Naïma Abda

767 citations
58 papers · 483 · h-index 13

Impact in

    • Cancer survivorship and care
    • Global Cancer Incidence and Screening
    • Inflammatory Biomarkers in Disease Prognosis
    • Colorectal Cancer Screening and Detection
    • COVID-19 Clinical Research Studies

Papers in

Naïma Abda

49 papers receiving 474 citations

Peers

Naïma Abda
Comparison fields: 5 of 90
  • Oncology 139
  • Infectious Diseases 55
  • Public Health, Environmental and Occupational Health 61
  • Neurology 28
  • Epidemiology 57
Replace Yanfang Wang with:
Yanfang Wang China
Qiao Huang China
Ehsan Shahrestanaki Iran
Joelle I. Rosser United States
Rosana Cipolotti Brazil
Xinghua Shen China
Hadith Rastad Iran
Syed Zulkifli Syed Zakaria Malaysia
Firdaus Hayati Malaysia
Thida Ong United States
Naïma Abda relative to Yanfang Wang China Yanfang Wang's profile →
Citations per field
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Yanfang Wang · 1×
Citations per year

Countries citing papers authored by Naïma Abda

Since Specialization
Citations

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

Fields of papers citing papers by Naïma Abda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201449
2 201435
3 201933
4 201733
5 202129
6 201928
7 202121
8 202016
9 201715
10 202314
11 202013
12 201913
13 202212
14 202112
15 201510
16 20149
17 20219
18 20199
19 20129
20 20179

About Naïma Abda

Naïma Abda is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 58 papers that have together received 483 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (5 papers), Colorectal Cancer Screening and Detection (4 papers), Cervical Cancer and HPV Research (3 papers), COVID-19 Clinical Research Studies (3 papers), Diabetes Management and Research (3 papers), Diabetes Treatment and Management (3 papers), Sleep and related disorders (3 papers) and Innovations in Medical Education (3 papers). The work is most often cited by research in Oncology (139 citations), Infectious Diseases (55 citations), Public Health, Environmental and Occupational Health (61 citations), Neurology (28 citations) and Epidemiology (57 citations). Naïma Abda has collaborated with scholars based in Morocco, Bangladesh and France. Frequent co-authors include Chakib Nejjari, Karima Bendahhou, Rachid Bekkali, Samira El Fakir, Ahmed Zidouh, Karima El Rhazi, Y. Bentata, Hassan Errihani, Abderrazak Hajjıouı and Maryam Fourtassı. Their work appears in journals such as Scientific African, International Journal of Cancer, BMC Cancer, African Journal of Primary Health Care & Family Medicine and Biopreservation and Biobanking.

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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