Khalid Khalaf Alharbi

1.1k total citations
59 papers, 750 citations indexed

About

Khalid Khalaf Alharbi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Khalid Khalaf Alharbi has authored 59 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 20 papers in Endocrinology, Diabetes and Metabolism and 16 papers in Surgery. Recurrent topics in Khalid Khalaf Alharbi's work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Lipoproteins and Cardiovascular Health (8 papers) and Metabolism, Diabetes, and Cancer (6 papers). Khalid Khalaf Alharbi is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Lipoproteins and Cardiovascular Health (8 papers) and Metabolism, Diabetes, and Cancer (6 papers). Khalid Khalaf Alharbi collaborates with scholars based in Saudi Arabia, United Kingdom and India. Khalid Khalaf Alharbi's co-authors include Imran Ali Khan, Yazeed A. Al‐Sheikh, Rabbani Syed, Amal F. Alshammary, Zeinab Abotalib, May Al-Nbaheen, Ian N.M. Day, Nasser M. Al‐Daghri, Manal Abudawood and Vishal Vennu and has published in prestigious journals such as PLoS ONE, Clinical Chemistry and International Journal of Environmental Research and Public Health.

In The Last Decade

Khalid Khalaf Alharbi

56 papers receiving 734 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khalid Khalaf Alharbi Saudi Arabia 17 202 179 154 144 118 59 750
Konstantinos Arvanitidis Greece 19 290 1.4× 151 0.8× 73 0.5× 145 1.0× 83 0.7× 44 920
Shanming Hu United States 16 172 0.9× 92 0.5× 199 1.3× 105 0.7× 127 1.1× 31 892
Nikolaos Tountas Greece 14 414 2.0× 108 0.6× 464 3.0× 150 1.0× 132 1.1× 27 1.2k
Luis Carlos Olivar Venezuela 9 138 0.7× 134 0.7× 174 1.1× 81 0.6× 66 0.6× 20 690
Danielle J. Borg Australia 17 210 1.0× 325 1.8× 285 1.9× 171 1.2× 100 0.8× 39 967
Wenjuan Li China 19 403 2.0× 136 0.8× 132 0.9× 62 0.4× 143 1.2× 32 832
Parveen Jahan India 20 165 0.8× 115 0.6× 99 0.6× 111 0.8× 45 0.4× 63 918
Paola Coppola Italy 15 413 2.0× 136 0.8× 242 1.6× 188 1.3× 210 1.8× 37 1.2k
Gong‐Hao He China 17 515 2.5× 128 0.7× 148 1.0× 61 0.4× 98 0.8× 69 1.1k
Hajime Nagase Japan 18 308 1.5× 428 2.4× 94 0.6× 89 0.6× 114 1.0× 46 1.1k

Countries citing papers authored by Khalid Khalaf Alharbi

Since Specialization
Citations

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

Fields of papers citing papers by Khalid Khalaf Alharbi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khalid Khalaf Alharbi. 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 Khalid Khalaf Alharbi. The network helps show where Khalid Khalaf Alharbi may publish in the future.

