P. Cervi
Impact in
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
- Chronic Lymphocytic Leukemia Research
-
- Iron Metabolism and Disorders
Papers in ⓘ
- Genetics 5
- Chronic Lymphocytic Leukemia Research 3
- Hemoglobinopathies and Related Disorders 2
- Co-authors
- A. H. Goldstone (2 shared papers)K.G. Patterson (2 shared papers)Rajesh Chopra (2 shared papers)J.I.G. Strang (1 shared paper)Hope S. Rugo (1 shared paper)Ira Jacobs (1 shared paper)Kim Linton (1 shared paper)John B. Porter (2 shared papers)
- Journals
- British Journal of Haematology (3 papers)Journal of Telemedicine and Telecare (2 papers)Postgraduate Medical Journal (1 paper)Journal of Clinical Pathology (1 paper)Leukemia (1 paper)
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
P. Cervi
14 papers receiving 329 citations
Peers
Comparison fields: 5 of 76
- Genetics 89
- Hematology 62
- Pathology and Forensic Medicine 88
- Oncology 106
- Internal Medicine 12
Countries citing papers authored by P. Cervi
This map shows the geographic impact of P. Cervi'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 P. Cervi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Cervi more than expected).
Fields of papers citing papers by P. Cervi
This network shows the impact of papers produced by P. Cervi. 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 P. Cervi. The network helps show where P. Cervi may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Cervi, 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 | 1991 | 79 | |
| 2 | 2016 | 62 | |
| 3 | 1995 | 61 | |
| 4 | 1992 | 55 | |
| 5 | 2005 | 32 | |
| 6 | 2001 | 12 | |
| 7 | 1996 | 11 | |
| 8 | 2002 | 11 | |
| 9 | 2002 | 5 | |
| 10 | 1992 | 4 | |
| 11 | 2002 | 3 | |
| 12 | 1991 | 2 | |
| 13 | 2009 | 1 | |
| 14 | 2011 | 1 | |
| 15 | 1994 | 0 |
About P. Cervi
P. Cervi is a scholar working on Hematology, Genetics, Oncology, Pathology and Forensic Medicine and Epidemiology, having authored 15 papers that have together received 339 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Viral-associated cancers and disorders (2 papers), Healthcare Systems and Technology (2 papers), Mycobacterium research and diagnosis (2 papers), Colorectal Cancer Treatments and Studies (1 paper) and Pharmaceutical Practices and Patient Outcomes (1 paper). The work is most often cited by research in Genetics (89 citations), Hematology (62 citations), Pathology and Forensic Medicine (88 citations), Oncology (106 citations) and Internal Medicine (12 citations). P. Cervi has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include A. H. Goldstone, K.G. Patterson, Rajesh Chopra, J.I.G. Strang, Hope S. Rugo, Ira Jacobs, Kim Linton, John B. Porter, Aisling O’Driscoll and Malcolm Hamilton. Their work appears in journals such as British Journal of Haematology, Journal of Telemedicine and Telecare, Postgraduate Medical Journal, Journal of Clinical Pathology and Leukemia.
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.