Luca Simula
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- Cancer, Hypoxia, and Metabolism 8
- Oncology 8
- Cancer Immunotherapy and Biomarkers 4
- CAR-T cell therapy research 3
- Co-authors
- Silvia Campello (12 shared papers)Philippe Icard (13 shared papers)Francesca Nazio (2 shared papers)Marco Alifano (9 shared papers)Antoine Coquerel (4 shared papers)Hubert Lincet (3 shared papers)Michelangelo Campanella (1 shared paper)David Fuks (2 shared papers)
In The Last Decade
Luca Simula
30 papers receiving 924 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 189
- Oncology 166
- Immunology 116
- Molecular Biology 347
- Epidemiology 122
Countries citing papers authored by Luca Simula
This map shows the geographic impact of Luca Simula'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 Simula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Simula more than expected).
Fields of papers citing papers by Luca Simula
This network shows the impact of papers produced by Luca Simula. 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 Simula. The network helps show where Luca Simula may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Simula, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 108 | |
| 2 | 2021 | 102 | |
| 3 | 2017 | 90 | |
| 4 | 2018 | 71 | |
| 5 | 2024 | 59 | |
| 6 | 2019 | 55 | |
| 7 | 2022 | 48 | |
| 8 | 2021 | 45 | |
| 9 | 2018 | 44 | |
| 10 | 2021 | 40 | |
| 11 | 2019 | 33 | |
| 12 | 2018 | 25 | |
| 13 | 2020 | 25 | |
| 14 | 2021 | 23 | |
| 15 | 2016 | 22 | |
| 16 | 2018 | 20 | |
| 17 | 2022 | 20 | |
| 18 | 2018 | 18 | |
| 19 | 2022 | 18 | |
| 20 | 2023 | 17 |
About Luca Simula
Luca Simula is a scholar working on Cancer Research, Oncology, Molecular Biology, Immunology and Hematology, having authored 30 papers that have together received 933 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Mitochondrial Function and Pathology (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Autophagy in Disease and Therapy (3 papers), CAR-T cell therapy research (3 papers), Acute Myeloid Leukemia Research (2 papers), T-cell and B-cell Immunology (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Cancer Research (189 citations), Oncology (166 citations), Immunology (116 citations), Molecular Biology (347 citations) and Epidemiology (122 citations). Luca Simula has collaborated with scholars based in Italy, France and Denmark. Frequent co-authors include Silvia Campello, Philippe Icard, Francesca Nazio, Marco Alifano, Antoine Coquerel, Hubert Lincet, Michelangelo Campanella, David Fuks, Zherui Wu and Ludovic Fournel. Their work appears in journals such as Drug Resistance Updates, Trends in Endocrinology and Metabolism, Nature Communications, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer and Cancers.
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.