Diego Ottaviani
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- Immune cells in cancer
- Immunotherapy and Immune Responses
Papers in
- Oncology 9
- COVID-19 and healthcare impacts 6
- Cancer Immunotherapy and Biomarkers 2
-
- Genomics and Chromatin Dynamics 3
- Co-authors
- Nicholas F. Brown (3 shared papers)Paul Mulholland (3 shared papers)Denise Sheer (7 shared papers)Thomas J. Carter (1 shared paper)Sebastian Brandner (1 shared paper)Neil Kitchen (1 shared paper)Naomi Fersht (1 shared paper)John Gregson (1 shared paper)
- Journals
- Cancers (4 papers)Annals of Oncology (3 papers)Journal of Clinical Oncology (3 papers)Human Molecular Genetics (1 paper)Acta Neuropathologica Communications (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Diego Ottaviani
26 papers receiving 780 citations
Diego Ottaviani's Hit Papers
Peers
Comparison fields: 5 of 94
- Genetics 177
- Immunology 113
- Cancer Research 75
- Molecular Biology 359
- Oncology 123
Countries citing papers authored by Diego Ottaviani
This map shows the geographic impact of Diego Ottaviani'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 Diego Ottaviani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Ottaviani more than expected).
Fields of papers citing papers by Diego Ottaviani
This network shows the impact of papers produced by Diego Ottaviani. 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 Diego Ottaviani. The network helps show where Diego Ottaviani may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Ottaviani, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 179 | |
| 2 | Survival Outcomes and Prognostic Factors in Glioblastoma Hit paper breakdown → | 2022 | 130 |
| 3 | 2014 | 129 | |
| 4 | 2011 | 88 | |
| 5 | 2008 | 49 | |
| 6 | 2008 | 24 | |
| 7 | 2022 | 24 | |
| 8 | 2008 | 22 | |
| 9 | 2023 | 20 | |
| 10 | 2020 | 18 | |
| 11 | 2023 | 18 | |
| 12 | 2016 | 15 | |
| 13 | 2019 | 12 | |
| 14 | 2015 | 12 | |
| 15 | 2012 | 11 | |
| 16 | 2013 | 10 | |
| 17 | 2023 | 6 | |
| 18 | 2020 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2021 | 2 |
About Diego Ottaviani
Diego Ottaviani is a scholar working on Oncology, Molecular Biology, Genetics, Immunology and Cancer Research, having authored 28 papers that have together received 783 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (6 papers), Glioma Diagnosis and Treatment (4 papers), Immunotherapy and Immune Responses (3 papers), Genomics and Chromatin Dynamics (3 papers), T-cell and B-cell Immunology (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immune cells in cancer (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Genetics (177 citations), Immunology (113 citations), Cancer Research (75 citations), Molecular Biology (359 citations) and Oncology (123 citations). Diego Ottaviani has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Nicholas F. Brown, Paul Mulholland, Denise Sheer, Thomas J. Carter, Sebastian Brandner, Neil Kitchen, Naomi Fersht, John Gregson, John Tazare and Elliott Lever. Their work appears in journals such as Cancers, Annals of Oncology, Journal of Clinical Oncology, Human Molecular Genetics and Acta Neuropathologica Communications.
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.