Tommaso Tabaglio

1.1k total citations
9 papers, 463 citations indexed

About

Tommaso Tabaglio is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Tommaso Tabaglio has authored 9 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Immunology. Recurrent topics in Tommaso Tabaglio's work include RNA Research and Splicing (3 papers), RNA modifications and cancer (2 papers) and CAR-T cell therapy research (2 papers). Tommaso Tabaglio is often cited by papers focused on RNA Research and Splicing (3 papers), RNA modifications and cancer (2 papers) and CAR-T cell therapy research (2 papers). Tommaso Tabaglio collaborates with scholars based in United States, Singapore and Italy. Tommaso Tabaglio's co-authors include Ernesto Guccione, Aristotelis Tsirigos, Beatriz Sánchez‐Sendra, Verónica Dávalos, Carlos Monteagudo, Varshini Vasudevaraja, Pamela Wu, Diana Argibay, Douglas Hanniford and Rana S. Moubarak and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Cancer Cell.

In The Last Decade

Tommaso Tabaglio

9 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tommaso Tabaglio United States 6 413 210 47 28 18 9 463
Xiangdong Xu China 10 259 0.6× 180 0.9× 35 0.7× 49 1.8× 31 1.7× 11 357
Y H Gao China 3 305 0.7× 173 0.8× 56 1.2× 29 1.0× 24 1.3× 7 386
Maxim Mogilevsky Israel 9 342 0.8× 133 0.6× 52 1.1× 40 1.4× 9 0.5× 9 423
Yina Qiao China 7 324 0.8× 239 1.1× 88 1.9× 37 1.3× 30 1.7× 8 415
Brian McCue United States 5 389 0.9× 340 1.6× 37 0.8× 18 0.6× 25 1.4× 8 472
Jian Shi China 11 271 0.7× 257 1.2× 45 1.0× 42 1.5× 40 2.2× 25 376
Yifan Zeng China 8 277 0.7× 142 0.7× 73 1.6× 26 0.9× 36 2.0× 17 377
Miaomiao Bi China 13 211 0.5× 140 0.7× 53 1.1× 24 0.9× 20 1.1× 20 296
Mingchen Zhu China 11 374 0.9× 262 1.2× 76 1.6× 58 2.1× 23 1.3× 26 496

Countries citing papers authored by Tommaso Tabaglio

Since Specialization
Citations

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

Fields of papers citing papers by Tommaso Tabaglio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tommaso Tabaglio

This figure shows the co-authorship network connecting the top 25 collaborators of Tommaso Tabaglio. A scholar is included among the top collaborators of Tommaso Tabaglio 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 Tommaso Tabaglio. Tommaso Tabaglio 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.
Ow, Jin Rong, Eri Imagawa, Feng Chen, et al.. (2025). Developing splice-switching oligonucleotides for urea cycle disorder using an integrated diagnostic and therapeutic platform. Journal of Hepatology. 83(2). 411–425. 2 indexed citations
2.
Tabaglio, Tommaso, Jin Rong Ow, Pan Sun, et al.. (2025). Unveiling sequence-agnostic mixed-chemical modification patterns for splice-switching oligonucleotides using the NATURA platform. Molecular Therapy — Nucleic Acids. 36(1). 102422–102422. 2 indexed citations
3.
Wang, Loo Chien, Hiromi W.L. Koh, Tianyun Zhao, et al.. (2024). Hepatocyte-intrinsic SMN deficiency drives metabolic dysfunction and liver steatosis in spinal muscular atrophy. Journal of Clinical Investigation. 134(12). 8 indexed citations
4.
Lam, Maxine, Jose Antonio Reales‐Calderón, Jin Rong Ow, et al.. (2023). G9a/GLP inhibition during ex vivo lymphocyte expansion increases in vivo cytotoxicity of engineered T cells against hepatocellular carcinoma. Nature Communications. 14(1). 563–563. 14 indexed citations
5.
Ceccarello, Erica, Tommaso Tabaglio, Sarene Koh, et al.. (2021). Splice-Switching Antisense Oligonucleotides as a Targeted Intrinsic Engineering Tool for Generating Armored Redirected T Cells. Nucleic Acid Therapeutics. 31(2). 145–154. 5 indexed citations
6.
Hanniford, Douglas, Alcida Karz, Maria Gabriela Berzoti-Coelho, et al.. (2020). Epigenetic Silencing of CDR1as Drives IGF2BP3-Mediated Melanoma Invasion and Metastasis. Cancer Cell. 37(1). 55–70.e15. 237 indexed citations
7.
Musiani, Daniele, Enrico Massignani, Li‐Ling Wu, et al.. (2019). Proteomics profiling of arginine methylation defines PRMT5 substrate specificity. Science Signaling. 12(575). 122 indexed citations
8.
Tabaglio, Tommaso, Diana Low, Pierre-Alexis Goy, et al.. (2018). MBNL1 alternative splicing isoforms play opposing roles in cancer. Life Science Alliance. 1(5). e201800157–e201800157. 42 indexed citations
9.
Paraboschi, Elvezia Maria, Valeria Rimoldi, Giulia Soldà, et al.. (2014). Functional variations modulating PRKCA expression and alternative splicing predispose to multiple sclerosis. Human Molecular Genetics. 23(25). 6746–6761. 31 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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