Anna Antenucci

36.2k total citations
18 papers, 446 citations indexed

About

Anna Antenucci is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Anna Antenucci has authored 18 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Anna Antenucci's work include Chronic Lymphocytic Leukemia Research (4 papers), MicroRNA in disease regulation (3 papers) and Circular RNAs in diseases (3 papers). Anna Antenucci is often cited by papers focused on Chronic Lymphocytic Leukemia Research (4 papers), MicroRNA in disease regulation (3 papers) and Circular RNAs in diseases (3 papers). Anna Antenucci collaborates with scholars based in Italy, United States and Malaysia. Anna Antenucci's co-authors include Laura Conti, Alessandra Drusco, Nicola Zanesi, Arianna Bottoni, Mario Acunzo, Hansjüerg Alder, Isabella Sperduti, C. M. Carapella, Mariantonia Carosi and Stefan Costinean and has published in prestigious journals such as PLoS ONE, Journal of Cellular Physiology and British Journal of Haematology.

In The Last Decade

Anna Antenucci

18 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Antenucci Italy 11 226 222 88 79 38 18 446
Dong Wu China 14 227 1.0× 80 0.4× 129 1.5× 67 0.8× 29 0.8× 39 545
Jianfeng Wu China 12 214 0.9× 126 0.6× 52 0.6× 107 1.4× 15 0.4× 43 520
Thelma R. Tennant United States 8 229 1.0× 73 0.3× 72 0.8× 60 0.8× 34 0.9× 12 460
Takuma Ishizaki Japan 11 193 0.9× 87 0.4× 54 0.6× 23 0.3× 32 0.8× 45 414
Guichuan Lai China 9 181 0.8× 125 0.6× 27 0.3× 162 2.1× 24 0.6× 23 405
Yohann Schmitt France 8 91 0.4× 72 0.3× 178 2.0× 65 0.8× 16 0.4× 12 339
PJ van Diest Netherlands 4 235 1.0× 226 1.0× 19 0.2× 36 0.5× 20 0.5× 13 450
Harunori Nakashima Japan 8 271 1.2× 98 0.4× 28 0.3× 304 3.8× 61 1.6× 15 594
Suzanne Bertrand France 10 207 0.9× 33 0.1× 49 0.6× 44 0.6× 25 0.7× 13 344
John Blondal Canada 8 193 0.9× 165 0.7× 22 0.3× 52 0.7× 104 2.7× 10 594

Countries citing papers authored by Anna Antenucci

Since Specialization
Citations

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

Fields of papers citing papers by Anna Antenucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Antenucci

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

All Works

18 of 18 papers shown
1.
Drusco, Alessandra, Paolo Fadda, Giovanni Nigita, et al.. (2018). Circulating Micrornas Predict Survival of Patients with Tumors of Glial Origin. EBioMedicine. 30. 105–112. 24 indexed citations
2.
Pace, Andrea, Chiara Mandoj, Anna Antenucci, et al.. (2018). A predictive value of von Willebrand factor for early response to Bevacizumab therapy in recurrent glioma. Journal of Neuro-Oncology. 138(3). 527–535. 10 indexed citations
3.
Terrenato, Irene, Francesca Sperati, M Caterino, et al.. (2017). Iodixanol versus iopromide in cancer patients: Evidence from a randomized clinical trial. Journal of Cellular Physiology. 233(3). 2572–2580. 9 indexed citations
4.
Molica, Stefano, Giovanna Digiesi, Giovanni D’Arena, et al.. (2016). Serum levels of soluble calreticulin predict for time to first treatment in early chronic lymphocytic leukaemia. British Journal of Haematology. 175(5). 983–985. 4 indexed citations
5.
Piludu, Francesca, Simona Marzi, Andrea Pace, et al.. (2015). Early biomarkers from dynamic contrast-enhanced magnetic resonance imaging to predict the response to antiangiogenic therapy in high-grade gliomas. Neuroradiology. 57(12). 1269–1280. 31 indexed citations
6.
Merola, Roberta, Luigi Tomao, Anna Antenucci, et al.. (2015). PCA3 in prostate cancer and tumor aggressiveness detection on 407 high-risk patients: a National Cancer Institute experience. Journal of Experimental & Clinical Cancer Research. 34(1). 15–15. 71 indexed citations
7.
Tomao, Luigi, et al.. (2015). Prolungamento del tempo di tromboplastina parziale attivata in una paziente asintomatica: La carenza di precallicreina. 39(4). 3 indexed citations
8.
Drusco, Alessandra, Arianna Bottoni, Alessandro Laganà, et al.. (2015). A differentially expressed set of microRNAs in cerebro-spinal fluid (CSF) can diagnose CNS malignancies. Oncotarget. 6(25). 20829–20839. 84 indexed citations
9.
Drusco, Alessandra, Gerard J. Nuovo, Nicola Zanesi, et al.. (2014). MicroRNA Profiles Discriminate among Colon Cancer Metastasis. PLoS ONE. 9(6). e96670–e96670. 96 indexed citations
10.
Sofra, Maria, Anna Antenucci, Michele Gallucci, et al.. (2014). Perioperative changes in pro and anticoagulant factors in prostate cancer patients undergoing laparoscopic and robotic radical prostatectomy with different anaesthetic techniques. Journal of Experimental & Clinical Cancer Research. 33(1). 63–63. 3 indexed citations
11.
Schiavetti, Amalia, Heather P. McDowell, Laura Conti, et al.. (2012). Vascular endothelial growth factor serum levels in children with newly diagnosed rhabdomyosarcoma. Pediatric Blood & Cancer. 59(4). 627–630. 8 indexed citations
12.
Schiavetti, Amalia, et al.. (2012). Circulating vascular endothelial growth factor in childhood solid tumors: plasma and serum measurements.. PubMed. 32(8). 3565–9. 5 indexed citations
13.
Molica, Stefano, Giovanna Digiesi, Anna Antenucci, et al.. (2011). Vitamin D insufficiency predicts time to first treatment (TFT) in early chronic lymphocytic leukemia (CLL). Leukemia Research. 36(4). 443–447. 21 indexed citations
14.
Drusco, Alessandra, Yuri Pekarsky, Stefan Costinean, et al.. (2010). Common Fragile Site Tumor Suppressor Genes and Corresponding MouseModels of Cancer. BioMed Research International. 2011(1). 984505–984505. 17 indexed citations
15.
Molica, Stefano, Giovanna Digiesi, C Battaglia, et al.. (2010). Baff serum level predicts time to first treatment in early chronic lymphocytic leukemia. European Journal Of Haematology. 85(4). 314–320. 20 indexed citations
16.
Molica, Stefano, Giovanna Digiesi, Giovanna Cutrona, et al.. (2009). Serum level of CD26 predicts time to first treatment in early B‐chronic lymphocytic leukemia. European Journal Of Haematology. 83(3). 208–214. 11 indexed citations
17.
Gandolfo, G.M., et al.. (2003). Prevalence of infections by hepatitis A, B, C and E viruses in two different socioeconomic groups of children from Santa Cruz, Bolivia. Medicina Clínica. 120(19). 725–727. 16 indexed citations
18.

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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