J Icart

1.0k citations
37 papers · 805 indexed · h-index 15

J Icart

37 papers receiving 783 citations

Peers

J Icart
Comparison fields: 5 of 73
  • Oncology 384
  • Infectious Diseases 226
  • Hepatology 97
  • Epidemiology 348
  • Pathology and Forensic Medicine 159
Replace James M. Gulizia with:
James M. Gulizia United States
Rosamaria Tedeschi Italy
Frédéric Morinet France
Massimo De Paschale Italy
Ingólfur Johannessen United Kingdom
Antje Knöll Germany
Alessandra Sottini Italy
G. E. D. Urquhart United Kingdom
Helena Dahl Sweden
E. Mortier France
J Icart relative to James M. Gulizia United States James M. Gulizia's profile →
Citations per field
00.5×1.5×2.0×
James M. Gulizia · 1×
Citations per year

Countries citing papers authored by J Icart

Since Specialization
Citations

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

Fields of papers citing papers by J Icart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200120
2 200132
3 200181
4 199965
5 199827
6 19984
7 199713
8 199710
9 199789
10 19965
11 1996138
12 199553
13 199416
14
[Guillain-Barré syndrome associated with cytomegalovirus infection after kidney transplantation].
19943
15 199415
16 19912
17 19891
18 198610
19 198317
20
Prospective study of Epstein Barr virus (EBV) infection during pregnancy.
198134

About J Icart

J Icart is a scholar working on Transplantation, Oncology, Infectious Diseases, Rheumatology and Epidemiology, having authored 37 papers that have together received 805 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (15 papers), Parvovirus B19 Infection Studies (12 papers), Cytomegalovirus and herpesvirus research (7 papers), Polyomavirus and related diseases (6 papers), Eosinophilic Disorders and Syndromes (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Eosinophilic Esophagitis (3 papers). The work is most often cited by research in Oncology (384 citations), Infectious Diseases (226 citations), Hepatology (97 citations), Epidemiology (348 citations) and Pathology and Forensic Medicine (159 citations). J Icart has collaborated with scholars based in France and Tunisia. Frequent co-authors include Lionel Rostaing, Pierre Brousset, Sabine Henry, Bernard Mariamé, Fabienne Meggetto, D. Durand, Georges Delsol, Jean‐Marc Cisterne, M Duffaut and B. Pradère. Their work appears in journals such as Journal of Medical Virology, American Journal of Nephrology, The Journal of Infectious Diseases, Transplantation and Blood.

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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