P Colonna

1.0k citations
58 papers · 787 · h-index 15

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 5%
    • Blood groups and transfusion
    • Iron Metabolism and Disorders

Papers in

P Colonna

53 papers receiving 755 citations

Peers

P Colonna
Comparison fields: 5 of 74
  • Genetics 163
  • Hematology 154
  • Physiology 244
  • Pathology and Forensic Medicine 160
  • Pharmaceutical Science 43
Replace Margaret Tonda with:
Margaret Tonda United States
Gualtiero Mariani Italy
Christine M. Kearns United States
Alyssa L. Kennedy United States
Christophe Hermans Belgium
Onyee Chan United States
Benjamin D. Hedley Canada
Julie Rousseau Canada
Rashid A. Fawwaz United States
E. K. J. Pauwels Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by P Colonna

Since Specialization
Citations

This map shows the geographic impact of P Colonna'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 Colonna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P Colonna more than expected).

Fields of papers citing papers by P Colonna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P Colonna. 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 Colonna. The network helps show where P Colonna may publish in the future.

Co-authors

The 25 scholars most cited alongside P Colonna, 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 Colonna Line = papers co-authored together P Colonna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202198
2 201963
3 198550
4 198945
5 200242
6 199642
7 198541
8 199239
9 198738
10 198933
11 198633
12 202428
13 200822
14 197720
15 199816
16 198714
17
Co-existence of the A and B types of Epstein-Barr virus DNA in lymph node biopsies from Algerian patients with Hodgkin's disease and non-Hodgkin's lymphoma.
199311
18 201010
19 200610
20 200210

About P Colonna

P Colonna is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Pulmonary and Respiratory Medicine and Physiology, having authored 58 papers that have together received 787 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Hemoglobinopathies and Related Disorders (15 papers), Erythrocyte Function and Pathophysiology (12 papers), Iron Metabolism and Disorders (11 papers), Neonatal Health and Biochemistry (6 papers), Blood properties and coagulation (6 papers), Lung Cancer Treatments and Mutations (5 papers) and Asymmetric Hydrogenation and Catalysis (4 papers). The work is most often cited by research in Genetics (163 citations), Hematology (154 citations), Physiology (244 citations), Pathology and Forensic Medicine (160 citations) and Pharmaceutical Science (43 citations). P Colonna has collaborated with scholars based in France, Algeria and United States. Frequent co-authors include Djamel Guetarni, D. Bachir, J. Delaunay, Nicole Alloisio, Jean‐Marie Andrieu, Jacqueline Godet, Jean‐Philippe Jaïs, Laurette Morlé, Gaëlle Chouraqui and Jean‐Luc Parrain. Their work appears in journals such as Cancer, Blood, Acta Haematologica, Human Genetics and American Journal of Hematology.

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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