Diego Arcelli
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Dermatology top 2%
- Cutaneous lymphoproliferative disorders research
Papers in
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- Molecular Biology Techniques and Applications 3
-
- T-cell and Retrovirus Studies 3
- Co-authors
- Stefano Volinia (14 shared papers)Francesca Francioso (9 shared papers)Maurizio C. Capogrossi (5 shared papers)Fabio Martelli (3 shared papers)Simona Greco (2 shared papers)Furio Pezzetti (6 shared papers)Adriano Piattelli (6 shared papers)Pasquale Fasanaro (2 shared papers)
- Journals
- Prenatal Diagnosis (4 papers)Physiological Genomics (2 papers)Diabetes (1 paper)Circulation Research (1 paper)Cardiovascular Research (1 paper)
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Diego Arcelli
38 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 394
- Dermatology 180
- Oral Surgery 106
- Immunology 252
- Molecular Biology 725
Countries citing papers authored by Diego Arcelli
This map shows the geographic impact of Diego Arcelli'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 Arcelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Arcelli more than expected).
Fields of papers citing papers by Diego Arcelli
This network shows the impact of papers produced by Diego Arcelli. 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 Arcelli. The network helps show where Diego Arcelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Arcelli, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 206 | |
| 2 | 2005 | 130 | |
| 3 | 2010 | 119 | |
| 4 | 2008 | 110 | |
| 5 | 2011 | 97 | |
| 6 | 2003 | 87 | |
| 7 | 2006 | 82 | |
| 8 | 2009 | 54 | |
| 9 | 2009 | 49 | |
| 10 | 2004 | 43 | |
| 11 | 2004 | 34 | |
| 12 | 2007 | 29 | |
| 13 | 2006 | 29 | |
| 14 | 2009 | 28 | |
| 15 | 2003 | 26 | |
| 16 | 2013 | 25 | |
| 17 | 2007 | 25 | |
| 18 | 2010 | 25 | |
| 19 | 2004 | 24 | |
| 20 | 2013 | 22 |
About Diego Arcelli
Diego Arcelli is a scholar working on Molecular Biology, Immunology, Cancer Research, Pediatrics, Perinatology and Child Health and Oral Surgery, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (4 papers), Bone Tissue Engineering Materials (3 papers), MicroRNA in disease regulation (3 papers), Dental Implant Techniques and Outcomes (3 papers), Prenatal Screening and Diagnostics (3 papers), Molecular Biology Techniques and Applications (3 papers), Cutaneous lymphoproliferative disorders research (3 papers) and T-cell and Retrovirus Studies (3 papers). The work is most often cited by research in Cancer Research (394 citations), Dermatology (180 citations), Oral Surgery (106 citations), Immunology (252 citations) and Molecular Biology (725 citations). Diego Arcelli has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Stefano Volinia, Francesca Francioso, Maurizio C. Capogrossi, Fabio Martelli, Simona Greco, Furio Pezzetti, Adriano Piattelli, Pasquale Fasanaro, Monica Napolitano and Serenella Castelvecchio. Their work appears in journals such as Prenatal Diagnosis, Physiological Genomics, Diabetes, Circulation Research and Cardiovascular 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.