P. Cervi

460 citations
15 papers · 340 · h-index 8

Impact in

  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
    • Chronic Lymphocytic Leukemia Research
    • Iron Metabolism and Disorders

Papers in

    • Chronic Lymphocytic Leukemia Research 3
    • Hemoglobinopathies and Related Disorders 2

P. Cervi

14 papers receiving 331 citations

Peers

P. Cervi
Comparison fields: 5 of 69
  • Genetics 80
  • Hematology 56
  • Pathology and Forensic Medicine 76
  • Oncology 88
  • Internal Medicine 10
Replace Najib Dally with:
Najib Dally Israel
E. Koivunen Finland
Pimjai Niparuck Thailand
Ayad Al-Katib United States
Caroline L. Furness United Kingdom
Chiara Frairia Italy
Sara Miqueleiz Italy
Anıl Tombak Türkiye
A. Dadban France
Pervin Topçuoğlu Türkiye
P. Cervi relative to Najib Dally Israel Najib Dally's profile →
Citations per field
00.5×2.5×
Najib Dally · 1×
Citations per year

Countries citing papers authored by P. Cervi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with P. Cervi Line = papers co-authored together P. Cervi links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 199179
2 201662
3 199561
4 199255
5 200533
6 200112
7 200211
8 199611
9 20025
10 19924
11 20023
12 19912
13 20091
14 20111
15 19940

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 340 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Viral-associated cancers and disorders (2 papers), Mycobacterium research and diagnosis (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Healthcare Systems and Technology (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Genetics (80 citations), Hematology (56 citations), Pathology and Forensic Medicine (76 citations), Oncology (88 citations) and Internal Medicine (10 citations). P. Cervi has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include A. H. Goldstone, K.G. Patterson, Rajesh Chopra, J.I.G. Strang, Hope S. Rugo, Kim Linton, Ira Jacobs, John B. Porter, David C. Rees and Aisling O’Driscoll. Their work appears in journals such as British Journal of Haematology, Journal of Telemedicine and Telecare, Leukemia, Cancer Treatment Reviews and Journal of Clinical Pathology.

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.

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