Thomas Sbarrato

1.1k citations
14 papers · 441 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • PI3K/AKT/mTOR signaling in cancer

Papers in

    • RNA Research and Splicing 3
    • RNA and protein synthesis mechanisms 3
    • Cancer Immunotherapy and Biomarkers 2
    • Colorectal Cancer Treatments and Studies 1

Thomas Sbarrato

13 papers receiving 434 citations

Peers

Thomas Sbarrato
Comparison fields: 5 of 68
  • Cancer Research 64
  • Molecular Biology 273
  • Immunology 76
  • Oncology 94
  • Critical Care and Intensive Care Medicine 15
Replace Sonal Datta with:
Sonal Datta India
Natalia Pinello Australia
Ilias Masouris Germany
Justine Pascual Switzerland
Baofeng Jin China
Kunhua Hu China
Kyu‐Seon Oh United States
Gemma Nock United Kingdom
Shinji Yano Japan
Tim Van Acker United Kingdom
Thomas Sbarrato relative to Sonal Datta India Sonal Datta's profile →
Citations per field
00.5×6.9×
Sonal Datta · 1×
Citations per year

Countries citing papers authored by Thomas Sbarrato

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Sbarrato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Sbarrato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Sbarrato Line = papers co-authored together Thomas Sbarrato links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2015116
2 201755
3 201352
4 201849
5 201745
6 202044
7 201827
8 201625
9 201920
10 20172
11 20222
12 20142
13 20201
14 20181

About Thomas Sbarrato

Thomas Sbarrato is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Epidemiology and Cell Biology, having authored 14 papers that have together received 441 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), Mycobacterium research and diagnosis (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Cell Image Analysis Techniques (1 paper) and Quinazolinone synthesis and applications (1 paper). The work is most often cited by research in Cancer Research (64 citations), Molecular Biology (273 citations), Immunology (76 citations), Oncology (94 citations) and Critical Care and Intensive Care Medicine (15 citations). Thomas Sbarrato has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Anne E. Willis, John R. P. Knight, Martin Bushell, Kate Dudek, Jodi L. Miller, Ernest Turro, Robert B. Russell, Fiona M. Blows, Paul D.P. Pharoah and Stefan Gräf. Their work appears in journals such as Cell Death and Disease, Proceedings of the National Academy of Sciences, Journal of Clinical Oncology, Current Biology and RNA.

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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