Anwar Mohammad

3.7k total citations · 2 hit papers
76 papers, 1.7k citations indexed

About

Anwar Mohammad is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Anwar Mohammad has authored 76 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 18 papers in Infectious Diseases and 11 papers in Computational Theory and Mathematics. Recurrent topics in Anwar Mohammad's work include SARS-CoV-2 and COVID-19 Research (14 papers), Computational Drug Discovery Methods (11 papers) and vaccines and immunoinformatics approaches (8 papers). Anwar Mohammad is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (14 papers), Computational Drug Discovery Methods (11 papers) and vaccines and immunoinformatics approaches (8 papers). Anwar Mohammad collaborates with scholars based in Kuwait, Pakistan and China. Anwar Mohammad's co-authors include Dong‐Qing Wei, Syed Shujait Ali, Muhammad Suleman, Taimoor Ashraf Khan, Søren Brage, Jehad Abubaker, Abbas Khan, Fahd Al‐Mulla, Michael I. Trenell and Inácio Crochemore‐Silva and has published in prestigious journals such as PLoS ONE, Journal of Applied Physiology and Frontiers in Immunology.

In The Last Decade

Anwar Mohammad

68 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents

2014 449 citations Anwar Mohammad et al. profile →
Higher infectivity of the SARS‐CoV‐2 new variants is associated with K417N/T, E484K, and N501Y mutants: An insight from structural data

2021 267 citations Abbas Khan, Muhammad Suleman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anwar Mohammad Kuwait	19	612	481	363	265	194	76	1.7k
Ajay Prakash India	27	728 1.2×	650 1.4×	128 0.4×	110 0.4×	260 1.3×	123	2.4k
Phulen Sarma India	23	726 1.2×	554 1.2×	328 0.9×	85 0.3×	250 1.3×	88	2.2k
Alessia Visconti United Kingdom	16	488 0.8×	679 1.4×	228 0.6×	130 0.5×	33 0.2×	40	2.0k
Yunlin Han China	15	712 1.2×	657 1.4×	256 0.7×	67 0.3×	80 0.4×	39	1.8k
Numan Oezguen United States	28	516 0.8×	1.6k 3.3×	408 1.1×	104 0.4×	240 1.2×	56	3.1k
Yanfeng Xu China	24	1.1k 1.8×	1.3k 2.7×	399 1.1×	97 0.4×	123 0.6×	71	3.1k
Priya Venkatesan United States	22	351 0.6×	378 0.8×	323 0.9×	188 0.7×	30 0.2×	137	2.1k
Chan Yang China	15	1.3k 2.1×	638 1.3×	56 0.2×	135 0.5×	218 1.1×	50	2.0k
Jatin Machhi United States	19	693 1.1×	515 1.1×	230 0.6×	42 0.2×	120 0.6×	34	1.8k
Yuan Huang China	18	1.2k 2.0×	1.2k 2.5×	148 0.4×	66 0.2×	209 1.1×	42	2.8k

Countries citing papers authored by Anwar Mohammad

Since Specialization

Citations

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

Fields of papers citing papers by Anwar Mohammad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anwar Mohammad

This figure shows the co-authorship network connecting the top 25 collaborators of Anwar Mohammad. A scholar is included among the top collaborators of Anwar Mohammad 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 Anwar Mohammad. Anwar Mohammad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mohammad, Anwar, Simone Peloso, & Emanuele Brunesi. (2025). Test-informed in-plane/out-of-plane capacity domain-driven seismic fragility models for masonry infills in reinforced concrete frames. Structures. 76. 109014–109014. 1 indexed citations

Alzaïd, Fawaz, Hossein Arefanian, Anwar Mohammad, et al.. (2025). Unraveling the RKIP–YY1 axis: immune crosstalk in the pathogenesis of metabolic disorders. Frontiers in Immunology. 16. 1675699–1675699.

Alshawaf, Eman, et al.. (2024). Targeting mTOR Kinase with Natural Compounds: Potent ATP-Competitive Inhibition Through Enhanced Binding Mechanisms. Pharmaceuticals. 17(12). 1677–1677.

