Mara Binda

775 total citations
9 papers, 645 citations indexed

About

Mara Binda is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Mara Binda has authored 9 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Mara Binda's work include RNA Interference and Gene Delivery (4 papers), Cell death mechanisms and regulation (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Mara Binda is often cited by papers focused on RNA Interference and Gene Delivery (4 papers), Cell death mechanisms and regulation (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Mara Binda collaborates with scholars based in Italy, United States and United Kingdom. Mara Binda's co-authors include Nadia Zaffaroni, Maria Grazia Daidone, Marco Folini, Marzia Pennati, Paolo Gandellini, Roberta M. Moretti, Maurizio Colecchia, Nicole Longoni, Patrízia Limonta and R. Valdagni and has published in prestigious journals such as Cancer Research, Oncogene and Journal of Investigative Dermatology.

In The Last Decade

Mara Binda

9 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mara Binda Italy	9	552	281	151	52	50	9	645
Karolina Weiner‐Gorzel Ireland	5	416 0.8×	250 0.9×	180 1.2×	77 1.5×	50 1.0×	7	587
Ginevra Doglioni Belgium	5	371 0.7×	359 1.3×	195 1.3×	64 1.2×	62 1.2×	5	590
Miyako Kondoh Japan	9	462 0.8×	327 1.2×	173 1.1×	83 1.6×	69 1.4×	14	637
Honggang Yu China	16	400 0.7×	225 0.8×	152 1.0×	83 1.6×	72 1.4×	22	605
Valery Adorno-Cruz United States	6	324 0.6×	205 0.7×	208 1.4×	45 0.9×	59 1.2×	6	513
Chantal Heck Switzerland	3	288 0.5×	158 0.6×	195 1.3×	40 0.8×	52 1.0×	3	491
Mayumi Tamada Japan	5	450 0.8×	321 1.1×	219 1.5×	46 0.9×	52 1.0×	5	653
Alan Ka‐Lun Kai Hong Kong	6	361 0.7×	310 1.1×	125 0.8×	42 0.8×	52 1.0×	6	513
Hong Qi China	17	430 0.8×	198 0.7×	125 0.8×	61 1.2×	61 1.2×	29	597

Countries citing papers authored by Mara Binda

Since Specialization

Citations

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

Fields of papers citing papers by Mara Binda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mara Binda

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

All Works

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9 of 9 papers shown

Binda, Mara, et al.. (2011). Breast Cancer-Initiating Cells: Insights into Novel Treatment Strategies. Cancers. 3(1). 1405–1425. 9 indexed citations

Gasparini, Patrizia, Giulia Bertolini, Mara Binda, et al.. (2010). Molecular cytogenetic characterization of stem-like cancer cells isolated from established cell lines. Cancer Letters. 296(2). 206–215. 9 indexed citations

Gandellini, Paolo, Marco Folini, Nicole Longoni, et al.. (2009). miR-205 Exerts Tumor-Suppressive Functions in Human Prostate through Down-regulation of Protein Kinase Cε. Cancer Research. 69(6). 2287–2295. 293 indexed citations

Gandellini, Paolo, Marco Folini, Roberto Bandiera, et al.. (2007). Down-regulation of human telomerase reverse transcriptase through specific activation of RNAi pathway quickly results in cancer cell growth impairment. Biochemical Pharmacology. 73(11). 1703–1714. 36 indexed citations

Paduano, Francesco, Raffaella Villa, Marzia Pennati, et al.. (2006). Silencing of survivin gene by small interfering RNAs produces supra-additive growth suppression in combination with 17-allylamino-17-demethoxygeldanamycin in human prostate cancer cells. Molecular Cancer Therapeutics. 5(1). 179–186. 60 indexed citations

Pennati, Marzia, Mara Binda, Yuzhu Cheng, et al.. (2005). Potentiation of paclitaxel-induced apoptosis by the novel cyclin-dependent kinase inhibitor NU6140: a possible role for survivin down-regulation. Molecular Cancer Therapeutics. 4(9). 1328–1337. 59 indexed citations

Pennati, Marzia, Mara Binda, Gennaro Colella, et al.. (2004). Ribozyme-mediated inhibition of survivin expression increases spontaneous and drug-induced apoptosis and decreases the tumorigenic potential of human prostate cancer cells. Oncogene. 23(2). 386–394. 74 indexed citations

Pennati, Marzia, Mara Binda, Gennaro Colella, et al.. (2003). Radiosensitization of Human Melanoma Cells by Ribozyme-Mediated Inhibition of Survivin Expression. Journal of Investigative Dermatology. 120(4). 648–654. 84 indexed citations

Orlandi, L., Mara Binda, Marco Folini, et al.. (2002). Ribozyme‐mediated inhibition of PKCα sensitizes androgen‐independent human prostate cancer cells to cisplatin‐induced apoptosis. The Prostate. 54(2). 133–143. 21 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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