Co-authorship network of co-authors of Khalid Khalaf Alharbi

This figure shows the co-authorship network connecting the top 25 collaborators of Khalid Khalaf Alharbi. A scholar is included among the top collaborators of Khalid Khalaf Alharbi 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 Khalid Khalaf Alharbi. Khalid Khalaf Alharbi 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
2.
Imtiaz, Faiqa, Amal Alhashem, Amal Alhashem, et al.. (2024). ANKS6 Variants Underlie Polycystic Kidneys in Prenatal and Neonatal Cases. Genes. 15(11). 1374–1374.
3.
Alshammary, Amal F., et al.. (2022). T-Cell Subsets and Interleukin-10 Levels Are Predictors of Severity and Mortality in COVID-19: A Systematic Review and Meta-Analysis. Frontiers in Medicine. 9. 852749–852749. 11 indexed citations
4.
Alharbi, Khalid Khalaf, et al.. (2021). Relationship Between Serum Amyloid A1 (SAA1) Gene Polymorphisms Studies with Obesity in the Saudi Population. Diabetes Metabolic Syndrome and Obesity. Volume 14. 895–900. 14 indexed citations
5.
Alharbi, Khalid Khalaf, et al.. (2021). Screening of mitochondrial mutations in Saudi women diagnosed with gestational diabetes mellitus: A non-replicative case-control study. Saudi Journal of Biological Sciences. 29(1). 360–365. 7 indexed citations
6.
Alshammary, Amal F., et al.. (2021). Metabolic Syndrome and Coronary Artery Disease Risk: A Meta-Analysis of Observational Studies. International Journal of Environmental Research and Public Health. 18(4). 1773–1773. 45 indexed citations
7.
Mateen, Ayesha, et al.. (2018). Purification and MIC analysis of antimicrobial proteins from Cucumis sativus L. seeds. BMC Complementary and Alternative Medicine. 18(1). 121–121. 10 indexed citations
8.
Almigbal, Turky H., et al.. (2018). Role of Apolipoprotein E gene polymorphism in the risk of familial hypercholesterolemia: a case-control study. Acta Biochimica Polonica. 65(3). 415–420. 7 indexed citations
9.
Alharbi, Khalid Khalaf, et al.. (2017). Association of Apolipoprotein E Polymorphism with Impact on Overweight University Pupils. Genetic Testing and Molecular Biomarkers. 21(1). 53–57. 13 indexed citations
10.
Alharbi, Khalid Khalaf, et al.. (2017). Molecular genetic studies in Saudi population; identified variants from GWAS and meta-analysis in stroke. Saudi Journal of Biological Sciences. 25(1). 83–89. 5 indexed citations
12.
Ravi, Vinod, Pandurangan Vijayanand, Noor Ahmad Shaik, et al.. (2015). Correlation between EGFR Gene Mutations and Lung Cancer: a Hospital-Based Study. Asian Pacific Journal of Cancer Prevention. 16(16). 7071–7076. 6 indexed citations
13.
Alharbi, Khalid Khalaf, et al.. (2015). The genetic polymorphism in the STK11 does not affect gestational diabetes. Acta Biochimica Polonica. 62(3). 569–572. 6 indexed citations
14.
Erzurumluoglu, A. Mesut, Muslim M. Alsaadi, Santiago Rodrı́guez, et al.. (2015). Proxy Molecular Diagnosis from Whole-Exome Sequencing Reveals Papillon-Lefevre Syndrome Caused by a Missense Mutation in CTSC. PLoS ONE. 10(3). e0121351–e0121351. 5 indexed citations
15.
Alharbi, Khalid Khalaf, Imran Ali Khan, & Rabbani Syed. (2014). Association of Apolipoprotein E Polymorphism with Type 2 Diabetes Mellitus in a Saudi Population. DNA and Cell Biology. 33(9). 637–641. 25 indexed citations
16.
Alharbi, Khalid Khalaf, et al.. (2014). Association of the genetic variants of insulin receptor substrate 1 (IRS-1) with type 2 diabetes mellitus in a Saudi population. Endocrine. 47(2). 472–477. 29 indexed citations
17.
Abotalib, Zeinab, et al.. (2014). Relationship between the paraoxonase 1 gene glutamine 192 to arginine polymorphism and gestational diabetes mellitus in Saudi women. Clinical Biochemistry. 47(15). 122–125. 17 indexed citations
18.
Abotalib, Zeinab, et al.. (2014). Insertion and deletion polymorphism in the alpha-2B adrenoceptor gene in pregnant women ripens gestational diabetes mellitus. Saudi Journal of Biological Sciences. 23(1). 128–134. 6 indexed citations
19.
Mohieldein, Abdelmarouf, et al.. (2014). Dyslipidemia and reduced total antioxidant status in young adult Saudis with prediabetes. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 9(4). 287–291. 25 indexed citations
20.
Alsaadi, Muslim M., Tom R. Gaunt, C. R. Boustred, et al.. (2012). From a Single Whole Exome Read to Notions of Clinical Screening: Primary Ciliary Dyskinesia and RSPH9 p.Lys268del in the Arabian Peninsula. Annals of Human Genetics. 76(3). 211–220. 16 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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