Emanuele Dainese
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- HER2/EGFR in Cancer Research 2
- Dermatology top 10%
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- Cancer Genomics and Diagnostics 3
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- Sarcoma Diagnosis and Treatment 3
- Metastasis and carcinoma case studies 2
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- Dermatological and Skeletal Disorders 3
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- Inflammatory Myopathies and Dermatomyositis 3
- Neuroendocrine Tumor Research Advances 2
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- Cardiac tumors and thrombi 3
- Co-authors
- Cristina RivaCarlo CapellaMario MilaniGiovanni MassarelliVincenzo EusebiTibor TotPaolo Cossu‐RoccaLorenzo Arnaboldi
- Cited by
- OncologyDermatologyCancer Research
- Journals
- Dermatologic Surgery (2 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (2 papers)Journal of Personalized Medicine (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Emanuele Dainese
23 papers receiving 366 citations
Peers
Comparison fields: 5 of 46
- Oncology 157
- Dermatology 50
- Cancer Research 85
- Reproductive Medicine 31
- Pulmonary and Respiratory Medicine 111
Countries citing papers authored by Emanuele Dainese
This map shows the geographic impact of Emanuele Dainese'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 Emanuele Dainese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuele Dainese more than expected).
Fields of papers citing papers by Emanuele Dainese
This network shows the impact of papers produced by Emanuele Dainese. 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 Emanuele Dainese. The network helps show where Emanuele Dainese may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emanuele Dainese, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 0 | |
| 6 | 2021 | 4 | |
| 7 | 2021 | 0 | |
| 8 | 2020 | 44 | |
| 9 | 2017 | 4 | |
| 10 | 2017 | 1 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 2 | |
| 13 | 2015 | 7 | |
| 14 | 2015 | 13 | |
| 15 | 2013 | 2 | |
| 16 | 2012 | 14 | |
| 17 | 2010 | 34 | |
| 18 | 2009 | 1 | |
| 19 | 2006 | 8 | |
| 20 | 2005 | 75 |
About Emanuele Dainese
Emanuele Dainese is a scholar working on Health Informatics, Reproductive Medicine, Dermatology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 378 indexed citations. Recurring topics across this work include Dermatological and Skeletal Disorders (3 papers), Cancer Genomics and Diagnostics (3 papers), Inflammatory Myopathies and Dermatomyositis (3 papers), Cardiac tumors and thrombi (3 papers), Sarcoma Diagnosis and Treatment (3 papers), HER2/EGFR in Cancer Research (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Metastasis and carcinoma case studies (2 papers). The work is most often cited by research in Oncology (157 citations), Dermatology (50 citations), Cancer Research (85 citations), Reproductive Medicine (31 citations) and Pulmonary and Respiratory Medicine (111 citations). Emanuele Dainese has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Cristina Riva, Carlo Capella, Mario Milani, Giovanni Massarelli, Vincenzo Eusebi, Tibor Tot, Paolo Cossu‐Rocca, Lorenzo Arnaboldi, Ileana Carnevali and Daniela Furlan. Their work appears in journals such as Dermatologic Surgery, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Journal of Personalized Medicine, Acta Neuropathologica Communications and Clinical Cancer 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.