Luca Quagliata
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 21
- Cancer-related molecular mechanisms research 11
- Cancer, Hypoxia, and Metabolism 6
- Molecular Biology top 5%
- Angiogenesis and VEGF in Cancer 5
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 8
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis 7
- Immunology top 5%
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- Lung Cancer Treatments and Mutations 8
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- Genetic factors in colorectal cancer 8
- Co-authors
- Luigi TerraccianoSalvatore PiscuoglioMatthias S. MatterMarkus H. HeimCharlotte K.Y. NgLuigi TornilloTujana BoldanovaCristina Quintavalle
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Luca Quagliata
72 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 1.4k
- Molecular Biology 1.7k
- Oncology 640
- Hepatology 183
- Immunology 446
Countries citing papers authored by Luca Quagliata
This map shows the geographic impact of Luca Quagliata'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 Luca Quagliata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Quagliata more than expected).
Fields of papers citing papers by Luca Quagliata
This network shows the impact of papers produced by Luca Quagliata. 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 Luca Quagliata. The network helps show where Luca Quagliata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luca Quagliata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 28 | |
| 2 | 2020 | 17 | |
| 3 | The Role of Next-Generation Sequencing and Reduced Time to Diagnosis In Haematological Diseases: Status Quo and Prospective Overview of Promising Molecular Testing Approaches | 2020 | 2 |
| 4 | 2019 | 100 | |
| 5 | 2018 | 13 | |
| 6 | 2018 | 75 | |
| 7 | 2018 | 12 | |
| 8 | 2017 | 41 | |
| 9 | 2017 | 23 | |
| 10 | 2016 | 54 | |
| 11 | 2016 | 36 | |
| 12 | 2015 | 14 | |
| 13 | 2015 | 32 | |
| 14 | 2014 | 15 | |
| 15 | 2014 | 128 | |
| 16 | 2013 | 15 | |
| 17 | 2013 | 16 | |
| 18 | 2013 | 18 | |
| 19 | 2013 | 373 | |
| 20 | 2010 | 51 |
About Luca Quagliata
Luca Quagliata is a scholar working on Cancer Research, Oncology and Hepatology, having authored 73 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (21 papers), Cancer-related molecular mechanisms research (11 papers), Lung Cancer Treatments and Mutations (8 papers), Genetic factors in colorectal cancer (8 papers), Cancer Immunotherapy and Biomarkers (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Angiogenesis and VEGF in Cancer (5 papers). The work is most often cited by research in Cancer Research (1.4k citations), Molecular Biology (1.7k citations) and Oncology (640 citations). Luca Quagliata has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Luigi Terracciano, Salvatore Piscuoglio, Matthias S. Matter, Markus H. Heim, Charlotte K.Y. Ng, Luigi Tornillo, Tujana Boldanova, Cristina Quintavalle, Christian Ruiz and Ilaria Alborelli. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.