A Marcelli-Barge

690 citations
33 papers · 550 · h-index 14

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
  • Genetics top 10%
    • Diabetes and associated disorders

Papers in

    • Diabetes and associated disorders 15
    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 5

A Marcelli-Barge

31 papers receiving 498 citations

Peers

A Marcelli-Barge
Comparison fields: 5 of 69
  • Immunology 229
  • Genetics 279
  • Endocrinology, Diabetes and Metabolism 126
  • Drug Discovery 1
  • Rheumatology 74
Replace Elizabeth A. Calder with:
Elizabeth A. Calder United Kingdom
R Lampis Italy
R. Behboo United States
Clarke Pamela United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by A Marcelli-Barge

Since Specialization
Citations

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

Fields of papers citing papers by A Marcelli-Barge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A Marcelli-Barge. 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 A Marcelli-Barge. The network helps show where A Marcelli-Barge may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197894
2 198274
3 198063
4 199243
5 198532
6
HLA-DR genotype risks in seropositive rheumatoid arthritis.
198432
7 198822
8 198119
9 197518
10 198818
11 198415
12 197314
13
Influence of metabolic and genetic factors on tumour necrosis factor-alpha and lymphotoxin-alpha production in insulin-dependent diabetes mellitus.
199714
14 198213
15 197613
16
[Risk factors in insulin-dependent diabetes].
198613
17 19907
18
HL-A antigens and idiopathic autoimmune hemolytic anemias.
19747
19 19846
20 19875

About A Marcelli-Barge

A Marcelli-Barge is a scholar working on Genetics, Immunology, Surgery, Hematology and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 550 indexed citations. Recurring topics across this work include Diabetes and associated disorders (15 papers), T-cell and B-cell Immunology (7 papers), Pancreatic function and diabetes (7 papers), Blood groups and transfusion (6 papers), Immune Cell Function and Interaction (5 papers), Diabetes Management and Research (3 papers), Spondyloarthritis Studies and Treatments (3 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Immunology (229 citations), Genetics (279 citations), Endocrinology, Diabetes and Metabolism (126 citations), Drug Discovery (1 citation) and Rheumatology (74 citations). A Marcelli-Barge has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include J Hors, J Dausset, J. C. Poirier, H Lestradet, I Deschamps, Marc Busson, L Legrand, M Schmid, L Degos and T Meo. Their work appears in journals such as Diabetologia, Vox Sanguinis, Annals of the Rheumatic Diseases, Journal of Clinical Investigation and Journal of Autoimmunity.

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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