Naïma Abda

753 citations
58 papers · 465 indexed · h-index 12

Impact in

    • Cancer survivorship and care
    • Global Cancer Incidence and Screening
    • Colorectal Cancer Screening and Detection
    • Cancer Risks and Factors
    • COVID-19 Clinical Research Studies

Papers in

Naïma Abda

50 papers receiving 456 citations

Peers

Naïma Abda
Comparison fields: 5 of 97
  • Oncology 170
  • Infectious Diseases 72
  • Public Health, Environmental and Occupational Health 90
  • Neurology 39
  • Epidemiology 81
Replace Qiao Huang with:
Qiao Huang China
Rachid Razıne Morocco
Yuxiang Li China
Elizabeth Lee United States
Ehsan Shahrestanaki Iran
Nitesh Jain United States
Rosana Cipolotti Brazil
Wanis Ibrahim Qatar
Hadith Rastad Iran
Kent Stobart Canada
Naïma Abda relative to Qiao Huang China Qiao Huang's profile →
Citations per field
00.5×1.5×1.8×
Qiao Huang · 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-authorship network

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
#Work
1 20240
2 20245
3 202312
4 20230
5 20231
6 20231
7 20232
8 20223
9 202211
10 202119
11 20216
12 20210
13 20210
14 20216
15 20213
16 202012
17 20182
18 20166
19 201433
20 20136

About Naïma Abda

Naïma Abda is a scholar working on Infectious Diseases, Neurology, Oncology, Epidemiology and Family Practice, having authored 58 papers that have together received 465 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (12 papers), Long-Term Effects of COVID-19 (10 papers), Global Cancer Incidence and Screening (9 papers), Colorectal Cancer Screening and Detection (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Innovations in Medical Education (4 papers), Multiple and Secondary Primary Cancers (4 papers) and Chronic Disease Management Strategies (3 papers). The work is most often cited by research in Oncology (170 citations), Infectious Diseases (72 citations), Public Health, Environmental and Occupational Health (90 citations), Neurology (39 citations) and Epidemiology (81 citations). Naïma Abda has collaborated with scholars based in Morocco, France and Bangladesh. Frequent co-authors include Chakib Nejjari, Karima Bendahhou, Samira El Fakir, Rachid Bekkali, Karima El Rhazi, Ahmed Zidouh, Hassan Errihani, Y. Bentata, Abderrazak Hajjıouı and Maryam Fourtassı. Their work appears in journals such as Scientific African, International Journal of Cancer, African Journal of Primary Health Care & Family Medicine, BMC Cancer and Frontiers in 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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