Vida Vafaizadeh

1.4k total citations
25 papers, 1.1k citations indexed

About

Vida Vafaizadeh is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Vida Vafaizadeh has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Vida Vafaizadeh's work include Cancer Cells and Metastasis (12 papers), Cytokine Signaling Pathways and Interactions (8 papers) and Cancer-related molecular mechanisms research (4 papers). Vida Vafaizadeh is often cited by papers focused on Cancer Cells and Metastasis (12 papers), Cytokine Signaling Pathways and Interactions (8 papers) and Cancer-related molecular mechanisms research (4 papers). Vida Vafaizadeh collaborates with scholars based in Germany, Switzerland and United States. Vida Vafaizadeh's co-authors include Bernd Groner, Petra Klemmt, Jennifer Yeh, Suhu Liu, Sylvane Desrivières, David A. Frank, Sarah R. Walker, Thomas Thum, Hubertus Jarry and Ahmet Uçar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Vida Vafaizadeh

25 papers receiving 1.1k citations

Peers

Vida Vafaizadeh
Jan van Riggelen United States
W Zhang United States
Kumar Sukhdeo United States
Ninib Baryawno Sweden
Karen D. Cowden Dahl United States
Alfiya Safina United States
Fumihiko Matsuno Japan
Thibault Voeltzel France
Datsun A. Hsia United States
Anastasia Chillà Italy
Jan van Riggelen United States
Vida Vafaizadeh
Citations per year, relative to Vida Vafaizadeh Vida Vafaizadeh (= 1×) peers Jan van Riggelen

Countries citing papers authored by Vida Vafaizadeh

Since Specialization
Citations

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

Fields of papers citing papers by Vida Vafaizadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vida Vafaizadeh

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

All Works

20 of 20 papers shown
1.
Utharala, Ramesh, Anna Luise Grab, Vida Vafaizadeh, et al.. (2022). A microfluidic Braille valve platform for on-demand production, combinatorial screening and sorting of chemically distinct droplets. Nature Protocols. 17(12). 2920–2965. 16 indexed citations
2.
Vafaizadeh, Vida, David Buechel, Natalia Rubinstein, et al.. (2021). The interactions of Bcl9/Bcl9L with β-catenin and Pygopus promote breast cancer growth, invasion, and metastasis. Oncogene. 40(43). 6195–6209. 19 indexed citations
3.
Buechel, David, Nami Sugiyama, Natalia Rubinstein, et al.. (2021). Parsing β-catenin’s cell adhesion and Wnt signaling functions in malignant mammary tumor progression. Proceedings of the National Academy of Sciences. 118(34). 25 indexed citations
4.
Vafaizadeh, Vida & Zeinab Barekati. (2020). Immuno-Oncology Biomarkers for Personalized Immunotherapy in Breast Cancer. Frontiers in Cell and Developmental Biology. 8. 162–162. 24 indexed citations
5.
Vafaizadeh, Vida, Emilia Peuhu, Marja L. Mikkola, et al.. (2019). The Eleventh ENBDC Workshop: Advances in Technology Help to Unveil Mechanisms of Mammary Gland Development and Cancerogenesis. Journal of Mammary Gland Biology and Neoplasia. 24(3). 201–206. 1 indexed citations
6.
Schmithals, Christian, Verena Köberle, Hüdayi Korkusuz, et al.. (2015). Improving Drug Penetrability with iRGD Leverages the Therapeutic Response to Sorafenib and Doxorubicin in Hepatocellular Carcinoma. Cancer Research. 75(15). 3147–3154. 54 indexed citations
7.
Chiba, Tomohiro, et al.. (2015). Expression of the miR‐302/367 cluster in glioblastoma cells suppresses tumorigenic gene expression patterns and abolishes transformation related phenotypes. International Journal of Cancer. 137(10). 2296–2309. 36 indexed citations
8.
Richter, Diane, et al.. (2014). Resistance of Cancer Cells to Targeted Therapies Through the Activation of Compensating Signaling Loops. Current Signal Transduction Therapy. 8(3). 193–202. 62 indexed citations
9.
Priester, Maike, Ekaterini Copanaki, Vida Vafaizadeh, et al.. (2013). STAT3 silencing inhibits glioma single cell infiltration and tumor growth. Neuro-Oncology. 15(7). 840–852. 61 indexed citations
10.
Weber, Axel, Corina Borghouts, Christian Brendel, et al.. (2013). The Inhibition of Stat5 by a Peptide Aptamer Ligand Specific for the DNA Binding Domain Prevents Target Gene Transactivation and the Growth of Breast and Prostate Tumor Cells. Pharmaceuticals. 6(8). 960–987. 20 indexed citations
11.
Vafaizadeh, Vida, et al.. (2012). Transforming growth factor β signaling regulates the invasiveness of normal mammary epithelial cells and the metastasis formation of tumor cells. Hormone Molecular Biology and Clinical Investigation. 10(1). 227–239. 2 indexed citations
12.
Klemmt, Petra, Vida Vafaizadeh, & Bernd Groner. (2011). The potential of amniotic fluid stem cells for cellular therapy and tissue engineering. Expert Opinion on Biological Therapy. 11(10). 1297–1314. 58 indexed citations
13.
Vafaizadeh, Vida. (2011). Stat5 assumes distinct functions in mammary gland development and mammary tumor formation. Frontiers in bioscience. 17(1). 1232–1232. 17 indexed citations
14.
Regan, Joseph L., et al.. (2011). c-Kit is required for growth and survival of the cells of origin of Brca1-mutation-associated breast cancer. Oncogene. 31(7). 869–883. 83 indexed citations
15.
Klemmt, Petra, Vida Vafaizadeh, & Bernd Groner. (2010). Murine amniotic fluid stem cells contribute mesenchymal but not epithelial components to reconstituted mammary ducts. Stem Cell Research & Therapy. 1(3). 20–20. 13 indexed citations
16.
Uçar, Ahmet, Vida Vafaizadeh, Hubertus Jarry, et al.. (2010). miR-212 and miR-132 are required for epithelial stromal interactions necessary for mouse mammary gland development. Nature Genetics. 42(12). 1101–1108. 125 indexed citations
17.
18.
Klemmt, Petra, et al.. (2009). Visualization of Stat3 and Stat5 transactivation activity with specific response element dependent reporter constructs integrated into lentiviral gene transfer vectors. Hormone Molecular Biology and Clinical Investigation. 1(3). 127–137. 2 indexed citations
19.
Groner, Bernd, Vida Vafaizadeh, Boris Brill, & Petra Klemmt. (2009). Mammary epithelial and breast cancer stem cells. European Journal of Cancer. 45. 186–193. 4 indexed citations
20.
Desrivières, Sylvane, Christian Künz, Itamar Barash, et al.. (2006). The Biological Functions of the Versatile Transcription Factors STAT3 and STAT5 and New Strategies for their Targeted Inhibition. Journal of Mammary Gland Biology and Neoplasia. 11(1). 75–87. 67 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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