J CARTRON

1.9k citations
65 papers · 1.3k indexed · h-index 21

Impact in

  • Hematology top 2%
    • Blood groups and transfusion
  • Physiology top 5%
    • Erythrocyte Function and Pathophysiology

Papers in

    • Blood groups and transfusion 23
    • Platelet Disorders and Treatments 4
    • Erythrocyte Function and Pathophysiology 22

J CARTRON

61 papers receiving 1.2k citations

Peers

J CARTRON
Comparison fields: 5 of 87
  • Hematology 493
  • Physiology 446
  • Transplantation 39
  • Immunology 252
  • Molecular Biology 657
Replace William J. Kuhns with:
William J. Kuhns United States
Aron E. Szulman United States
C Salmon France
Leonhard Korngold United States
B. Gardner United Kingdom
G. W. G. Bird United Kingdom
Kim L. Nelson Canada
Rodney R. Porter United Kingdom
R. Kurrle Germany
M. A. Pellegrino United States
J CARTRON relative to William J. Kuhns United States William J. Kuhns's profile →
Citations per field
00.5×3.3×
William J. Kuhns · 1×
Citations per year

Countries citing papers authored by J CARTRON

Since Specialization
Citations

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

Fields of papers citing papers by J CARTRON

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200916
2 199817
3 19965
4 199559
5 199115
6 199047
7 1990113
8 198944
9 19889
10 198817
11 198845
12 198483
13 19822
14
Rh antibodies after kidney transplantation.
19817
15 198023
16 19806
17 19801
18 197883
19 19781
20 197612

About J CARTRON

J CARTRON is a scholar working on Hematology, Physiology, Transplantation, Immunology and Management of Technology and Innovation, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (25 papers), Blood groups and transfusion (23 papers), Erythrocyte Function and Pathophysiology (22 papers), Carbohydrate Chemistry and Synthesis (9 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Neonatal Health and Biochemistry (5 papers), Blood disorders and treatments (4 papers) and Platelet Disorders and Treatments (4 papers). The work is most often cited by research in Hematology (493 citations), Physiology (446 citations), Transplantation (39 citations), Immunology (252 citations) and Molecular Biology (657 citations). J CARTRON has collaborated with scholars based in France, Switzerland and Morocco. Frequent co-authors include Friedrich Piller, Cécile Rahuel, Véronique Piller, C Salmon, Dominique Blanchard, Rafaël Oriol, Céline Mulet, Jacques Le Pendu, Charles T. Salmon and Jacqueline London. Their work appears in journals such as European Journal of Biochemistry, British Journal of Haematology, Vox Sanguinis, Journal of Biological Chemistry and The Lancet.

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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