Alshawaf, Eman, Mohamed Abu‐Farha, Anwar Mohammad, et al.. (2024). Angiopoietin-2 and Angiopoietin-like Proteins with a Prospective Role in Predicting Diabetic Nephropathy. Biomedicines. 12(5). 949–949. 2 indexed citations

Suleman, Muhammad, Norah A. Albekairi, Abdulrahman Alshammari, et al.. (2024). Molecular exploration of natural and synthetic compounds databases for promising hypoxia inducible factor (HIF) Prolyl-4- hydroxylase domain (PHD) inhibitors using molecular simulation and free energy calculations. BMC Chemistry. 18(1). 236–236. 5 indexed citations

Khan, Abbas, Anwar Mohammad, Fahad M. Alshabrmi, et al.. (2024). Discovery of anti-Ebola virus multi-target inhibitors from traditional Chinese medicine database using molecular screening, biophysical investigation, and binding free energy calculations. Journal of Infection and Public Health. 18(2). 102636–102636. 2 indexed citations

Khan, Abbas, Muhammad Zahid, Anwar Mohammad, & Abdelali Agouni. (2024). Structure-guided engineering and molecular simulations to design a potent monoclonal antibody to target aP2 antigen for adaptive immune response instigation against type 2 diabetes. Frontiers in Immunology. 15. 1357342–1357342. 3 indexed citations

Mohammad, Anwar, Eman Alshawaf, Hossein Arefanian, et al.. (2023). Targeting SARS-CoV-2 Macrodomain-1 to Restore the Innate Immune Response Using In Silico Screening of Medicinal Compounds and Free Energy Calculation Approaches. Viruses. 15(9). 1907–1907. 1 indexed citations

Alshammari, Abdulrahman, et al.. (2023). Exploring the natural products chemical space through a molecular search to discover potential inhibitors that target the hypoxia-inducible factor (HIF) prolyl hydroxylase domain (PHD). Frontiers in Pharmacology. 14. 1202128–1202128. 13 indexed citations

10.

Alshawaf, Eman, Mohamed Abu‐Farha, Thangavel Alphonse Thanaraj, et al.. (2023). Exploring the Binding Mechanism of NRG1–ERBB3 Complex and Discovery of Potent Natural Products to Reduce Diabetes-Assisted Breast Cancer Progression. Interdisciplinary Sciences Computational Life Sciences. 15(3). 452–464. 2 indexed citations

11.

Khan, Abbas, Muhammad Suleman, Taimoor Ashraf Khan, et al.. (2022). Blocking key mutated hotspot residues in the RBD of the omicron variant (B.1.1.529) with medicinal compounds to disrupt the RBD-hACE2 complex using molecular screening and simulation approaches. RSC Advances. 12(12). 7318–7327. 26 indexed citations

12.

Suleman, Muhammad, Fazal Akbar, Haji Muhammad Shoaib Khan, et al.. (2022). Screening of immune epitope in the proteome of the Dabie bandavirus, SFTS, to design a protein-specific and proteome-wide vaccine for immune response instigation using an immunoinformatics approaches. Computers in Biology and Medicine. 148. 105893–105893. 15 indexed citations

13.

Hammad, Maha M., et al.. (2022). Structural analysis of setmelanotide binding to MC4R variants in comparison to wild-type receptor. Life Sciences. 307. 120857–120857. 7 indexed citations

14.

Khan, Abbas, Anwar Mohammad, Inamul Haq, et al.. (2021). Structural-Dynamics and Binding Analysis of RBD from SARS-CoV-2 Variants of Concern (VOCs) and GRP78 Receptor Revealed Basis for Higher Infectivity. Microorganisms. 9(11). 2331–2331. 6 indexed citations

15.

Mohammad, Anwar, et al.. (2021). Molecular Simulation-Based Investigation of Highly Potent Natural Products to Abrogate Formation of the nsp10–nsp16 Complex of SARS-CoV-2. Biomolecules. 11(4). 573–573. 17 indexed citations

16.

Mohammad, Anwar, et al.. (2021). Prevalence, Risk Factors, and Comorbidities of Obstructive Sleep Apnea Risk Among a Working Population in Kuwait: A Cross-Sectional Study. Frontiers in Neurology. 12. 620799–620799. 12 indexed citations

17.

Mohammad, Anwar, Ali H. Ziyab, & Talal Mohammad. (2021). Prevalence of Prediabetes and Undiagnosed Diabetes Among Kuwaiti Adults: A Cross-Sectional Study. Diabetes Metabolic Syndrome and Obesity. Volume 14. 2167–2176. 15 indexed citations

18.

Mohammad, Anwar, Jehad Abubaker, & Fahd Al‐Mulla. (2021). Structural modelling of SARS-CoV-2 alpha variant (B.1.1.7) suggests enhanced furin binding and infectivity. Virus Research. 303. 198522–198522. 35 indexed citations

19.

Mohammad, Anwar, et al.. (2013). HLA Class I and II Genotyping by PCR-SSO in Patients with Type-1 Diabetes Mellitus. Iraqi postgraduate Medical Journal. 12(4). 3 indexed citations

20.

Ahmad, Mohammad Zaki, et al.. (2013). Application of Decoy Oligonucleotides as Novel Therapeutic Strategy: A Contemporary Overview. Current Drug Discovery Technologies. 10(1). 71–84. 15 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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