Susanne Vejda

709 total citations
11 papers, 477 citations indexed

About

Susanne Vejda is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Susanne Vejda has authored 11 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Hematology and 3 papers in Genetics. Recurrent topics in Susanne Vejda's work include Chronic Myeloid Leukemia Treatments (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and TGF-β signaling in diseases (3 papers). Susanne Vejda is often cited by papers focused on Chronic Myeloid Leukemia Treatments (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and TGF-β signaling in diseases (3 papers). Susanne Vejda collaborates with scholars based in Austria, Ireland and Slovakia. Susanne Vejda's co-authors include Rolf Schulte‐Hermann, Sharon L. McKenna, Katarzyna Piwocka, Dieter Gelbmann, Christopher Gerner, Editha Bayer, Barbara Peter, Wilfried Bursch, Annemarie Losert and Kamila Wolanin and has published in prestigious journals such as Blood, Carcinogenesis and Molecular & Cellular Proteomics.

In The Last Decade

Susanne Vejda

11 papers receiving 467 citations

Peers

Susanne Vejda

ONCOL

EPIDE

HEMAT

Jennifer Y. Lee United States

Katharina Malinowsky Germany

Stephany Corrêa Brazil

George Sai‐Wah Tsao Hong Kong

Hong Im Kim United States

Rana Awwad United States

Meletios Verras United States

Sylvie Berthier France

Sudha Janaki‐Raman Germany

Ryosuke Moriai Japan

Jennifer Y. Lee United States

Susanne Vejda

430 ×1.3

100 ×1.1

ONCOL

95 ×1.7

EPIDE

14 ×0.3

HEMAT

45 ×1.0

Citations per year, relative to Susanne Vejda Susanne Vejda (= 1×) peers Jennifer Y. Lee

Countries citing papers authored by Susanne Vejda

Since Specialization

Citations

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

Fields of papers citing papers by Susanne Vejda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Vejda

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

All Works

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11 of 11 papers shown

Wolanin, Kamila, Adriana Magalska, Monika Kusio-Kobiałka, et al.. (2010). Expression of Oncogenic Kinase Bcr-Abl Impairs Mitotic Checkpoint and Promotes Aberrant Divisions and Resistance to Microtubule-Targeting Agents. Molecular Cancer Therapeutics. 9(5). 1328–1338. 22 indexed citations

Váradi, Katalin, Hanspeter Rottensteiner, Susanne Vejda, et al.. (2009). Species‐dependent variability of ADAMTS13‐mediated proteolysis of human recombinant von Willebrand factor. Journal of Thrombosis and Haemostasis. 7(7). 1134–1142. 16 indexed citations

Rodgarkia‐Dara, Chantal, Susanne Vejda, Annemarie Losert, et al.. (2006). The activin axis in liver biology and disease. Mutation Research/Reviews in Mutation Research. 613(2-3). 123–137. 87 indexed citations

Collins, Chris, Mark Tangney, John O. Larkin, et al.. (2006). Local gene therapy of solid tumors with GM-CSF and B7-1 eradicates both treated and distal tumors. Cancer Gene Therapy. 13(12). 1061–1071. 30 indexed citations

Piwocka, Katarzyna, Susanne Vejda, Thomas G. Cotter, Gerald C. O’Sullivan, & Sharon L. McKenna. (2006). Bcr-Abl reduces endoplasmic reticulum releasable calcium levels by a Bcl-2–independent mechanism and inhibits calcium-dependent apoptotic signaling. Blood. 107(10). 4003–4010. 22 indexed citations

Wolanin, Kamila, Adriana Magalska, Grażyna Mosieniak, et al.. (2006). Curcumin Affects Components of the Chromosomal Passenger Complex and Induces Mitotic Catastrophe in Apoptosis-Resistant Bcr-Abl-Expressing Cells. Molecular Cancer Research. 4(7). 457–469. 72 indexed citations

Vejda, Susanne, Katarzyna Piwocka, Sharon L. McKenna, & Thomas G. Cotter. (2005). Autocrine secretion of osteopontin results in degradation of IκB in Bcr‐Abl‐expressing cells. British Journal of Haematology. 128(5). 711–721. 16 indexed citations

Vejda, Susanne. (2003). Expression of activins C and E induces apoptosis in human and rat hepatoma cells. Carcinogenesis. 24(11). 1801–1809. 53 indexed citations

Gerner, Christopher, Susanne Vejda, Dieter Gelbmann, et al.. (2002). Concomitant Determination of Absolute Values of Cellular Protein Amounts, Synthesis Rates, and Turnover Rates by Quantitative Proteome Profiling. Molecular & Cellular Proteomics. 1(7). 528–537. 71 indexed citations

10.

Vejda, Susanne, Mark Cranfield, Barbara Peter, et al.. (2002). Expression and dimerization of the rat activin subunits betaC and betaE: evidence for the ormation of novel activin dimers. Journal of Molecular Endocrinology. 28(2). 137–148. 55 indexed citations

11.

Vejda, Susanne, Carsten Posovszky, Sieglinde Zelzer, et al.. (2002). Plasma from Cancer Patients Featuring a Characteristic Protein Composition Mediates Protection against Apoptosis. Molecular & Cellular Proteomics. 1(5). 387–393. 33 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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