Toma Tebaldi
Impact in
- Molecular Biology top 5%
- RNA modifications and cancer
- RNA Research and Splicing
- Single-cell and spatial transcriptomics
- RNA and protein synthesis mechanisms
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in
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- RNA Research and Splicing 27
- RNA modifications and cancer 25
- RNA and protein synthesis mechanisms 20
- RNA regulation and disease 4
- Protein Degradation and Inhibitors 3
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- Cancer-related molecular mechanisms research 6
- Co-authors
- Gabriella Viero (21 shared papers)Alessandro Quattrone (23 shared papers)Stephanie Halene (19 shared papers)Paola Bernabò (6 shared papers)Jiatong Li (1 shared paper)Graham Su (1 shared paper)Di Zhang (1 shared paper)Mingyu Yang (1 shared paper)
- Journals
- Blood (8 papers)Cell Reports (5 papers)Bioinformatics (4 papers)Nature Communications (3 papers)Nucleic Acids Research (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Toma Tebaldi
63 papers receiving 2.0k citations
Toma Tebaldi's Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.6k
- Cancer Research 342
- Genetics 192
- Biophysics 88
- Immunology 223
Countries citing papers authored by Toma Tebaldi
This map shows the geographic impact of Toma Tebaldi'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 Toma Tebaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toma Tebaldi more than expected).
Fields of papers citing papers by Toma Tebaldi
This network shows the impact of papers produced by Toma Tebaldi. 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 Toma Tebaldi. The network helps show where Toma Tebaldi may publish in the future.
Co-authors
The 25 scholars most cited alongside Toma Tebaldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | High-Spatial-Resolution Multi-Omics Sequencing via Deterministic Barcoding in Tissue Hit paper breakdown → | 2020 | 540 |
| 2 | 2018 | 123 | |
| 3 | 2012 | 91 | |
| 4 | 2017 | 85 | |
| 5 | 2015 | 73 | |
| 6 | 2012 | 72 | |
| 7 | 2020 | 62 | |
| 8 | 2014 | 57 | |
| 9 | 2018 | 57 | |
| 10 | 2016 | 56 | |
| 11 | 2015 | 52 | |
| 12 | 2014 | 50 | |
| 13 | 2019 | 48 | |
| 14 | 2018 | 47 | |
| 15 | 2018 | 42 | |
| 16 | 2022 | 40 | |
| 17 | 2013 | 37 | |
| 18 | 2018 | 36 | |
| 19 | 2015 | 31 | |
| 20 | 2022 | 30 |
About Toma Tebaldi
Toma Tebaldi is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Genetics, having authored 64 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (27 papers), RNA modifications and cancer (25 papers), RNA and protein synthesis mechanisms (20 papers), Cancer-related molecular mechanisms research (6 papers), RNA regulation and disease (4 papers), Cancer-related Molecular Pathways (4 papers), Protein Degradation and Inhibitors (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Cancer Research (342 citations), Genetics (192 citations), Biophysics (88 citations) and Immunology (223 citations). Toma Tebaldi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Gabriella Viero, Alessandro Quattrone, Stephanie Halene, Paola Bernabò, Jiatong Li, Graham Su, Di Zhang, Mingyu Yang, Zhiliang Bai and Dongjoo Kim. Their work appears in journals such as Blood, Cell Reports, Bioinformatics, Nature Communications and Nucleic Acids Research.
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.