Patrick Haddad

417 citations
16 papers · 349 · h-index 11

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 7
    • Immunodeficiency and Autoimmune Disorders 2
    • Cancer therapeutics and mechanisms 1

Patrick Haddad

16 papers receiving 344 citations

Peers

Patrick Haddad
Comparison fields: 5 of 62
  • Immunology 203
  • Transplantation 10
  • Hematology 37
  • Virology 14
  • Immunology and Allergy 16
Replace J H Boot with:
J H Boot Netherlands
ALAIN FISCHER France
E Nößner Germany
Mustapha Cheraï France
Keiko Matsue Japan
M M Hallet France
Sara Lynch Ireland
N Shinohara Japan
Dianne H. Wilson United States
Sarah Goddard United Kingdom
Patrick Haddad relative to J H Boot Netherlands J H Boot's profile →
Citations per field
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J H Boot · 1×
Citations per year

Countries citing papers authored by Patrick Haddad

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Haddad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 199750
2 199150
3 199042
4 200242
5 198833
6 199130
7 199326
8 199024
9 199016
10 199513
11
Involvement of granzyme B and perforin gene expression in the lytic potential of human natural killer cells.
199013
12 20223
13 20233
14
The CTLA-1 gene: a member of the granzyme multigene family in human and murine cytotoxic T cells.
19912
15 19921
16 20171

About Patrick Haddad

Patrick Haddad is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Sociology and Political Science, having authored 16 papers that have together received 349 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), Diabetes and associated disorders (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), HIV Research and Treatment (1 paper), Animal Virus Infections Studies (1 paper), Cancer therapeutics and mechanisms (1 paper) and Race, History, and American Society (1 paper). The work is most often cited by research in Immunology (203 citations), Transplantation (10 citations), Hematology (37 citations), Virology (14 citations) and Immunology and Allergy (16 citations). Patrick Haddad has collaborated with scholars based in France, United States and Lebanon. Frequent co-authors include Marie‐Véronique Clement, M Sasportes, Annie Soulié, D Mathieu-Mahul, Marilyne Sasportes, F Birg, J Hassoun, Luc Xerri, Élisabeth Devilard and Jean‐Gerard Guillet. Their work appears in journals such as International Immunology, Gene, Human Molecular Genetics, BMC Psychology and Human Immunology.

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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