Biagio Arcidiacono
- Molecular Biology top 10%
- Cancer Research top 5%
- Obstetrics and Gynecology top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Co-authors
- Antonio BrunettiDaniela FotiEusebio ChiefariStefania IiritanoValeria VenturaAurora NoceraFrancesco BrunettiSalvatore De Rosa
- Topics
- Cancer-related molecular mechanisms research (8 papers)RNA Research and Splicing (7 papers)Adipose Tissue and Metabolism (6 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Biagio Arcidiacono
38 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 858
- Cancer Research 443
- Obstetrics and Gynecology 441
- Endocrinology, Diabetes and Metabolism 390
- Surgery 375
Countries citing papers authored by Biagio Arcidiacono
This map shows the geographic impact of Biagio Arcidiacono'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 Biagio Arcidiacono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biagio Arcidiacono more than expected).
Fields of papers citing papers by Biagio Arcidiacono
This network shows the impact of papers produced by Biagio Arcidiacono. 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 Biagio Arcidiacono. The network helps show where Biagio Arcidiacono may publish in the future.
Co-authorship network of co-authors of Biagio Arcidiacono
This figure shows the co-authorship network connecting the top 25 collaborators of Biagio Arcidiacono. A scholar is included among the top collaborators of Biagio Arcidiacono based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Biagio Arcidiacono. Biagio Arcidiacono is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 76 | |
| 4 | 183 | |
| 5 | 5 | |
| 6 | 65 | |
| 7 | 33 | |
| 8 | 8 | |
| 9 | 45 | |
| 10 | 25 | |
| 11 | 38 | |
| 12 | 12 | |
| 13 | 47 | |
| 14 | 267 | |
| 15 | 43 | |
| 16 | 22 | |
| 17 | 29 | |
| 18 | 31 | |
| 19 | 16 | |
| 20 | 7 |
About Biagio Arcidiacono
Biagio Arcidiacono is a scholar working on Cancer Research, Endocrine and Autonomic Systems and Obstetrics and Gynecology, having authored 38 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), RNA Research and Splicing (7 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Obstetrics and Gynecology (441 citations), Cancer Research (443 citations) and Endocrinology, Diabetes and Metabolism (390 citations). Biagio Arcidiacono has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Antonio Brunetti, Daniela Foti, Eusebio Chiefari, Stefania Iiritano, Valeria Ventura, Aurora Nocera, Francesco Brunetti, Salvatore De Rosa, Ciro Indolfi and Domenica Corigliano. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.