatzer

1.5k total citations
18 papers, 1.1k citations indexed

About

Ursula Vinatzer is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Ursula Vinatzer has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in Ursula Vinatzer's work include Lymphoma Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (3 papers) and RNA modifications and cancer (3 papers). Ursula Vinatzer is often cited by papers focused on Lymphoma Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (3 papers) and RNA modifications and cancer (3 papers). Ursula Vinatzer collaborates with scholars based in Austria, Germany and Netherlands. Ursula Vinatzer's co-authors include Berthold Streubel, Markus Raderer, Andreas Chott, Andrea Lamprecht, Martin Willheim, Urban Lundberg, Alexander von Gabain, Daniela Berdnik, Manuela Baccarini and Rotraud Wieser and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Ursula Vinatzer

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ursula Vinatzer Austria 16 448 430 346 246 149 18 1.1k
L. Tallone Lombardi Italy 17 639 1.4× 125 0.3× 287 0.8× 420 1.7× 146 1.0× 42 1.3k
Kazuyasu Fujii Japan 20 451 1.0× 256 0.6× 293 0.8× 179 0.7× 101 0.7× 59 1.1k
F. M. Sirotnak United States 19 404 0.9× 192 0.4× 301 0.9× 124 0.5× 83 0.6× 42 1.0k
Yuji Yufu Japan 14 244 0.5× 384 0.9× 379 1.1× 238 1.0× 137 0.9× 36 872
Yoshiro Tanio Japan 16 861 1.9× 145 0.3× 822 2.4× 158 0.6× 47 0.3× 50 1.7k
A F Gazdar United States 16 707 1.6× 114 0.3× 573 1.7× 302 1.2× 40 0.3× 20 1.6k
Surinder S. Sahota United Kingdom 23 606 1.4× 708 1.6× 497 1.4× 781 3.2× 787 5.3× 61 1.9k
Luigi Panico Italy 18 398 0.9× 406 0.9× 781 2.3× 144 0.6× 33 0.2× 51 1.5k
Hiroyoshi Hattori Japan 17 435 1.0× 57 0.1× 310 0.9× 325 1.3× 45 0.3× 39 989
Joni Van der Meulen Belgium 17 570 1.3× 126 0.3× 155 0.4× 114 0.5× 41 0.3× 43 1.0k

Countries citing papers authored by Ursula Vinatzer

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Vinatzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ursula Vinatzer

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

All Works

18 of 18 papers shown
1.
Vinatzer, Ursula, Michael P. Lux, Petra Oliva, et al.. (2024). Biochemical and Genetic Testing of GAA in Over 30.000 Symptomatic Patients Suspected to Be Affected With Pompe Disease. Human Mutation. 2024(1). 6248437–6248437.
2.
Franz, Maximilian, Marie Elhenicky, Susanne Stary, et al.. (2014). Global and single gene DNA methylation in umbilical cord blood cells after elective caesarean: a pilot study. European Journal of Obstetrics & Gynecology and Reproductive Biology. 179. 121–124. 21 indexed citations
3.
Schoppmann, Sebastian F., Ursula Vinatzer, Niko Popitsch, et al.. (2013). Novel Clinically Relevant Genes in Gastrointestinal Stromal Tumors Identified by Exome Sequencing. Clinical Cancer Research. 19(19). 5329–5339. 28 indexed citations
4.
Birner, Peter, Andrea Beer, Ursula Vinatzer, et al.. (2012). MAPKAP Kinase 2 Overexpression Influences Prognosis in Gastrointestinal Stromal Tumors and Associates with Copy Number Variations on Chromosome 1 and Expression of p38 MAP Kinase and ETV1. Clinical Cancer Research. 18(7). 1879–1887. 30 indexed citations
5.
Stary, Susanne, Ursula Vinatzer, Leonhard Müllauer, et al.. (2012). t(11;14)(q23;q32) involving IGH and DDX6 in nodal marginal zone lymphoma. Genes Chromosomes and Cancer. 52(1). 33–43. 8 indexed citations
6.
7.
Vinatzer, Ursula, et al.. (2008). Mucosa-Associated Lymphoid Tissue Lymphoma: Novel Translocations Including Rearrangements of ODZ2, JMJD2C, and CNN3. Clinical Cancer Research. 14(20). 6426–6431. 88 indexed citations
8.
Langer, Swen, C Singer, Gernot Hudelist, et al.. (2006). Jun and Fos family protein expression in human breast cancer: correlation of protein expression and clinicopathological parameters.. PubMed. 27(4). 345–52. 50 indexed citations
9.
Pacher, Margit, Michael J. Seewald, Mario Mikula, et al.. (2006). Impact of constitutive IGF1/IGF2 stimulation on the transcriptional program of human breast cancer cells. Carcinogenesis. 28(1). 49–59. 60 indexed citations
10.
11.
Streubel, Berthold, Ursula Vinatzer, Andrea Lamprecht, Markus Raderer, & Andreas Chott. (2005). T(3;14)(p14.1;q32) involving IGH and FOXP1 is a novel recurrent chromosomal aberration in MALT lymphoma. Leukemia. 19(4). 652–658. 265 indexed citations
12.
Streubel, Berthold, Ursula Vinatzer, Martin Willheim, Markus Raderer, & Andreas Chott. (2005). Novel t(5;9)(q33;q22) fuses ITK to SYK in unspecified peripheral T-cell lymphoma. Leukemia. 20(2). 313–318. 201 indexed citations
13.
Aytekin, Metin, Ursula Vinatzer, Mónica Musteanu, Sophie Raynaud, & Rotraud Wieser. (2005). Regulation of the expression of the oncogene EVI1 through the use of alternative mRNA 5′-ends. Gene. 356. 160–168. 31 indexed citations
14.
Vinatzer, Ursula, Christine Mannhalter, Margit Mitterbauer, et al.. (2002). Quantitative comparison of the expression of EVI1 and its presumptive antagonist, MDS1/EVI1, in patients with myeloid leukemia. Genes Chromosomes and Cancer. 36(1). 80–89. 31 indexed citations
15.
Vinatzer, Ursula, Jan Taplick, Christian Seiser, Christa Fonatsch, & Rotraud Wieser. (2001). The leukaemia‐associated transcription factors EVI‐1 and MDS1/EVI1 repress transcription and interact with histone deacetylase. British Journal of Haematology. 114(3). 566–573. 42 indexed citations
16.
Wieser, Rotraud, Armin Volz, Ursula Vinatzer, et al.. (2000). Transcription Factor GATA-2 Gene Is Located Near 3q21 Breakpoints in Myeloid Leukemia. Biochemical and Biophysical Research Communications. 273(1). 239–245. 20 indexed citations
17.
Lundberg, Urban, Ursula Vinatzer, Daniela Berdnik, Alexander von Gabain, & Manuela Baccarini. (1999). Growth Phase-Regulated Induction of Salmonella -Induced Macrophage Apoptosis Correlates with Transient Expression of SPI-1 Genes. Journal of Bacteriology. 181(11). 3433–3437. 135 indexed citations
18.
Wimmer, Katharina, et al.. (1998). Comparative Expression Analysis of the Antagonistic Transcription Factors EVI1 and MDS1-EVI1 in Murine Tissues and duringin VitroHematopoietic Differentiation. Biochemical and Biophysical Research Communications. 252(3). 691–696. 16 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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