Daniela Posca

853 total citations
8 papers, 640 citations indexed

About

Daniela Posca is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Daniela Posca has authored 8 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Daniela Posca's work include Cancer-related Molecular Pathways (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Thyroid Cancer Diagnosis and Treatment (3 papers). Daniela Posca is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Thyroid Cancer Diagnosis and Treatment (3 papers). Daniela Posca collaborates with scholars based in Italy, Germany and United States. Daniela Posca's co-authors include Giancarlo Troncone, Mario Vitale, Maria Rosaria Sapio, Gianfranco Fenzi, Luisa Castagnoli, Alessandra Silvestri, Guido Rossi, S Pirro, Gianni Cesareni and Paolo Limone and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and American Journal Of Pathology.

In The Last Decade

Daniela Posca

8 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniela Posca Italy	7	373	247	129	99	84	8	640
Per-Erik Strömstedt Sweden	11	270 0.7×	94 0.4×	62 0.5×	58 0.6×	179 2.1×	13	445
Heung Kyu Ro South Korea	13	330 0.9×	205 0.8×	215 1.7×	80 0.8×	44 0.5×	26	755
Ylenia Perone Italy	8	397 1.1×	205 0.8×	120 0.9×	129 1.3×	44 0.5×	11	819
Francine Sirois Canada	14	266 0.7×	107 0.4×	56 0.4×	345 3.5×	67 0.8×	22	694
Richard Lawn United States	12	596 1.6×	327 1.3×	103 0.8×	606 6.1×	147 1.8×	17	1.2k
J B Swaney United States	15	425 1.1×	354 1.4×	62 0.5×	349 3.5×	33 0.4×	20	808
Renee E. Vickman United States	11	202 0.5×	55 0.2×	104 0.8×	56 0.6×	28 0.3×	17	465
P.I. Lundmo Norway	11	300 0.8×	170 0.7×	86 0.7×	45 0.5×	70 0.8×	22	755
Alexander D. Dergunov Russia	14	298 0.8×	201 0.8×	63 0.5×	282 2.8×	21 0.3×	64	626
Chenghai Zhang China	16	275 0.7×	48 0.2×	189 1.5×	170 1.7×	84 1.0×	63	740

Countries citing papers authored by Daniela Posca

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Posca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Posca

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Posca. A scholar is included among the top collaborators of Daniela Posca 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 Daniela Posca. Daniela Posca 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

Sacco, Francesca, Alessandra Silvestri, Daniela Posca, et al.. (2016). Deep Proteomics of Breast Cancer Cells Reveals that Metformin Rewires Signaling Networks Away from a Pro-growth State. Cell Systems. 2(3). 159–171. 68 indexed citations

Silvestri, Alessandra, Francesco Palumbo, Daniela Posca, et al.. (2015). Metformin Induces Apoptosis and Downregulates Pyruvate Kinase M2 in Breast Cancer Cells Only When Grown in Nutrient-Poor Conditions. PLoS ONE. 10(8). e0136250–e0136250. 40 indexed citations

Perfetto, Livia, Leonardo Briganti, Alberto Calderone, et al.. (2015). SIGNOR: a database of causal relationships between biological entities. Nucleic Acids Research. 44(D1). D548–D554. 167 indexed citations

Silvestri, Alessandra, et al.. (2014). 299: Metformin induces apoptosis and dowregulates pyruvate kinase M2 in MCF7 breast cancer cells only when grown in nutrient-poor conditions. European Journal of Cancer. 50. S71–S71. 1 indexed citations

Goretsky, Tatiana, Ramanarao Dirisina, Preetika Sinh, et al.. (2012). p53 Mediates TNF-Induced Epithelial Cell Apoptosis in IBD. American Journal Of Pathology. 181(4). 1306–1315. 83 indexed citations

Sapio, Maria Rosaria, Anna Guerra, Daniela Posca, et al.. (2007). Combined analysis of galectin-3 and BRAFV600E improves the accuracy of fine-needle aspiration biopsy with cytological findings suspicious for papillary thyroid carcinoma. Endocrine Related Cancer. 14(4). 1089–1097. 70 indexed citations

Sapio, Maria Rosaria, Daniela Posca, Angelo Raggioli, et al.. (2007). Detection of RET/PTC, TRK and BRAF mutations in preoperative diagnosis of thyroid nodules with indeterminate cytological findings. Clinical Endocrinology. 66(5). 678–683. 120 indexed citations

Sapio, Maria Rosaria, Daniela Posca, Giancarlo Troncone, et al.. (2006). Detection of BRAF mutation in thyroid papillary carcinomas by mutant allele-specific PCR amplification (MASA). European Journal of Endocrinology. 154(2). 341–348. 91 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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