Ghada Ajabnoor

1.1k total citations
44 papers, 705 citations indexed

About

Ghada Ajabnoor is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Ghada Ajabnoor has authored 44 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Epidemiology. Recurrent topics in Ghada Ajabnoor's work include Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Liver Disease Diagnosis and Treatment (6 papers) and Nutritional Studies and Diet (5 papers). Ghada Ajabnoor is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Liver Disease Diagnosis and Treatment (6 papers) and Nutritional Studies and Diet (5 papers). Ghada Ajabnoor collaborates with scholars based in Saudi Arabia, Finland and Egypt. Ghada Ajabnoor's co-authors include Helen M. Coley, Suhad Bahijri, Tim Crook, Anwar Borai, George P. Chrousos, Jumana Y. Al‐Aama, Noor Ahmad Shaik, Aliaa A. Alamoudi, Rajaa Al‐Raddadi and Hanan Jambi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Ghada Ajabnoor

40 papers receiving 692 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ghada Ajabnoor Saudi Arabia 15 267 205 122 113 71 44 705
Antonio J. Ruiz‐Alcaraz Spain 19 362 1.4× 136 0.7× 153 1.3× 43 0.4× 81 1.1× 52 1.1k
Maricela Haghiac United States 13 211 0.8× 187 0.9× 125 1.0× 53 0.5× 22 0.3× 24 1.0k
Hui Ge China 12 376 1.4× 118 0.6× 69 0.6× 64 0.6× 45 0.6× 27 824
Salma A. Abdelmagid Canada 12 263 1.0× 148 0.7× 91 0.7× 73 0.6× 42 0.6× 18 663
Nazila Farrin Iran 11 192 0.7× 186 0.9× 95 0.8× 92 0.8× 30 0.4× 25 549
J Sponarová Czechia 14 348 1.3× 556 2.7× 219 1.8× 119 1.1× 32 0.5× 22 986
Jinyu Yang China 18 232 0.9× 71 0.3× 110 0.9× 35 0.3× 155 2.2× 37 794
Dake Liu China 11 199 0.7× 56 0.3× 82 0.7× 44 0.4× 85 1.2× 23 538
Hongbo Weng China 18 335 1.3× 79 0.4× 132 1.1× 102 0.9× 20 0.3× 30 838
Shengqi Li China 12 225 0.8× 91 0.4× 85 0.7× 46 0.4× 47 0.7× 47 598

Countries citing papers authored by Ghada Ajabnoor

Since Specialization
Citations

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

Fields of papers citing papers by Ghada Ajabnoor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghada Ajabnoor

This figure shows the co-authorship network connecting the top 25 collaborators of Ghada Ajabnoor. A scholar is included among the top collaborators of Ghada Ajabnoor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ghada Ajabnoor. Ghada Ajabnoor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Alqahtani, Saleh A., et al.. (2024). Usefulness of Neck Circumference, Waist-to-Height Ratio and Waist-to-Hip Ratio in Predicting Non-Alcoholic Fatty Liver Disease in Saudi Population Without Type 2 Diabetes. Nutrition and Metabolic Insights. 17. 1548623270–1548623270. 1 indexed citations
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Ajabnoor, Ghada. (2023). The Molecular and Genetic Interactions between Obesity and Breast Cancer Risk. Medicina. 59(7). 1338–1338. 11 indexed citations
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5.
Ajabnoor, Ghada, Suhad Bahijri, Sumia Enani, et al.. (2023). Exploring the Validity of Available Markers and Indices in the Diagnosis of Nonalcoholic Fatty Liver Disease (NAFLD) in People with Type 2 Diabetes in Saudi Arabia. SHILAP Revista de lepidopterología. 11(1). 10–10. 5 indexed citations
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Al‐Raddadi, Rajaa, Suhad Bahijri, Ghada Ajabnoor, et al.. (2021). Gender Differences in The Factors associated with Hypertension in Non-Diabetic Saudi Adults—A Cross-Sectional Study. International Journal of Environmental Research and Public Health. 18(21). 11371–11371. 5 indexed citations
9.
Bahijri, Suhad, Rajaa Al‐Raddadi, Ghada Ajabnoor, et al.. (2020). The Association Between Prediabetes and Dyslipidemia Among Attendants of Primary Care Health Centers in Jeddah, Saudi Arabia. SHILAP Revista de lepidopterología. 2 indexed citations
10.
Shaik, Noor Ahmad, Tariq Masoodi, Preetha J. Shetty, et al.. (2019). Molecular modelling and dynamics of CA2 missense mutations causative to carbonic anhydrase 2 deficiency syndrome. Journal of Biomolecular Structure and Dynamics. 38(14). 4067–4080. 21 indexed citations
11.
Al‐Raddadi, Rajaa, et al.. (2019). Factors associated with adherence to Mediterranean diet among Saudi non-diabetic patients attending primary health care centers: A cross-sectional study. Journal of Taibah University Medical Sciences. 14(2). 139–148. 8 indexed citations
12.
Bahijri, Suhad, Rajaa Al‐Raddadi, Ghada Ajabnoor, et al.. (2019). <p>The Association Between Prediabetes and Dyslipidemia Among Attendants of Primary Care Health Centers in Jeddah, Saudi Arabia</p>. Diabetes Metabolic Syndrome and Obesity. Volume 12. 2735–2743. 23 indexed citations
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Ajabnoor, Ghada, et al.. (2018). Expanded Somatic Mutation Spectrum of MED12 Gene in Uterine Leiomyomas of Saudi Arabian Women. Frontiers in Genetics. 9. 552–552. 20 indexed citations
15.
Alamoudi, Aliaa A., et al.. (2018). Abstract 5813: Thymoquinone influences the anticancer properties of paclitaxel and gemcitabine against breast cancer cells. Cancer Research. 78(13_Supplement). 5813–5813. 3 indexed citations
16.
Shaik, Noor Ahmad, Huda Mohammed Alkreathy, Ghada Ajabnoor, Prashant Kumar Verma, & Babajan Banaganapalli. (2018). Molecular designing, virtual screening and docking study of novel curcumin analogue as mutation (S769L and K846R) selective inhibitor for EGFR. Saudi Journal of Biological Sciences. 26(3). 439–448. 23 indexed citations
17.
Ajabnoor, Ghada, Suhad Bahijri, Noor Ahmad Shaik, et al.. (2017). Ramadan fasting in Saudi Arabia is associated with altered expression of CLOCK, DUSP and IL-1alpha genes, as well as changes in cardiometabolic risk factors. PLoS ONE. 12(4). e0174342–e0174342. 40 indexed citations
18.
Alamoudi, Aliaa A., et al.. (2017). Abstract 4208: Inhibition of proliferation and induction of apoptosis by a novel phytobiological mixture against breast cancer cell lines. Cancer Research. 77(13_Supplement). 4208–4208. 1 indexed citations
19.
Ajabnoor, Ghada, Tim Crook, & Helen M. Coley. (2012). Paclitaxel resistance is associated with switch from apoptotic to autophagic cell death in MCF-7 breast cancer cells. Cell Death and Disease. 3(1). e260–e260. 154 indexed citations
20.
Ajabnoor, Ghada, Patricia Macanas-Pirard, C Shotton, & Helen M. Coley. (2008). Paclitaxel-resistant MCF-7 cells show a caspase-less phenotype but retain sensitivity to many anticancer agents. Cancer Research. 68. 2657–2657. 1 indexed citations

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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