Carmen Correale
Impact in
- Immunology top 5%
- Immune cells in cancer
- Oncology top 5%
- Lymphatic System and Diseases
- Chemokine receptors and signaling
Papers in
- Genetics 23
- Inflammatory Bowel Disease 22
- Immunology 17
- Biosimilars and Bioanalytical Methods 5
- IL-33, ST2, and ILC Pathways 3
- Co-authors
- Silvio Danese (43 shared papers)Stefania Vetrano (24 shared papers)Alberto Malesci (19 shared papers)Antonino Spinelli (13 shared papers)Gionata Fiorino (19 shared papers)Vincenzo Arena (10 shared papers)Alessandro Repici (13 shared papers)Silvia D’Alessio (7 shared papers)
- Journals
- Gastroenterology (10 papers)Current Drug Targets (5 papers)Inflammatory Bowel Diseases (4 papers)Digestive and Liver Disease (3 papers)Expert Opinion on Biological Therapy (2 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Carmen Correale
54 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 104
- Immunology 562
- Oncology 502
- Neurology 153
- Genetics 507
- Gastroenterology 80
Countries citing papers authored by Carmen Correale
This map shows the geographic impact of Carmen Correale'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 Carmen Correale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Correale more than expected).
Fields of papers citing papers by Carmen Correale
This network shows the impact of papers produced by Carmen Correale. 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 Carmen Correale. The network helps show where Carmen Correale may publish in the future.
Co-authors
The 25 scholars most cited alongside Carmen Correale, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 217 | |
| 2 | 2014 | 202 | |
| 3 | 2009 | 140 | |
| 4 | 2008 | 135 | |
| 5 | 2009 | 126 | |
| 6 | 2013 | 120 | |
| 7 | 2015 | 116 | |
| 8 | 2009 | 93 | |
| 9 | 2011 | 74 | |
| 10 | 2010 | 72 | |
| 11 | 2019 | 71 | |
| 12 | 2011 | 59 | |
| 13 | 2009 | 56 | |
| 14 | 2012 | 54 | |
| 15 | 2017 | 53 | |
| 16 | 2010 | 51 | |
| 17 | 2018 | 48 | |
| 18 | 2018 | 48 | |
| 19 | 2014 | 44 | |
| 20 | 2014 | 43 |
About Carmen Correale
Carmen Correale is a scholar working on Genetics, Immunology, Oncology, Epidemiology and Cancer Research, having authored 56 papers that have together received 2.3k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (22 papers), Microscopic Colitis (7 papers), Biosimilars and Bioanalytical Methods (5 papers), Lymphatic System and Diseases (4 papers), Systemic Lupus Erythematosus Research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), IL-33, ST2, and ILC Pathways (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology (562 citations), Oncology (502 citations), Neurology (153 citations), Genetics (507 citations) and Gastroenterology (80 citations). Carmen Correale has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Silvio Danese, Stefania Vetrano, Alberto Malesci, Antonino Spinelli, Gionata Fiorino, Vincenzo Arena, Alessandro Repici, Silvia D’Alessio, Massimo Locati and Carlotta Tacconi. Their work appears in journals such as Gastroenterology, Current Drug Targets, Inflammatory Bowel Diseases, Digestive and Liver Disease and Expert Opinion on Biological Therapy.
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.