Anna Tommasi

557 total citations
17 papers, 416 citations indexed

About

Anna Tommasi is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Anna Tommasi has authored 17 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Anna Tommasi's work include CAR-T cell therapy research (4 papers), CRISPR and Genetic Engineering (3 papers) and Carcinogens and Genotoxicity Assessment (2 papers). Anna Tommasi is often cited by papers focused on CAR-T cell therapy research (4 papers), CRISPR and Genetic Engineering (3 papers) and Carcinogens and Genotoxicity Assessment (2 papers). Anna Tommasi collaborates with scholars based in Italy, United Kingdom and United States. Anna Tommasi's co-authors include Antonella Russo, Nazif Alic, Susan Broughton, Tomoatsu Ikeya, Ernst Hafen, Timothy M. Bass, Giovanna Vinti, Yasmine Driege, Linda Partridge and Cathy Slack and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Biochemical Pharmacology.

In The Last Decade

Anna Tommasi

17 papers receiving 405 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 Tommasi Italy 10 116 115 75 72 69 17 416
Kenneth A. Wilson United States 11 56 0.5× 140 1.2× 124 1.7× 31 0.4× 20 0.3× 23 430
William E. Barry United States 8 151 1.3× 141 1.2× 92 1.2× 15 0.2× 20 0.3× 10 528
Gregoriy A. Dokshin United States 9 38 0.3× 532 4.6× 187 2.5× 32 0.4× 47 0.7× 10 726
Tsun-Kai Chang United States 7 34 0.3× 293 2.5× 17 0.2× 41 0.6× 42 0.6× 7 537
Ying‐Chen Claire Hou United States 8 29 0.3× 191 1.7× 13 0.2× 24 0.3× 40 0.6× 12 383
Misako Satoh Japan 13 43 0.4× 395 3.4× 20 0.3× 47 0.7× 48 0.7× 21 561
Kongyan Niu China 9 18 0.2× 267 2.3× 48 0.6× 24 0.3× 45 0.7× 15 462
Jin‐Na Min United States 10 35 0.3× 424 3.7× 67 0.9× 24 0.3× 24 0.3× 11 521
Christopher M. Gallo United States 7 30 0.3× 490 4.3× 189 2.5× 68 0.9× 53 0.8× 9 696
Serge Vicaire France 11 43 0.4× 403 3.5× 15 0.2× 31 0.4× 39 0.6× 12 513

Countries citing papers authored by Anna Tommasi

Since Specialization
Citations

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

Fields of papers citing papers by Anna Tommasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Tommasi

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

All Works

17 of 17 papers shown
1.
Forsberg, Matthew H., Katherine P. Mueller, Anna Tommasi, et al.. (2025). Label-free metabolic imaging monitors the fitness of chimeric antigen receptor T cells. Nature Biomedical Engineering. 1 indexed citations
2.
Tommasi, Anna, Denis Arutyunov, James A. Williams, et al.. (2025). Efficient nonviral integration of large transgenes into human T cells using Cas9-CLIPT. Molecular Therapy — Methods & Clinical Development. 33(1). 101437–101437. 4 indexed citations
3.
4.
Forsberg, Matthew H., Anna Tommasi, Jolanta Vidugirienė, et al.. (2024). Metabolic priming of GD2 TRAC-CAR T cells during manufacturing promotes memory phenotypes while enhancing persistence. Molecular Therapy — Methods & Clinical Development. 32(2). 101249–101249. 13 indexed citations
5.
Tommasi, Anna, et al.. (2024). Advances in manufacturing chimeric antigen receptor immune cell therapies. Seminars in Immunopathology. 46(5). 12–12. 6 indexed citations
6.
Roy, Rajat, Francesco Mauri, Xinxue Liu, et al.. (2018). Targeting autophagy sensitises lung cancer cells to Src family kinase inhibitors. Oncotarget. 9(44). 27346–27362. 21 indexed citations
7.
Fisher, Rosemary A., Anna Tommasi, Dee Short, et al.. (2014). Clinical utility of selective molecular genotyping for diagnosis of partial hydatidiform mole; a retrospective study from a regional trophoblastic disease unit. Journal of Clinical Pathology. 67(11). 980–984. 30 indexed citations
8.
Logie, Lisa, Antonio J. Ruiz‐Alcaraz, Christopher J. Schofield, et al.. (2010). Generation, validation and humanisation of a novel insulin resistant cell model. Biochemical Pharmacology. 80(7). 1042–1049. 3 indexed citations
9.
Burch, Lindsay, Louise A. Donnelly, Alex S. F. Doney, et al.. (2010). Peroxisome Proliferator-Activated Receptor-δ Genotype Influences Metabolic Phenotype and May Influence Lipid Response to Statin Therapy in Humans: A Genetics of Diabetes Audit and Research Tayside Study. The Journal of Clinical Endocrinology & Metabolism. 95(4). 1830–1837. 22 indexed citations
10.
Broughton, Susan, Nazif Alic, Cathy Slack, et al.. (2008). Reduction of DILP2 in Drosophila Triages a Metabolic Phenotype from Lifespan Revealing Redundancy and Compensation among DILPs. PLoS ONE. 3(11). e3721–e3721. 158 indexed citations
11.
Martinelli, Ana de Lourdes Candolo, Susanne Knapp, Quentin M. Anstee, et al.. (2007). Effect of a thrombin receptor (protease‐activated receptor 1,PAR‐1) gene polymorphism in chronic hepatitis C liver fibrosis. Journal of Gastroenterology and Hepatology. 23(9). 1403–1409. 29 indexed citations
12.
Floreani, Annarosa, I. Carderi, Delia M. Paternoster, et al.. (2006). Intrahepatic cholestasis of pregnancy: three novel MDR3 gene mutations. Alimentary Pharmacology & Therapeutics. 23(11). 1649–1653. 52 indexed citations
13.
Tommasi, Anna, Paolo Fabris, I. Carderi, et al.. (2006). Lack of Higher Frequency of the Chemokine Receptor 5-??32/??32 Genotype in Hepatitis C. Journal of Clinical Gastroenterology. 40(5). 440–443. 4 indexed citations
14.
Tommasi, Anna, et al.. (1998). Evaluation and characterization of micronuclei in early spermatids of mice exposed to 1,3-butadiene. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 397(1). 45–54. 21 indexed citations
15.
Russo, Antonella, et al.. (1997). Micronucleus induction in germ and somatic cells of the mouse after exposure to the butadiene metabolites diepoxybutane and epoxybutene. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 390(1-2). 129–139. 23 indexed citations
16.
Russo, Antonella, Anna Tommasi, & L. Renzi. (1996). Detection of minor and major satellite DNA in cytokinesis-blocked mouse splenocytes by a PRINS tandem labelling approach. Mutagenesis. 11(6). 547–552. 8 indexed citations
17.
Russo, Antonella, Giovanna Priante, & Anna Tommasi. (1996). PRINS localization of centromeres and telomeres in micronuclei indicates that in mouse splenocytes chromatid non-disjunction is a major mechanism of aneuploidy. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 372(2). 173–180. 20 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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