Ana‐Violeta Fonseca

535 total citations
7 papers, 413 citations indexed

About

Ana‐Violeta Fonseca is a scholar working on Cell Biology, Molecular Biology and Oncology. According to data from OpenAlex, Ana‐Violeta Fonseca has authored 7 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cell Biology, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Ana‐Violeta Fonseca's work include Cancer Cells and Metastasis (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Cell Adhesion Molecules Research (2 papers). Ana‐Violeta Fonseca is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Cell Adhesion Molecules Research (2 papers). Ana‐Violeta Fonseca collaborates with scholars based in Germany, Czechia and Poland. Ana‐Violeta Fonseca's co-authors include Denis Corbeil, Daniel Freund, Martin Bornhäuser, József Jászai, Wieland Β. Huttner, Jana Karbanová, Mareike Florek, Christine A. Fargeas, Peggy Janich and Christoph Thiele and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Histochemistry & Cytochemistry and The Journal of Pathology.

In The Last Decade

Ana‐Violeta Fonseca

7 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ana‐Violeta Fonseca Germany 7 213 191 75 74 60 7 413
Elizabeth M. Chislock United States 6 248 1.2× 197 1.0× 39 0.5× 62 0.8× 67 1.1× 6 469
Shima Uneda Japan 11 264 1.2× 189 1.0× 124 1.7× 64 0.9× 100 1.7× 17 495
Nicholas Murray United Kingdom 10 224 1.1× 168 0.9× 53 0.7× 42 0.6× 38 0.6× 19 669
Claire Bouvard France 12 262 1.2× 93 0.5× 74 1.0× 69 0.9× 33 0.6× 17 480
Z Zhu China 7 338 1.6× 135 0.7× 92 1.2× 27 0.4× 47 0.8× 8 432
Masao Furuhashi Japan 7 479 2.2× 212 1.1× 95 1.3× 49 0.7× 31 0.5× 7 615
Victoria Zismanov Israel 14 384 1.8× 103 0.5× 58 0.8× 79 1.1× 126 2.1× 20 559
Zsuzsa Rákosy Hungary 15 277 1.3× 259 1.4× 137 1.8× 22 0.3× 48 0.8× 23 511
K Shiiba Japan 10 259 1.2× 193 1.0× 74 1.0× 51 0.7× 17 0.3× 18 468
Taher E.I. Taher Netherlands 8 307 1.4× 141 0.7× 48 0.6× 160 2.2× 51 0.8× 9 597

Countries citing papers authored by Ana‐Violeta Fonseca

Since Specialization
Citations

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

Fields of papers citing papers by Ana‐Violeta Fonseca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana‐Violeta Fonseca. 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 Ana‐Violeta Fonseca. The network helps show where Ana‐Violeta Fonseca may publish in the future.

Co-authorship network of co-authors of Ana‐Violeta Fonseca

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

All Works

7 of 7 papers shown
1.
Caley, Matthew, Giolanta Kogianni, Mercedes Rodríguez, et al.. (2011). TGFβ1–Endo180‐dependent collagen deposition is dysregulated at the tumour–stromal interface in bone metastasis. The Journal of Pathology. 226(5). 775–783. 14 indexed citations
2.
Wilsch‐Bräuninger, Michaela, Jana Karbanová, Ana‐Violeta Fonseca, et al.. (2011). Haematopoietic stem cell differentiation promotes the release of prominin‐1/CD133‐containing membrane vesicles—a role of the endocytic–exocytic pathway. EMBO Molecular Medicine. 3(7). 398–409. 87 indexed citations
3.
Fonseca, Ana‐Violeta & Denis Corbeil. (2011). The hematopoietic stem cell polarization and migration. Communicative & Integrative Biology. 4(2). 201–204. 15 indexed citations
4.
Fonseca, Ana‐Violeta, Daniel Freund, Martin Bornhäuser, & Denis Corbeil. (2010). Polarization and Migration of Hematopoietic Stem and Progenitor Cells Rely on the RhoA/ROCK I Pathway and an Active Reorganization of the Microtubule Network. Journal of Biological Chemistry. 285(41). 31661–31671. 48 indexed citations
5.
Freund, Daniel, Ana‐Violeta Fonseca, Peggy Janich, Martin Bornhäuser, & Denis Corbeil. (2010). Differential expression of biofunctional GM1 and GM3 gangliosides within the plastic-adherent multipotent mesenchymal stromal cell population. Cytotherapy. 12(2). 131–142. 24 indexed citations
6.
Karbanová, Jana, Ewa Missol‐Kolka, Ana‐Violeta Fonseca, et al.. (2008). The Stem Cell Marker CD133 (Prominin-1) Is Expressed in Various Human Glandular Epithelia. Journal of Histochemistry & Cytochemistry. 56(11). 977–993. 116 indexed citations
7.
Fonseca, Ana‐Violeta, Mareike Florek, Daniel Freund, et al.. (2007). New Insights into the Cell Biology of Hematopoietic Progenitors by Studying Prominin-1 (CD133). Cells Tissues Organs. 188(1-2). 127–138. 109 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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