Fatemah Basingab

482 citations
29 papers · 284 · h-index 7

Impact in

Papers in

    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Immune Response and Inflammation 2

Fatemah Basingab

23 papers receiving 276 citations

Peers

Fatemah Basingab
Comparison fields: 5 of 93
  • Modeling and Simulation 74
  • Clinical Psychology 102
  • Health 33
  • Economics and Econometrics 62
  • Infectious Diseases 35
Replace Mohammad Nasrullah with:
Mohammad Nasrullah Canada
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Ji Ji China
Chaohua Li United States
Bhavna Lall South Korea
Tara A. Schwetz United States
Joel A. Mintz United States
Maher Chaar United States
Mohamed Ali Alzain Saudi Arabia
Muhammad Abrar Yousaf Pakistan
Fatemah Basingab relative to Mohammad Nasrullah Canada Mohammad Nasrullah's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fatemah Basingab

Since Specialization
Citations

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

Fields of papers citing papers by Fatemah Basingab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fatemah Basingab, 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 Fatemah Basingab Line = papers co-authored together Fatemah Basingab 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 2020161
2 201644
3 202311
4 20219
5 20227
6 20227
7 20216
8
DNA Methylation Level of Transcription Factor Binding Site in the Promoter Region of Acyl-CoA Synthetase Family Member 3 (ACSF3) in Saudi Autistic Children
20225
9 20245
10 20234
11 20224
12 20213
13 20223
14 20223
15 20242
16 20242
17 20242
18 20221
19 20251
20 20251

About Fatemah Basingab

Fatemah Basingab is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Cognitive Neuroscience, having authored 29 papers that have together received 284 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (4 papers), Nanoplatforms for cancer theranostics (2 papers), Nanoparticle-Based Drug Delivery (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Modeling and Simulation (74 citations), Clinical Psychology (102 citations), Health (33 citations), Economics and Econometrics (62 citations) and Infectious Diseases (35 citations). Fatemah Basingab has collaborated with scholars based in Saudi Arabia, Egypt and Jordan. Frequent co-authors include Hadil Alahdal, Reem Alotaibi, Maryam Ahmadi, David J. Morgan, Alia Aldahlawi, Samaa Abdullah, Mona G. Alharbi, Mohammed M. Jan, Shaza Y.A. Qattan and Ahmed Bahieldin. Their work appears in journals such as Biomedicines, Biomedical Reports, Microbial Pathogenesis, PLoS ONE and Scientific Reports.

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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