Nada Abbas

20 papers receiving 292 citations

Peers

Nada Abbas
Comparison fields: 5 of 60
  • Health Informatics 16
  • Physiology 74
  • Obstetrics and Gynecology 18
  • Public Health, Environmental and Occupational Health 67
  • Endocrine and Autonomic Systems 12
Replace Rana F. Chehab with:
Rana F. Chehab United States
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Efthymios Kapantais Greece
Sarah Stotz United States
Edward C. Weiss United States
Clothilde Pollet France
Deborah Chan Canada
Diana Gonzales‐Pacheco United States
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Nada Abbas relative to Rana F. Chehab United States Rana F. Chehab's profile →
Citations per field
00.5×10×16×
Rana F. Chehab · 1×
Citations per year

Countries citing papers authored by Nada Abbas

Since Specialization
Citations

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

Fields of papers citing papers by Nada Abbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202158
2 202156
3 202231
4 202226
5 202024
6 202423
7 202117
8 202015
9 202310
10 20219
11 20208
12 20218
13 20225
14 20232
15 20242
16 20242
17 20241
18 20241
19 20231
20 20241

About Nada Abbas

Nada Abbas is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Molecular Biology, Clinical Psychology and Ecology, having authored 23 papers that have together received 300 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (4 papers), Nutritional Studies and Diet (4 papers), Gestational Diabetes Research and Management (2 papers), Agriculture Sustainability and Environmental Impact (2 papers), Breastfeeding Practices and Influences (2 papers), COVID-19 epidemiological studies (1 paper), Gut microbiota and health (1 paper) and Digital Mental Health Interventions (1 paper). The work is most often cited by research in Health Informatics (16 citations), Physiology (74 citations), Obstetrics and Gynecology (18 citations), Public Health, Environmental and Occupational Health (67 citations) and Endocrine and Autonomic Systems (12 citations). Nada Abbas has collaborated with scholars based in Lebanon, United Arab Emirates and United States. Frequent co-authors include Farah Naja, Hadia Radwan, Hayder Hasan, Lara Nasreddine, Rana F. Chehab, Hibeh Shatila, MoezAlIslam E. Faris, Rena Hamadeh, Michele R. Forman and Lamis Jomaa. Their work appears in journals such as International Journal of Environmental Research and Public Health, Frontiers in Nutrition, International Breastfeeding Journal, British Journal Of Nutrition and World Medical & Health Policy.

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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