Danielle Saadeh

24 papers receiving 404 citations

Peers

Danielle Saadeh
Comparison fields: 5 of 73
  • Applied Microbiology and Biotechnology 42
  • Molecular Medicine 69
  • Immunology and Allergy 32
  • Physiology 85
  • Clinical Psychology 36
Replace Flavia Pennisi with:
Flavia Pennisi Italy
Tae‐Ho Yoon South Korea
Ruth Baron Netherlands
Deema Rahme Lebanon
Jeffrey Chan United States
Khizra Sultana Saudi Arabia
Rania Itani Lebanon
Mohammad Morshad Alam Bangladesh
Rama Shankar Rath India
Lucienne Ouèrmi Burkina Faso
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Citations per field
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Citations per year

Countries citing papers authored by Danielle Saadeh

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Saadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016115
2 201543
3 201342
4 202032
5 202127
6 201623
7 201421
8
Exposure to outdoor air pollution and chronic bronchitis in adults: a case-control study.
201218
9 202014
10 202112
11 202511
12 202210
13 20169
14 20218
15 20207
16 20216
17 20205
18 20225
19 20235
20 20243

About Danielle Saadeh

Danielle Saadeh is a scholar working on Applied Microbiology and Biotechnology, Physiology, Molecular Medicine, Clinical Psychology and Critical Care and Intensive Care Medicine, having authored 29 papers that have together received 422 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (6 papers), COVID-19 and Mental Health (4 papers), Antibiotic Use and Resistance (4 papers), Antibiotic Resistance in Bacteria (3 papers), Smoking Behavior and Cessation (2 papers), Child Nutrition and Water Access (2 papers), Food Allergy and Anaphylaxis Research (2 papers) and Nosocomial Infections in ICU (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (42 citations), Molecular Medicine (69 citations), Immunology and Allergy (32 citations), Physiology (85 citations) and Clinical Psychology (36 citations). Danielle Saadeh has collaborated with scholars based in Lebanon, France and Cyprus. Frequent co-authors include Pascale Salameh, Chantal Rahérison, Isabelle Baldi, Hala Sacre, Souheil R. Hallit, Rita Farah, Chadia Haddad, D. Charpin, Isabella Annesi‐Maesano and Zeina Akiki. Their work appears in journals such as Spinal Cord, BMC Psychology, Environmental Science and Pollution Research, BMC Pulmonary Medicine and International Journal of Infectious Diseases.

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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