Matthildi Valianou

862 total citations
8 papers, 730 citations indexed

About

Matthildi Valianou is a scholar working on Oncology, Molecular Biology and Cell Biology. According to data from OpenAlex, Matthildi Valianou has authored 8 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Matthildi Valianou's work include Peptidase Inhibition and Analysis (4 papers), Protease and Inhibitor Mechanisms (3 papers) and Tuberous Sclerosis Complex Research (2 papers). Matthildi Valianou is often cited by papers focused on Peptidase Inhibition and Analysis (4 papers), Protease and Inhibitor Mechanisms (3 papers) and Tuberous Sclerosis Complex Research (2 papers). Matthildi Valianou collaborates with scholars based in United States and Greece. Matthildi Valianou's co-authors include Jonathan D. Cheng, Edna Cukierman, Louis M. Weiner, Hyung‐Ok Lee, Stefanie Mullins, Janusz Franco‐Barraza, André Rogatko, Roland L. Dunbrack, R. Katherine Alpaugh and David R. Khan and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Molecular Cancer Therapeutics.

In The Last Decade

Matthildi Valianou

8 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthildi Valianou United States	8	573	265	227	120	116	8	730
Christina Puri Austria	8	459 0.8×	280 1.1×	163 0.7×	53 0.4×	56 0.5×	8	674
B.K. Mohan Raj United States	7	554 1.0×	277 1.0×	289 1.3×	209 1.7×	56 0.5×	10	734
Claire Vennin Australia	17	588 1.0×	458 1.7×	231 1.0×	27 0.2×	176 1.5×	24	1.1k
Gabriel J. Villares United States	18	330 0.6×	666 2.5×	271 1.2×	36 0.3×	97 0.8×	19	1.2k
Begüm Erdoğan United States	6	493 0.9×	428 1.6×	296 1.3×	25 0.2×	203 1.8×	13	954
Michelle E. Lewallen United States	7	174 0.3×	347 1.3×	151 0.7×	47 0.4×	78 0.7×	8	543
Paola A. Guerrero United States	16	468 0.8×	442 1.7×	314 1.4×	25 0.2×	60 0.5×	19	804
Dirk Zboralski United States	13	503 0.9×	332 1.3×	119 0.5×	59 0.5×	23 0.2×	22	937
Chenmei Luo United States	12	257 0.4×	594 2.2×	116 0.5×	67 0.6×	67 0.6×	12	759
David P. Kodack United States	10	474 0.8×	354 1.3×	165 0.7×	19 0.2×	38 0.3×	13	1.0k

Countries citing papers authored by Matthildi Valianou

Since Specialization

Citations

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

Fields of papers citing papers by Matthildi Valianou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthildi Valianou

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

All Works

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8 of 8 papers shown

Valianou, Matthildi, Daniel L. Johnson, Peter Vogel, et al.. (2019). Rapalog resistance is associated with mesenchymal-type changes in Tsc2-null cells. Scientific Reports. 9(1). 3015–3015. 12 indexed citations

Valianou, Matthildi, et al.. (2015). Pharmacological inhibition of Polo-like kinase 1 (PLK1) by BI-2536 decreases the viability and survival of hamartin and tuberin deficient cells via induction of apoptosis and attenuation of autophagy. Cell Cycle. 14(3). 399–407. 24 indexed citations

Zhang, Jiping, Matthildi Valianou, Heidi H. Simmons, et al.. (2012). Identification of inhibitory scFv antibodies targeting fibroblast activation protein utilizing phage display functional screens. The FASEB Journal. 27(2). 581–589. 15 indexed citations

Lee, Hyung‐Ok, Stefanie Mullins, Janusz Franco‐Barraza, et al.. (2011). FAP-overexpressing fibroblasts produce an extracellular matrix that enhances invasive velocity and directionality of pancreatic cancer cells. BMC Cancer. 11(1). 245–245. 243 indexed citations

Castelló-Cros, Remedios, et al.. (2009). Staged stromal extracellular 3D matrices differentially regulate breast cancer cell responses through PI3K and beta1-integrins. BMC Cancer. 9(1). 94–94. 83 indexed citations

Quiros, Roderick M., Matthildi Valianou, Youngjoo Kwon, et al.. (2008). Ovarian normal and tumor-associated fibroblasts retain in vivo stromal characteristics in a 3-D matrix-dependent manner. Gynecologic Oncology. 110(1). 99–109. 43 indexed citations

Cheng, Jonathan D., Matthildi Valianou, Adrian A. Canutescu, et al.. (2005). Abrogation of fibroblast activation protein enzymatic activity attenuates tumor growth. Molecular Cancer Therapeutics. 4(3). 351–360. 112 indexed citations

Cheng, Jonathan D., Roland L. Dunbrack, Matthildi Valianou, et al.. (2002). Promotion of tumor growth by murine fibroblast activation protein, a serine protease, in an animal model.. PubMed. 62(16). 4767–72. 198 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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