Valbona Luga

3.0k total citations · 2 hit papers
9 papers, 2.4k citations indexed

About

Valbona Luga is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Valbona Luga has authored 9 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Valbona Luga's work include Extracellular vesicles in disease (5 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Caveolin-1 and cellular processes (2 papers). Valbona Luga is often cited by papers focused on Extracellular vesicles in disease (5 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Caveolin-1 and cellular processes (2 papers). Valbona Luga collaborates with scholars based in Canada, Japan and France. Valbona Luga's co-authors include Jeffrey L. Wrana, Liang Zhang, Abdel Hosein, Elaine Chiu, Marguerite Buchanan, Abiodun A. Ogunjimi, Alicia Viloria‐Petit, Mark Basik, Rohit Bose and Kevin R. Brown and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Valbona Luga

9 papers receiving 2.4k citations

Hit Papers

Exosomes Mediate Stromal Mobilization of Autocrine Wnt-PC... 2005 2026 2012 2019 2012 2005 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valbona Luga Canada 9 2.1k 929 412 349 211 9 2.4k
Vandhana Muralidharan-Chari United States 12 1.9k 0.9× 994 1.1× 236 0.6× 266 0.8× 328 1.6× 17 2.2k
Martin Hagedorn France 28 1.5k 0.7× 468 0.5× 442 1.1× 250 0.7× 221 1.0× 42 2.2k
Maria Francesca Baietti Belgium 14 1.7k 0.8× 869 0.9× 208 0.5× 290 0.8× 244 1.2× 19 2.0k
Guo-fu Hu United States 18 1.6k 0.8× 692 0.7× 456 1.1× 188 0.5× 185 0.9× 18 2.2k
Saskia I. J. Ellenbroek Netherlands 16 1.6k 0.8× 624 0.7× 671 1.6× 455 1.3× 287 1.4× 18 2.5k
Steffen Runz Germany 9 1.4k 0.7× 644 0.7× 297 0.7× 254 0.7× 338 1.6× 9 1.8k
Sebastian Hoersch United States 16 1.6k 0.8× 503 0.5× 672 1.6× 350 1.0× 180 0.9× 23 2.6k
Daniela Tosoni Italy 16 1.8k 0.9× 531 0.6× 1.2k 2.9× 585 1.7× 191 0.9× 24 2.7k
Matthew Holderfield United States 17 1.7k 0.8× 266 0.3× 564 1.4× 281 0.8× 219 1.0× 25 2.2k
Bodour Salhia United States 26 914 0.4× 483 0.5× 580 1.4× 304 0.9× 139 0.7× 69 2.0k

Countries citing papers authored by Valbona Luga

Since Specialization
Citations

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

Fields of papers citing papers by Valbona Luga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valbona Luga

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

All Works

9 of 9 papers shown
1.
Li, Zhongchi, Vivien Low, Valbona Luga, et al.. (2022). Tumor-produced and aging-associated oncometabolite methylmalonic acid promotes cancer-associated fibroblast activation to drive metastatic progression. Nature Communications. 13(1). 6239–6239. 44 indexed citations
2.
Tassew, Nardos G., Jason Charish, Alireza P. Shabanzadeh, et al.. (2017). Exosomes Mediate Mobilization of Autocrine Wnt10b to Promote Axonal Regeneration in the Injured CNS. Cell Reports. 20(1). 99–111. 88 indexed citations
3.
Zhang, Liang, Valbona Luga, Amy Won, et al.. (2016). A lateral signalling pathway coordinates shape volatility during cell migration. Nature Communications. 7(1). 45 indexed citations
4.
Shimoda, Masayuki, Simona Principe, Hartland W. Jackson, et al.. (2014). Loss of the Timp gene family is sufficient for the acquisition of the CAF-like cell state. Nature Cell Biology. 16(9). 889–901. 167 indexed citations
5.
Luga, Valbona & Jeffrey L. Wrana. (2013). Tumor–Stroma Interaction: Revealing Fibroblast-Secreted Exosomes as Potent Regulators of Wnt-Planar Cell Polarity Signaling in Cancer Metastasis. Cancer Research. 73(23). 6843–6847. 152 indexed citations
6.
Luga, Valbona, Liang Zhang, Alicia Viloria‐Petit, et al.. (2012). Exosomes Mediate Stromal Mobilization of Autocrine Wnt-PCP Signaling in Breast Cancer Cell Migration. Cell. 151(7). 1542–1556. 1089 indexed citations breakdown →
7.
Narimatsu, Masahiro, Rohit Bose, Melanie Pye, et al.. (2009). Regulation of Planar Cell Polarity by Smurf Ubiquitin Ligases. Cell. 137(2). 295–307. 268 indexed citations
8.
Luga, Valbona, Sarah McLean, Christine Le Roy, et al.. (2009). The extracellular domain of the TGFβ type II receptor regulates membrane raft partitioning. Biochemical Journal. 421(1). 119–131. 26 indexed citations
9.
Barrios‐Rodiles, Miriam, Kevin R. Brown, Barish Ozdamar, et al.. (2005). High-Throughput Mapping of a Dynamic Signaling Network in Mammalian Cells. Science. 307(5715). 1621–1625. 553 indexed citations breakdown →

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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