Muhammad Ali

3.3k total citations · 1 hit paper
121 papers, 2.7k citations indexed

About

Muhammad Ali is a scholar working on Organic Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Muhammad Ali has authored 121 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Organic Chemistry, 30 papers in Molecular Biology and 20 papers in Computational Theory and Mathematics. Recurrent topics in Muhammad Ali's work include Synthesis and biological activity (39 papers), Computational Drug Discovery Methods (20 papers) and SARS-CoV-2 and COVID-19 Research (13 papers). Muhammad Ali is often cited by papers focused on Synthesis and biological activity (39 papers), Computational Drug Discovery Methods (20 papers) and SARS-CoV-2 and COVID-19 Research (13 papers). Muhammad Ali collaborates with scholars based in Pakistan, United States and Bangladesh. Muhammad Ali's co-authors include Muhammad Taha, Fazal Rahim, Khalid Mohammed Khan, Mohammad A. Halim, Nor Hadiani Ismail, Syahrul Imran, Shahnaz Perveen, Rajib Islam, Abdulla Al Mamun and Md Nayeem Hossain and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Muhammad Ali

114 papers receiving 2.7k citations

Hit Papers

A molecular modeling approach to identify effective antiv... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Ali Pakistan 32 1.4k 784 626 345 326 121 2.7k
Samir Chtita Morocco 31 1.5k 1.0× 770 1.0× 1.3k 2.1× 174 0.5× 150 0.5× 242 2.9k
Sankaranarayanan Murugesan India 32 1.7k 1.1× 1.1k 1.4× 449 0.7× 97 0.3× 307 0.9× 204 3.4k
Gabriel Navarrete‐Vázquez Mexico 35 1.5k 1.0× 1.2k 1.6× 288 0.5× 454 1.3× 173 0.5× 145 3.6k
İsmail Çeli̇k Türkiye 27 1.0k 0.7× 843 1.1× 443 0.7× 132 0.4× 191 0.6× 190 2.6k
Zaheer Ul‐Haq Pakistan 34 2.0k 1.4× 1.6k 2.0× 923 1.5× 361 1.0× 316 1.0× 303 4.7k
Feroz Khan India 38 1.1k 0.8× 1.7k 2.1× 608 1.0× 149 0.4× 186 0.6× 203 4.0k
Dharmendra Kumar Yadav India 33 760 0.5× 1.5k 1.9× 574 0.9× 127 0.4× 220 0.7× 196 3.7k
Anna K. Schrey Germany 14 718 0.5× 1.0k 1.3× 873 1.4× 130 0.4× 154 0.5× 24 2.5k
Shafi Mahmud Bangladesh 34 492 0.3× 1.2k 1.5× 660 1.1× 141 0.4× 513 1.6× 96 2.9k
Tahar Lakhlifi Morocco 24 1.1k 0.7× 585 0.7× 1.2k 1.9× 84 0.2× 220 0.7× 197 2.6k

