Audrey Sabbagh

4.1k citations
80 papers · 2.6k · h-index 26

Impact in

Papers in

Audrey Sabbagh

77 papers receiving 2.6k citations

Peers

Audrey Sabbagh
Comparison fields: 5 of 130
  • Cancer Research 402
  • Hepatology 194
  • Immunology 534
  • Neurology 297
  • Agronomy and Crop Science 176
Replace Chien‐Kuo Lee with:
Chien‐Kuo Lee Taiwan
Kazunori Imada Japan
Isabelle Marié France
Fadila Guessous United States
Dagmar Stoiber Austria
Aaron Arvey United States
Simone Kashima Brazil
Kam‐Leung Siu Hong Kong
Yong Lin China
Ping An United States
Audrey Sabbagh relative to Chien‐Kuo Lee Taiwan Chien‐Kuo Lee's profile →
Citations per field
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Chien‐Kuo Lee · 1×
Citations per year

Countries citing papers authored by Audrey Sabbagh

Since Specialization
Citations

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

Fields of papers citing papers by Audrey Sabbagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010351
2 2010165
3 2007157
4 2003133
5 2013118
6 2008115
7 2011114
8 2014101
9 2009100
10 201190
11 200874
12 200965
13 201364
14 200456
15 200344
16 201041
17 201336
18 200534
19 201433
20 201933

About Audrey Sabbagh

Audrey Sabbagh is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Molecular Biology, Agronomy and Crop Science and Neurology, having authored 80 papers that have together received 2.6k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (15 papers), Malaria Research and Control (11 papers), Reproductive Physiology in Livestock (10 papers), Neurofibromatosis and Schwannoma Cases (7 papers), Complement system in diseases (7 papers), T-cell and B-cell Immunology (7 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Cancer Research (402 citations), Hepatology (194 citations), Immunology (534 citations), Neurology (297 citations) and Agronomy and Crop Science (176 citations). Audrey Sabbagh has collaborated with scholars based in France, Brazil and Benin. Frequent co-authors include Michel Vidaud, Ivan Bièche, Éric Pasmant, Pierre Darlu, Estella S. Poloni, Eduardo Antônio Donadi, Erick C. Castelli, Brigitte Crouau‐Roy, Béatrice Parfait and Dominique Vidaud. Their work appears in journals such as Scientific Reports, PLoS ONE, Infection Genetics and Evolution, HLA and Genes and Immunity.

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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