Anas M. Abdel Rahman

3.3k total citations
101 papers, 2.3k citations indexed

About

Anas M. Abdel Rahman is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Anas M. Abdel Rahman has authored 101 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 22 papers in Physiology and 14 papers in Cancer Research. Recurrent topics in Anas M. Abdel Rahman's work include Metabolomics and Mass Spectrometry Studies (32 papers), Diet and metabolism studies (16 papers) and Advanced biosensing and bioanalysis techniques (12 papers). Anas M. Abdel Rahman is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (32 papers), Diet and metabolism studies (16 papers) and Advanced biosensing and bioanalysis techniques (12 papers). Anas M. Abdel Rahman collaborates with scholars based in Saudi Arabia, Canada and Jordan. Anas M. Abdel Rahman's co-authors include Andreas L. Lopata, Majed Dasouki, Minnie Jacob, Sandip D. Kamath, Mohammed Zourob, Robert Helleur, James W. Dennis, Toshikazu Komoda, Judy Pawling and Raja Chinnappan and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Analytical Biochemistry.

In The Last Decade

Anas M. Abdel Rahman

97 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anas M. Abdel Rahman Saudi Arabia 27 1.3k 414 317 281 190 101 2.3k
Françoise Brignole‐Baudouin France 44 684 0.5× 597 1.4× 318 1.0× 113 0.4× 406 2.1× 171 7.1k
Anton Posch Germany 20 927 0.7× 414 1.0× 187 0.6× 168 0.6× 91 0.5× 39 2.1k
Satoshi Yoshida Japan 26 972 0.7× 99 0.2× 158 0.5× 96 0.3× 207 1.1× 116 2.3k
Andrea S. Bauer Germany 33 1.7k 1.2× 112 0.3× 197 0.6× 91 0.3× 381 2.0× 99 3.1k
Chun‐Lin Chen Taiwan 32 1.7k 1.3× 119 0.3× 200 0.6× 154 0.5× 371 2.0× 175 3.4k
Jing Jin China 33 2.1k 1.6× 55 0.1× 164 0.5× 181 0.6× 326 1.7× 135 3.9k
Isamu Matsumoto Japan 32 1.9k 1.4× 215 0.5× 239 0.8× 105 0.4× 594 3.1× 124 3.0k
Qing Chen China 27 1.2k 0.9× 445 1.1× 143 0.5× 200 0.7× 392 2.1× 77 2.7k
Cosmo Rossi Italy 31 1.5k 1.1× 88 0.2× 148 0.5× 146 0.5× 177 0.9× 70 3.2k

Countries citing papers authored by Anas M. Abdel Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Anas M. Abdel Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anas M. Abdel Rahman. 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 Anas M. Abdel Rahman. The network helps show where Anas M. Abdel Rahman may publish in the future.

