Anna Rita Torella

847 total citations
8 papers, 714 citations indexed

About

Anna Rita Torella is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Anna Rita Torella has authored 8 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Oncology. Recurrent topics in Anna Rita Torella's work include Angiogenesis and VEGF in Cancer (4 papers), Neuroblastoma Research and Treatments (3 papers) and Cancer therapeutics and mechanisms (2 papers). Anna Rita Torella is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), Neuroblastoma Research and Treatments (3 papers) and Cancer therapeutics and mechanisms (2 papers). Anna Rita Torella collaborates with scholars based in Italy, Switzerland and Brazil. Anna Rita Torella's co-authors include Maurizio Pesce, Maurizio C. Capogrossi, Stefania Straino, Alessia Orlandi, Maria Grazia Iachininoto, Monica Napolitano, Elena De Falco, Daniele Porcelli, Paolo Biglioli and Silvia Truffa and has published in prestigious journals such as Blood, Circulation Research and Biochemical Pharmacology.

In The Last Decade

Anna Rita Torella

8 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Rita Torella Italy	6	444	226	180	164	122	8	714
Alessia Orlandi Italy	7	542 1.2×	252 1.1×	207 1.1×	188 1.1×	145 1.2×	9	885
Daniele Porcelli Italy	6	369 0.8×	138 0.6×	120 0.7×	170 1.0×	121 1.0×	6	631
Sophie Le Ricousse-Roussanne France	8	436 1.0×	153 0.7×	137 0.8×	118 0.7×	93 0.8×	8	592
Cheen P. Khoo United Kingdom	11	282 0.6×	216 1.0×	177 1.0×	90 0.5×	100 0.8×	16	614
Kyoung-Hwan Roh South Korea	11	309 0.7×	385 1.7×	151 0.8×	129 0.8×	124 1.0×	12	719
Bo‐Ra Son South Korea	6	211 0.5×	381 1.7×	174 1.0×	131 0.8×	94 0.8×	9	633
K Kluge Germany	5	660 1.5×	234 1.0×	167 0.9×	236 1.4×	159 1.3×	7	902
Aiping Lu United States	18	579 1.3×	279 1.2×	266 1.5×	142 0.9×	104 0.9×	45	1.1k
Fariba Chalajour Germany	8	486 1.1×	118 0.5×	159 0.9×	101 0.6×	94 0.8×	11	772
Barbara Toffoletto Italy	14	483 1.1×	184 0.8×	160 0.9×	199 1.2×	284 2.3×	21	890

Countries citing papers authored by Anna Rita Torella

Since Specialization

Citations

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

Fields of papers citing papers by Anna Rita Torella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Rita Torella. 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 Anna Rita Torella. The network helps show where Anna Rita Torella may publish in the future.

Co-authorship network of co-authors of Anna Rita Torella

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Rita Torella. A scholar is included among the top collaborators of Anna Rita Torella 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 Anna Rita Torella. Anna Rita Torella 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

1.

Meco, Daniela, Angela Maria Di Francesco, Federica Bucci, et al.. (2012). Preclinical evaluation of the novel 7-substituted camptothecin Namitecan (ST1968) in paediatric tumour models. Cancer Chemotherapy and Pharmacology. 70(6). 811–822. 9 indexed citations

2.

Francesco, Angela Maria Di, Paolo Ubezio, Anna Rita Torella, et al.. (2011). Enhanced cell cycle perturbation and apoptosis mediate the synergistic effects of ST1926 and ATRA in neuroblastoma preclinical models. Investigational New Drugs. 30(4). 1319–1330. 5 indexed citations

3.

Falco, Elena De, Daniele Avitabile, Pierangela Totta, et al.. (2009). Altered SDF-1-mediated differentiation of bone marrow-derived endothelial progenitor cells in diabetes mellitus. Journal of Cellular and Molecular Medicine. 13(9b). 3405–3414. 39 indexed citations

4.

Falco, Elena De, Daniele Avitabile, Pierangela Totta, et al.. (2009). Altered SDF-1-mediated differentiation of bone marrow-derived endothelial progenitor cells in diabetes mellitus. Journal of Cellular and Molecular Medicine. 13(9b). 3405–3414. 36 indexed citations

5.

Francesco, Angela Maria Di, Daniela Meco, Anna Rita Torella, et al.. (2006). The novel atypical retinoid ST1926 is active in ATRA resistant neuroblastoma cells acting by a different mechanism. Biochemical Pharmacology. 73(5). 643–655. 24 indexed citations

6.

Falco, Elena De, Daniele Porcelli, Anna Rita Torella, et al.. (2004). SDF-1 involvement in endothelial phenotype and ischemia-induced recruitment of bone marrow progenitor cells. Blood. 104(12). 3472–3482. 447 indexed citations

7.

Orlandi, Alessia, Maria Grazia Iachininoto, Anna Rita Torella, et al.. (2004). MYO/ENDOTHELIAL DIFFERENTIATION OF HUMAN UMBILICAL CORD BLOOD-DERIVED STEM CELLS IN ISCHEMIC LIMB TISSUES. Cardiovascular Pathology. 13(3). 11–11. 3 indexed citations

8.

Pesce, Maurizio, Alessia Orlandi, Maria Grazia Iachininoto, et al.. (2003). Myoendothelial Differentiation of Human Umbilical Cord Blood–Derived Stem Cells in Ischemic Limb Tissues. Circulation Research. 93(5). e51–62. 151 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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