Toma Tebaldi
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Molecular Biology top 5%
- RNA modifications and cancer
- RNA Research and Splicing
- Single-cell and spatial transcriptomics
- RNA and protein synthesis mechanisms
Papers in
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- RNA modifications and cancer 28
- RNA Research and Splicing 26
- RNA and protein synthesis mechanisms 17
- RNA regulation and disease 4
- Single-cell and spatial transcriptomics 3
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- Cancer-related molecular mechanisms research 7
- Co-authors
- Gabriella Viero (21 shared papers)Alessandro Quattrone (23 shared papers)Stephanie Halene (14 shared papers)Paola Bernabò (6 shared papers)Dongjoo Kim (2 shared papers)Yang Xiao (1 shared paper)Jiatong Li (1 shared paper)Mingyu Yang (1 shared paper)
- Journals
- Cell Reports (6 papers)Nature Communications (6 papers)Bioinformatics (4 papers)Blood (4 papers)Nucleic Acids Research (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Toma Tebaldi
70 papers receiving 2.7k citations
Toma Tebaldi's Hit Papers
Peers
Comparison fields: 5 of 118
- Cancer Research 444
- Molecular Biology 1.9k
- Genetics 234
- Biophysics 101
- Immunology 322
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 72 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 | 637 |
| 2 | 2018 | 150 | |
| 3 | 2020 | 150 | |
| 4 | 2012 | 104 | |
| 5 | 2017 | 95 | |
| 6 | 2015 | 78 | |
| 7 | 2012 | 74 | |
| 8 | 2018 | 72 | |
| 9 | 2019 | 70 | |
| 10 | 2020 | 70 | |
| 11 | 2016 | 66 | |
| 12 | 2019 | 62 | |
| 13 | 2014 | 61 | |
| 14 | 2018 | 60 | |
| 15 | 2015 | 54 | |
| 16 | 2022 | 52 | |
| 17 | 2014 | 51 | |
| 18 | 2022 | 50 | |
| 19 | 2023 | 50 | |
| 20 | 2018 | 45 |
About Toma Tebaldi
Toma Tebaldi is a scholar working on Molecular Biology, Cancer Research, Immunology, Hematology and Genetics, having authored 72 papers that have together received 2.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (28 papers), RNA Research and Splicing (26 papers), RNA and protein synthesis mechanisms (17 papers), Cancer-related molecular mechanisms research (7 papers), Acute Myeloid Leukemia Research (4 papers), RNA regulation and disease (4 papers), Single-cell and spatial transcriptomics (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). The work is most often cited by research in Cancer Research (444 citations), Molecular Biology (1.9k citations), Genetics (234 citations), Biophysics (101 citations) and Immunology (322 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, Dongjoo Kim, Yang Xiao, Jiatong Li, Mingyu Yang, Yang Liu and Rong Liang Fan. Their work appears in journals such as Cell Reports, Nature Communications, Bioinformatics, Blood 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.