Co-authorship network of co-authors of Anas M. Abdel Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Anas M. Abdel Rahman. A scholar is included among the top collaborators of Anas M. Abdel Rahman 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 Anas M. Abdel Rahman. Anas M. Abdel Rahman 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.
Al‐Ansari, Mysoon M., et al.. (2025). The MDA-MB-231 Breast Cancer Cell Secretomes Modify Metabolomes of Pseudomonas aeruginosa Breast Microbiome. International Journal of Molecular Sciences. 26(11). 5003–5003. 1 indexed citations
2.
Al‐Khaldi, Samiyah, et al.. (2024). Comparative Analysis of Breast Cancer Metabolomes Highlights Fascin’s Central Role in Regulating Key Pathways Related to Disease Progression. International Journal of Molecular Sciences. 25(14). 7891–7891. 1 indexed citations
3.
Alqahtani, Faleh, Thamer H. Albekairi, Shereen M. Aleidi, et al.. (2024). Metabolomics and pathways analyses in traumatic brain injury animal model. Journal of King Saud University - Science. 36(11). 103470–103470. 2 indexed citations
4.
You, Mikyoung, Hanan E. Shamseldin, Blake R. Rushing, et al.. (2024). Further delineation of the phenotypic and metabolomic profile of ALDH1L2‐related neurodevelopmental disorder. Clinical Genetics. 105(5). 488–498. 1 indexed citations
5.
Benabdelkamel, Hicham, Khalid Akkour, Assim A. Alfadda, et al.. (2024). Metabolomic Profiling of Blood Plasma in Females with Hyperplasia and Endometrial Cancer. Metabolites. 14(2). 109–109. 4 indexed citations
7.
Jacob, Minnie, Afshan Masood, & Anas M. Abdel Rahman. (2023). Multi-Omics Profiling in PGM3 and STAT3 Deficiencies: A Tale of Two Patients. International Journal of Molecular Sciences. 24(3). 2406–2406. 2 indexed citations
8.
Alodaib, Ahmad, et al.. (2023). Biomarker discovery in galactosemia: Metabolomics with UPLC/HRMS in dried blood spots. Frontiers in Molecular Biosciences. 10. 8 indexed citations
10.
Aleidi, Shereen M., et al.. (2023). Metabolomics in diabetes mellitus: clinical insight. Expert Review of Proteomics. 20(12). 451–467. 3 indexed citations
11.
Jafari, Maziar, et al.. (2023). A diagnostic electrochemical aptasensor development for sCD80 protein detection in human serum. Biosensors and Bioelectronics. 242. 115696–115696. 5 indexed citations
12.
Aleidi, Shereen M., et al.. (2022). Lipidomics Profiling of Patients with Low Bone Mineral Density (LBMD). International Journal of Molecular Sciences. 23(19). 12017–12017. 27 indexed citations
13.
Al‐Ansari, Mysoon M., et al.. (2022). Proteomics Profiling of Osteoporosis and Osteopenia Patients and Associated Network Analysis. International Journal of Molecular Sciences. 23(17). 10200–10200. 19 indexed citations
14.
Jacob, Minnie, et al.. (2022). Metabolomics Profiling of Nephrotic Syndrome towards Biomarker Discovery. International Journal of Molecular Sciences. 23(20). 12614–12614. 7 indexed citations
15.
Al‐Ansari, Mysoon M., et al.. (2021). Insecticidal, antimicrobial and antioxidant activities of essential oil from Lavandula latifolia L. and its deterrent effects on Euphoria leucographa. Industrial Crops and Products. 170. 113740–113740. 28 indexed citations
16.
Alterki, Abdulmohsen, Thangavel Alphonse Thanaraj, Irina Al‐Khairi, et al.. (2020). Targeted Metabolomics Analysis on Obstructive Sleep Apnea Patients after Multilevel Sleep Surgery. Metabolites. 10(9). 358–358. 11 indexed citations
17.
Chinnappan, Raja, et al.. (2020). Aptamer selection and aptasensor construction for bone density biomarkers. Talanta. 224. 121818–121818. 24 indexed citations
18.
Benabdelkamel, Hicham, Meshail Okla, Afshan Masood, et al.. (2020). Serum-Based Proteomics Profiling in Adult Patients with Cystic Fibrosis. International Journal of Molecular Sciences. 21(19). 7415–7415. 14 indexed citations
19.
Jacob, Minnie, Xian Luo, Hamoud Al‐Mousa, et al.. (2019). Metabolomics Distinguishes DOCK8 Deficiency from Atopic Dermatitis: Towards a Biomarker Discovery. Metabolites. 9(11). 274–274. 19 indexed citations
20.
Rahman, Anas M. Abdel, Sébastien Gagné, & Robert Helleur. (2012). Simultaneous determination of two major snow crab aeroallergens in processing plants by use of isotopic dilution tandem mass spectrometry. Analytical and Bioanalytical Chemistry. 403(3). 821–831. 18 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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