Vivian Labovsky

679 total citations
25 papers, 504 citations indexed

About

Vivian Labovsky is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Vivian Labovsky has authored 25 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 7 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Vivian Labovsky's work include Cancer Cells and Metastasis (10 papers), Bone health and treatments (7 papers) and Mesenchymal stem cell research (6 papers). Vivian Labovsky is often cited by papers focused on Cancer Cells and Metastasis (10 papers), Bone health and treatments (7 papers) and Mesenchymal stem cell research (6 papers). Vivian Labovsky collaborates with scholars based in Argentina, United States and France. Vivian Labovsky's co-authors include Norma Alejandra Chasseing, Valeria Fernández Vallone, Mariano J. Levin, Hernán Garcı́a Rivello, Leandro Marcelo Martinez, Marìa Albertina Romaniuk, Cristian R. Smulski, Heun Choi, Karina A. Gómez and María de Luján Calcagno and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Vivian Labovsky

22 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vivian Labovsky Argentina 14 208 183 126 96 77 25 504
Simon Schliffke Germany 11 254 1.2× 159 0.9× 132 1.0× 156 1.6× 97 1.3× 15 549
Mingyao Meng China 15 234 1.1× 134 0.7× 156 1.2× 106 1.1× 102 1.3× 44 558
Silvia Haffner Germany 9 202 1.0× 76 0.4× 82 0.7× 173 1.8× 70 0.9× 12 530
Mario Ricciardi Italy 10 228 1.1× 161 0.9× 267 2.1× 111 1.2× 175 2.3× 15 700
Sarika Saraswati United States 13 357 1.7× 74 0.4× 117 0.9× 95 1.0× 141 1.8× 17 603
David R. Enis United States 9 270 1.3× 222 1.2× 45 0.4× 123 1.3× 175 2.3× 11 645
Dalia Arafat United States 13 233 1.1× 74 0.4× 218 1.7× 133 1.4× 93 1.2× 24 612
Fabienne de Toni France 8 328 1.6× 236 1.3× 206 1.6× 64 0.7× 88 1.1× 12 651
Caressa Lietman United States 14 391 1.9× 160 0.9× 48 0.4× 79 0.8× 51 0.7× 19 910

Countries citing papers authored by Vivian Labovsky

Since Specialization
Citations

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

Fields of papers citing papers by Vivian Labovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivian Labovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Vivian Labovsky. A scholar is included among the top collaborators of Vivian Labovsky 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 Vivian Labovsky. Vivian Labovsky 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.
Wernicke, Alejandra, et al.. (2025). Breast microcalcifications as indicators of bone metastasis risk in early-stage breast cancer. Scientific Reports. 15(1). 35311–35311.
2.
Vázquez, Martı́n, et al.. (2025). Relevance of oncobiome in breast cancer evolution in an Argentine cohort. mSphere. 10(3). e0059724–e0059724. 2 indexed citations
3.
4.
Martinez, Leandro Marcelo, Ina Sevic, Laura Alaniz, et al.. (2023). CD105 expression in cancer-associated fibroblasts: a biomarker for bone metastasis in early invasive ductal breast cancer patients. Frontiers in Cell and Developmental Biology. 11. 1250869–1250869. 7 indexed citations
5.
Labovsky, Vivian, et al.. (2021). Cancer-Associated Fibroblasts in the Breast Tumor Microenvironment. Journal of Mammary Gland Biology and Neoplasia. 26(2). 135–155. 37 indexed citations
6.
Davies, Kevin, María de Luján Calcagno, Hernán Garcı́a Rivello, et al.. (2021). CD1a- and CD83-positive dendritic cells as prognostic markers of metastasis development in early breast cancer patients. Breast Cancer. 28(6). 1328–1339. 25 indexed citations
7.
Labovsky, Vivian, Leandro Marcelo Martinez, Kevin Davies, et al.. (2017). Prognostic significance of TRAIL-R3 and CCR-2 expression in tumor epithelial cells of patients with early breast cancer. BMC Cancer. 17(1). 280–280. 14 indexed citations
8.
Labovsky, Vivian, Leandro Marcelo Martinez, María de Luján Calcagno, et al.. (2016). Interleukin-6 receptor in spindle-shaped stromal cells, a prognostic determinant of early breast cancer. Tumor Biology. 37(10). 13377–13384. 11 indexed citations
9.
Martinez, Leandro Marcelo, Vivian Labovsky, María de Luján Calcagno, et al.. (2016). Comparative prognostic relevance of breast intra-tumoral microvessel density evaluated by CD105 and CD146: A pilot study of 42 cases. Pathology - Research and Practice. 212(4). 350–355. 5 indexed citations
10.
Fernández, Natalia, María Paula Marks, Hernán Garcı́a Rivello, et al.. (2015). ROR1 contributes to melanoma cell growth and migration by regulating N‐cadherin expression via the PI3K/Akt pathway. Molecular Carcinogenesis. 55(11). 1772–1785. 45 indexed citations
11.
Martinez, Leandro Marcelo, Vivian Labovsky, María de Luján Calcagno, et al.. (2015). CD105 Expression on CD34-Negative Spindle-Shaped Stromal Cells of Primary Tumor Is an Unfavorable Prognostic Marker in Early Breast Cancer Patients. PLoS ONE. 10(3). e0121421–e0121421. 23 indexed citations
12.
Labovsky, Vivian, Leandro Marcelo Martinez, Kevin Davies, et al.. (2014). Association Between Ligands and Receptors Related to the Progression of Early Breast Cancer in Tumor Epithelial and Stromal Cells. Clinical Breast Cancer. 15(1). e13–e21. 21 indexed citations
13.
Martinez, Leandro Marcelo, Valeria Fernández Vallone, Vivian Labovsky, et al.. (2013). Changes in the peripheral blood and bone marrow from untreated advanced breast cancer patients that are associated with the establishment of bone metastases. Clinical & Experimental Metastasis. 31(2). 213–232. 30 indexed citations
14.
Vallone, Valeria Fernández, et al.. (2013). Mesenchymal stem cells and their use in therapy: What has been achieved?. Differentiation. 85(1-2). 1–10. 88 indexed citations
15.
Vallone, Valeria Fernández, Hosoon Choi, Vivian Labovsky, et al.. (2013). Bone Marrow Mesenchymal Stem Cells: Pre-Metastatic Niche For Breast Cancer. Blood. 122(21). 4859–4859. 3 indexed citations
16.
Labovsky, Vivian, Leandro Marcelo Martinez, María de Luján Calcagno, et al.. (2013). Abstract C16: Biomarkers of proliferation, survival, and migration of human breast tumor cells: Future perspectives. Cancer Research. 73(3_Supplement). C16–C16.
17.
Vallone, Valeria Fernández, Hosoon Choi, Emilio Batagelj, et al.. (2012). Behaviour of mesenchymal stem cells from bone marrow of untreated advanced breast and lung cancer patients without bone osteolytic metastasis. Clinical & Experimental Metastasis. 30(3). 317–332. 18 indexed citations
18.
19.
Labovsky, Vivian, Valeria Fernández Vallone, Hernán Garcı́a Rivello, et al.. (2009). Cardiomyogenic differentiation of human bone marrow mesenchymal cells: Role of cardiac extract from neonatal rat cardiomyocytes. Differentiation. 79(2). 93–101. 35 indexed citations
20.

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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