Fabio Turatti

566 total citations
9 papers, 468 citations indexed

About

Fabio Turatti is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Fabio Turatti has authored 9 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in Fabio Turatti's work include Monoclonal and Polyclonal Antibodies Research (5 papers), CAR-T cell therapy research (3 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). Fabio Turatti is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), CAR-T cell therapy research (3 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). Fabio Turatti collaborates with scholars based in Italy, United States and Australia. Fabio Turatti's co-authors include Kim L. Wark, Frank Caruso, Alexander N. Zelikin, Angus P. R. Johnston, Alisa L. Becker, Silvana Canevari, Delia Mezzanzanica, Mariangela Figini, Paola Alberti and Emanuela Balladore and has published in prestigious journals such as ACS Nano, Oncogene and Clinical Cancer Research.

In The Last Decade

Fabio Turatti

9 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabio Turatti Italy 9 191 149 101 84 79 9 468
Adam Drake United States 12 191 1.0× 155 1.0× 32 0.3× 38 0.5× 35 0.4× 18 586
Joshua T. Byers United States 7 217 1.1× 192 1.3× 143 1.4× 134 1.6× 30 0.4× 19 711
Haoheng Yan United States 11 341 1.8× 201 1.3× 23 0.2× 158 1.9× 90 1.1× 13 681
Shu Qin Liu Japan 14 114 0.6× 114 0.8× 78 0.8× 148 1.8× 18 0.2× 30 636
Parisa Yousefpour United States 10 309 1.6× 147 1.0× 26 0.3× 222 2.6× 42 0.5× 18 655
D. Christopher Radford United States 12 232 1.2× 111 0.7× 23 0.2× 242 2.9× 51 0.6× 15 586
Christina L. Parker United States 8 218 1.1× 38 0.3× 35 0.3× 178 2.1× 48 0.6× 11 428
Roun Heo South Korea 11 282 1.5× 49 0.3× 26 0.3× 226 2.7× 56 0.7× 14 637
Rico C. Gunawan United States 8 206 1.1× 37 0.2× 140 1.4× 116 1.4× 122 1.5× 15 536
Eric M. Mastria United States 8 149 0.8× 44 0.3× 42 0.4× 236 2.8× 36 0.5× 12 499

Countries citing papers authored by Fabio Turatti

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Turatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Turatti

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

All Works

9 of 9 papers shown
1.
Mezzanzanica, Delia, et al.. (2013). Redirection of T-Cell Effector Functions for Cancer Therapy: Bispecific Antibodies and Chimeric Antigen Receptors. Future Oncology. 9(4). 527–539. 25 indexed citations
3.
Li, Lin, Fabio Turatti, Desiree Crow, et al.. (2010). Monodispersed DOTA-PEG–Conjugated Anti-TAG-72 Diabody Has Low Kidney Uptake and High Tumor-to-Blood Ratios Resulting in Improved64Cu PET. Journal of Nuclear Medicine. 51(7). 1139–1146. 26 indexed citations
4.
Turatti, Fabio, Mariangela Figini, Emanuela Balladore, et al.. (2007). Redirected Activity of Human Antitumor Chimeric Immune Receptors is Governed by Antigen and Receptor Expression Levels and Affinity of Interaction. Journal of Immunotherapy. 30(7). 684–693. 63 indexed citations
5.
Zelikin, Alexander N., Alisa L. Becker, Angus P. R. Johnston, et al.. (2007). A General Approach for DNA Encapsulation in Degradable Polymer Microcapsules. ACS Nano. 1(1). 63–69. 173 indexed citations
6.
Turatti, Fabio, Mariangela Figini, Paola Alberti, et al.. (2004). Highly efficient redirected anti-tumor activity of human lymphocytes transduced with a completely human chimeric immune receptor. The Journal of Gene Medicine. 7(2). 158–170. 20 indexed citations
7.
Cecco, Loris De, Luigi Marchionni, Manuela Gariboldi, et al.. (2004). Gene expression profiling of advanced ovarian cancer: characterization of a molecular signature involving fibroblast growth factor 2. Oncogene. 23(49). 8171–8183. 70 indexed citations
8.
Mezzanzanica, Delia, Emanuela Balladore, Fabio Turatti, et al.. (2004). CD95-Mediated Apoptosis Is Impaired at Receptor Level by Cellular FLICE-Inhibitory Protein (Long Form) in Wild-Type p53 Human Ovarian Carcinoma. Clinical Cancer Research. 10(15). 5202–5214. 48 indexed citations
9.
Turatti, Fabio, Delia Mezzanzanica, Elena Nardini, et al.. (2001). Production and validation of the pharmacokinetics of a single-chain Fv fragment of the MGR6 antibody for targeting of tumors expressing HER-2. Cancer Immunology Immunotherapy. 49(12). 679–686. 8 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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