Countries citing papers authored by Muhammad Ali

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Ali. A scholar is included among the top collaborators of Muhammad Ali 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 Muhammad Ali. Muhammad Ali 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.
Stewart, J.R., et al.. (2025). Elucidating gas phase microstructures of therapeutic deep eutectic systems. The Analyst. 150(9). 1846–1855. 2 indexed citations
2.
Ali, Muhammad, Shahbaz Shamim, Uzma Salar, et al.. (2024). 2-amino-6-ethoxy-4-arylpyridine-3,5-dicarbonitrile Scaffolds as potential acetylcholinesterase and butyrylcholinesterase inhibitors. Journal of Molecular Structure. 1321. 139863–139863. 8 indexed citations
3.
Taha, Muhammad, Fazal Rahim, Imad Uddin, et al.. (2024). Exploring diabetics II inhibitors based on benzodioxin derivatives, structure activity relationship, molecular docking and ADME property study. Journal of Molecular Structure. 1306. 137797–137797. 2 indexed citations
4.
Rashid, Muhammad, et al.. (2024). Long-Term Efficacy and Safety of Adhesion Prevention Agents in Abdominal and Pelvic Surgeries: A Systematic Review. Cureus. 16(10). e71280–e71280. 2 indexed citations
5.
Rub, Malik Abdul, Naved Azum, Sulaiman Alfaifi, et al.. (2023). Assessment of mixed micellization behavior of amitriptyline hydrochloride and TX-165 surfactant mixture in various media (aqueous/NaCl/urea). Journal of Molecular Liquids. 383. 122073–122073. 10 indexed citations
6.
Stewart, James T., Muhammad Ali, Rajib Islam, et al.. (2023). Antiviral peptides inhibiting the main protease of SARS‐CoV‐2 investigated by computational screening and in vitro protease assay. Journal of Peptide Science. 30(4). 2 indexed citations
7.
Stewart, James T., et al.. (2023). Molecular Modelling, Synthesis, and In-Vitro Assay to Identify Potential Antiviral Peptides Targeting the 3-Chymotrypsin-Like Protease of SARS-CoV-2. International Journal of Peptide Research and Therapeutics. 29(5). 4 indexed citations
10.
Akhter, Hasina, et al.. (2022). Large scale peptide screening against main protease of SARS CoV‐2. Journal of Computational Chemistry. 44(8). 887–901. 7 indexed citations
11.
Ali, Sajid, et al.. (2021). Conservative Treatment can reduce the Rate of Arthroscopic Subacromial Decompression Surgery: A Randomised Control Trial. SHILAP Revista de lepidopterología. 20(3). 214–218. 1 indexed citations
12.
Islam, Md. Aminul, et al.. (2021). Computational screening of 645 antiviral peptides against the receptor-binding domain of the spike protein in SARS-CoV-2. Computers in Biology and Medicine. 136. 104759–104759. 37 indexed citations
13.
Ali, Muhammad, et al.. (2021). EFFECTS OF THREE ORAL ANALGESICS ON POSTOPERATIVE PAIN FOLLOWING ROOT CANAL PREPARATION: A CONTROLLED CLINICAL TRIAL. SHILAP Revista de lepidopterología. 71(2). 526–29.
14.
Mahmud, Shafi, Md. Jahirul Islam, Md. Rimon Parves, et al.. (2021). Designing potent inhibitors against the multidrug resistance P-glycoprotein. Journal of Biomolecular Structure and Dynamics. 40(19). 9403–9415. 5 indexed citations
15.
Das, Susmita, et al.. (2021). Remdesivir analogs against SARS-CoV-2 RNA-dependent RNA polymerase . Journal of Biomolecular Structure and Dynamics. 40(21). 11111–11124. 9 indexed citations
16.
Mamun, Abdulla Al, et al.. (2021). Identification of potent inhibitors against transmembrane serine protease 2 for developing therapeutics against SARS-CoV-2. Journal of Biomolecular Structure and Dynamics. 40(23). 13049–13061. 3 indexed citations
17.
Noutsias, Michel, Hannes Melnyk, Muhammad Ali, et al.. (2020). Dual device closure of a bilobar left atrial appendage with a plug (Watchman 2.5™ 30 mm) and a pacifier (Amulet™ 20 mm) device. Hellenic Journal of Cardiology. 62(1). 81–83. 2 indexed citations
18.
Mamun, Abdulla Al, Rajib Islam, Md Nayeem Hossain, et al.. (2020). Investigating the binding affinity, interaction, and structure-activity-relationship of 76 prescription antiviral drugs targeting RdRp and Mpro of SARS-CoV-2. Journal of Biomolecular Structure and Dynamics. 39(16). 6290–6305. 37 indexed citations
19.
Ali, Muhammad, et al.. (2017). Emergency Autotransfusion for Managing Iatrogenic Hemorrhagic Pericardial Effusion. Journal of Medical Cases. 8(4). 114–116. 2 indexed citations
20.
Taha, Muhammad, Nor Hadiani Ismail, Syahrul Imran, et al.. (2015). Identification of bisindolylmethane–hydrazone hybrids as novel inhibitors of β-glucuronidase, DFT, and in silico SAR intimations. RSC Advances. 6(4). 3276–3289. 31 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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