I Khalil

1.0k citations
27 papers · 817 · h-index 13

Impact in

  • Genetics top 5%
    • Diabetes and associated disorders
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 8
    • Immunodeficiency and Autoimmune Disorders 3
    • Diabetes and associated disorders 10

I Khalil

26 papers receiving 790 citations

Peers

I Khalil
Comparison fields: 5 of 69
  • Genetics 520
  • Immunology 375
  • Endocrinology, Diabetes and Metabolism 228
  • Gastroenterology 40
  • Surgery 317
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Mériam Belghith Tunisia
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Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by I Khalil

Since Specialization
Citations

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

Fields of papers citing papers by I Khalil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990271
2 199298
3 199291
4 199656
5 199651
6 199135
7 199434
8 199728
9 199225
10 199320
11 199720
12 199318
13 199314
14 201611
15 201610
16 199110
17
Genetic predisposition and IDDM in Greece.
19935
18
HLA DQA1 and DQB1 study in Algerian type 1 diabetes families.
19934
19
Trans-encoded DQ alpha beta heterodimers confer susceptibility to myasthenia gravis disease.
19934
20 19943

About I Khalil

I Khalil is a scholar working on Immunology, Genetics, Surgery, Endocrinology, Diabetes and Metabolism and Neurology, having authored 27 papers that have together received 817 indexed citations. Recurring topics across this work include Diabetes and associated disorders (10 papers), Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers), Pancreatic function and diabetes (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Myasthenia Gravis and Thymoma (3 papers), Diabetes Management and Research (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Genetics (520 citations), Immunology (375 citations), Endocrinology, Diabetes and Metabolism (228 citations), Gastroenterology (40 citations) and Surgery (317 citations). I Khalil has collaborated with scholars based in France, Hungary and Greece. Frequent co-authors include I Deschamps, J Hors, L Degos, V. Lepage, Reem Al‐Daccak, M Gobet, L d'Auriol, Francis Galibert, Virginia Lepage and Dominique Charron. Their work appears in journals such as International Journal of Immunogenetics, Diabetes, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences 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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