Davide Vacirca
Impact in
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- RNA modifications and cancer 4
- PI3K/AKT/mTOR signaling in cancer 4
- ATP Synthase and ATPases Research 3
-
- Cancer Genomics and Diagnostics 16
- Co-authors
- Elena Ortona (13 shared papers)Tania Colasanti (7 shared papers)Walter Malorni (8 shared papers)Marina Pierdominici (6 shared papers)Angela Maselli (4 shared papers)Federica Delunardo (6 shared papers)Massimo Barberis (27 shared papers)Antonello Giovannetti (3 shared papers)
- Journals
- Journal of Clinical Pathology (4 papers)Journal of Clinical Oncology (4 papers)Cancers (3 papers)The FASEB Journal (2 papers)Journal of Alzheimer s Disease (2 papers)
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Davide Vacirca
40 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 90
- Rheumatology 178
- Cancer Research 171
- Immunology 225
- Physiology 46
- Biological Psychiatry 23
Countries citing papers authored by Davide Vacirca
This map shows the geographic impact of Davide Vacirca'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 Davide Vacirca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Vacirca more than expected).
Fields of papers citing papers by Davide Vacirca
This network shows the impact of papers produced by Davide Vacirca. 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 Davide Vacirca. The network helps show where Davide Vacirca may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Vacirca, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 154 | |
| 2 | 2012 | 130 | |
| 3 | 2012 | 118 | |
| 4 | 2011 | 64 | |
| 5 | 2017 | 56 | |
| 6 | 2009 | 54 | |
| 7 | 2015 | 54 | |
| 8 | 2010 | 38 | |
| 9 | 2020 | 35 | |
| 10 | 2021 | 32 | |
| 11 | 2020 | 26 | |
| 12 | 2023 | 23 | |
| 13 | 2011 | 23 | |
| 14 | 2017 | 22 | |
| 15 | 2022 | 21 | |
| 16 | 2014 | 21 | |
| 17 | 2017 | 19 | |
| 18 | 2009 | 17 | |
| 19 | 2013 | 17 | |
| 20 | 2015 | 15 |
About Davide Vacirca
Davide Vacirca is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Immunology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (16 papers), Lung Cancer Treatments and Mutations (11 papers), PARP inhibition in cancer therapy (6 papers), RNA modifications and cancer (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Advanced Breast Cancer Therapies (4 papers), Genetic factors in colorectal cancer (3 papers) and ATP Synthase and ATPases Research (3 papers). The work is most often cited by research in Rheumatology (178 citations), Cancer Research (171 citations), Immunology (225 citations), Physiology (46 citations) and Biological Psychiatry (23 citations). Davide Vacirca has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Elena Ortona, Tania Colasanti, Walter Malorni, Marina Pierdominici, Angela Maselli, Federica Delunardo, Massimo Barberis, Antonello Giovannetti, Massimo Sanchez and Cristiana Barbati. Their work appears in journals such as Journal of Clinical Pathology, Journal of Clinical Oncology, Cancers, The FASEB Journal and Journal of Alzheimer s Disease.
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.