Alessandro Marando
Impact in
- Oncology top 5%
- Lung Cancer Research Studies
- Pancreatic and Hepatic Oncology Research
- HER2/EGFR in Cancer Research
- Epidemiology top 5%
- Neuroendocrine Tumor Research Advances
Papers in
- Co-authors
- Carlo Capella (16 shared papers)Stefano La Rosa (14 shared papers)Fausto Sessa (10 shared papers)Nora Sahnane (5 shared papers)Daniela Furlan (5 shared papers)Cristina Riva (1 shared paper)Francesca Franzi (3 shared papers)Kenji Notohara (2 shared papers)
- Journals
- Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (4 papers)Endocrine Pathology (3 papers)Neuro-Oncology (2 papers)The American Journal of Surgical Pathology (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- ItalyNetherlandsFrance
In The Last Decade
Alessandro Marando
32 papers receiving 846 citations
Peers
Comparison fields: 5 of 53
- Oncology 512
- Epidemiology 520
- Neurology 218
- Cancer Research 91
- Gastroenterology 27
Countries citing papers authored by Alessandro Marando
This map shows the geographic impact of Alessandro Marando'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 Alessandro Marando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Marando more than expected).
Fields of papers citing papers by Alessandro Marando
This network shows the impact of papers produced by Alessandro Marando. 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 Alessandro Marando. The network helps show where Alessandro Marando may publish in the future.
Co-authors
The 25 scholars most cited alongside Alessandro Marando, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 206 | |
| 2 | 2012 | 126 | |
| 3 | 2012 | 115 | |
| 4 | 2010 | 88 | |
| 5 | 2014 | 55 | |
| 6 | 2014 | 49 | |
| 7 | 2013 | 31 | |
| 8 | 2012 | 30 | |
| 9 | 2013 | 27 | |
| 10 | 2013 | 27 | |
| 11 | 2012 | 14 | |
| 12 | 2013 | 13 | |
| 13 | 2015 | 12 | |
| 14 | 2017 | 11 | |
| 15 | 2014 | 9 | |
| 16 | 2016 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2024 | 4 | |
| 19 | 2011 | 4 | |
| 20 | 2019 | 4 |
About Alessandro Marando
Alessandro Marando is a scholar working on Oncology, Surgery, Epidemiology, Molecular Biology and Neurology, having authored 33 papers that have together received 859 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (9 papers), Head and Neck Surgical Oncology (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Neuroblastoma Research and Treatments (4 papers), Ear and Head Tumors (3 papers), HER2/EGFR in Cancer Research (3 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers) and Infectious Diseases and Mycology (3 papers). The work is most often cited by research in Oncology (512 citations), Epidemiology (520 citations), Neurology (218 citations), Cancer Research (91 citations) and Gastroenterology (27 citations). Alessandro Marando has collaborated with scholars based in Italy, Netherlands and France. Frequent co-authors include Carlo Capella, Stefano La Rosa, Fausto Sessa, Nora Sahnane, Daniela Furlan, Cristina Riva, Francesca Franzi, Kenji Notohara, Sofia Asioli and Volkan Adsay. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Endocrine Pathology, Neuro-Oncology, The American Journal of Surgical Pathology and Journal of Visualized Experiments.
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.