Angelo d’Errico
- General Health Professions top 2%
- Health, Toxicology and Mutagenesis top 5%
- Molecular Biology
- Pharmacology top 5%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Giuseppe CostaNúria MalatsManolis KogevinasPaolo VineisGemma Castaño‐VinyalsXiang ChenEmanuela TaioliRebecca Gore
- Topics
- Employment and Welfare Studies (27 papers)Workplace Health and Well-being (26 papers)Musculoskeletal pain and rehabilitation (19 papers)
- Cited by
- Radiological and Ultrasound TechnologyMedical Laboratory TechnologyHealth, Toxicology and Mutagenesis
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Angelo d’Errico
87 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 143
- General Health Professions 513
- Health, Toxicology and Mutagenesis 341
- Molecular Biology 249
- Pharmacology 238
- Public Health, Environmental and Occupational Health 232
Countries citing papers authored by Angelo d’Errico
This map shows the geographic impact of Angelo d’Errico'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 Angelo d’Errico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo d’Errico more than expected).
Fields of papers citing papers by Angelo d’Errico
This network shows the impact of papers produced by Angelo d’Errico. 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 Angelo d’Errico. The network helps show where Angelo d’Errico may publish in the future.
Co-authorship network of co-authors of Angelo d’Errico
This figure shows the co-authorship network connecting the top 25 collaborators of Angelo d’Errico. A scholar is included among the top collaborators of Angelo d’Errico 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 Angelo d’Errico. Angelo d’Errico is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 18 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 8 | |
| 14 | 78 | |
| 15 | 14 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 75 | |
| 19 | 29 | |
| 20 | 83 |
About Angelo d’Errico
Angelo d’Errico is a scholar working on Radiological and Ultrasound Technology, General Health Professions and Medical Laboratory Technology, having authored 95 papers that have together received 1.8k indexed citations. Recurring topics across this work include Employment and Welfare Studies (27 papers), Workplace Health and Well-being (26 papers) and Musculoskeletal pain and rehabilitation (19 papers). The work is most often cited by research in Radiological and Ultrasound Technology (208 citations), Medical Laboratory Technology (52 citations) and Health, Toxicology and Mutagenesis (341 citations). Angelo d’Errico has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giuseppe Costa, Núria Malats, Manolis Kogevinas, Paolo Vineis, Gemma Castaño‐Vinyals, Xiang Chen, Emanuela Taioli, Rebecca Gore, Laura Punnett and Paolo Vineis. Their work appears in journals such as Nature Communications, PLoS ONE and Neurology.
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.