Akhil Kumar
About
Akhil Kumar is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology.
According to data from OpenAlex, Akhil Kumar has authored 30 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 10 papers in Molecular Biology and 8 papers in Pharmacology. Recurrent topics in Akhil Kumar's work include Computational Drug Discovery Methods (11 papers), Cholinesterase and Neurodegenerative Diseases (8 papers) and Alzheimer's disease research and treatments (6 papers). Akhil Kumar is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Cholinesterase and Neurodegenerative Diseases (8 papers) and Alzheimer's disease research and treatments (6 papers). Akhil Kumar collaborates with scholars based in India, United States and Czechia. Akhil Kumar's co-authors include Ashok Sharma, Gaurava Srivastava, Sudeep Roy, Arvind Negi, Saripella Srikrishna, Sandeep Kumar Singh, Swati Srivastava, Ivo Provazník, Mira Debnath and Mohammad Hassan Baig and has published in prestigious journals such as Applied Microbiology and Biotechnology, International Journal of Biological Macromolecules and Protein Science.
In The Last Decade
Akhil Kumar
28 papers receiving 473 citations
Peers
Akhil Kumar
Khaled M. Elokely United States
Catherine Koukoulitsa Greece
Yash Pal Singh India
Mohd Fadhlizil Fasihi Mohd Aluwi Malaysia
Surendra Kumar South Korea
Youchao Deng China
Donatella Bagetta Italy
Jorge Peña‐García Spain
Shantini Vijayabalan Malaysia
Ibrahim Damilare Boyenle Nigeria
Citations per year, relative to Akhil Kumar Akhil Kumar (= 1×)
peers
Khaled M. Elokely
Countries citing papers authored by Akhil Kumar
Since
Specialization
Citations
This map shows the geographic impact of Akhil Kumar'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 Akhil Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akhil Kumar more than expected).
Fields of papers citing papers by Akhil Kumar
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Akhil Kumar. 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 Akhil Kumar. The network helps show where Akhil Kumar may publish in the future.
Co-authorship network of co-authors of Akhil Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Akhil Kumar. A scholar is included among the top collaborators of Akhil Kumar 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 Akhil Kumar. Akhil Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Kumar, Akhil, et al.. (2025). Functional and structural characterization of Staphylococcus aureus N‐acetylglucosamine 1‐phosphate uridyltransferase (GlmU ) reveals a redox‐sensitive acetyltransferase activity. Protein Science. 34(4). e70111–e70111.
2.
Dwivedi, Gaurav Raj, Nandini Pathak, Arvind S. Negi, et al.. (2024). Synergistic Antibacterial Activity of Gallic Acid Based Chalcone Indl 2 by Inhibiting Efflux Pump Transporters. Chemistry & Biodiversity. 21(4). e202301820–e202301820.
3.
Kumar, Akhil, et al.. (2024). The evolving landscape of ER-LD contact sites. Frontiers in Cell and Developmental Biology. 12. 1483902–1483902.
4.
Jain, Minish, Ankit Patel, Sanjeev Giri, et al.. (2023). P740: PK, PD AND SAFETY OF FIRST-IN-HUMAN, FIRST-IN-CLASS PHASE I TRIAL (AUR103-101; BHARAT) OF AUR103, AN ORAL CD47 INHIBITOR, IN PATIENTS WITH ADVANCED MALIGNANCIES. HemaSphere. 7(S3). e183727f–e183727f.
5.
Badavath, Vishnu Nayak, Akhil Kumar, Pralok K. Samanta, et al.. (2020). Determination of potential inhibitors based on isatin derivatives against SARS-CoV-2 main protease (mpro): a molecular docking, molecular dynamics and structure-activity relationship studies. Journal of Biomolecular Structure and Dynamics. 40(7). 3110–3128.
6.
Bhattacharya, Sankha, et al.. (2019). Recent Findings and Development of 3D Printing Technology in Pharmaceutical Formulation Development: An Extensive Review. International Journal of Drug Development and Research. 11(4).
7.
Kumar, Akhil, et al.. (2019). Screening of Anti-mycobacterial Phytochemical Compounds for Potential Inhibitors against Mycobacterium Tuberculosis Isocitrate Lyase. Current Topics in Medicinal Chemistry. 19(8). 600–608.
8.
Srivastava, Gaurava, et al.. (2018). Molecular insight into multiple RpoB clinical mutants of Mycobacterium tuberculosis: An attempt to probe structural variations in rifampicin binding site underlying drug resistance. International Journal of Biological Macromolecules. 120(Pt B). 2200–2214.
9.
Kumar, Akhil, Gaurava Srivastava, Arvind Negi, & Ashok Sharma. (2018). Docking, molecular dynamics, binding energy-MM-PBSA studies of naphthofuran derivatives to identify potential dual inhibitors against BACE-1 and GSK-3β. Journal of Biomolecular Structure and Dynamics. 37(2). 275–290.
10.
Srivastava, Gaurava, et al.. (2017). Molecular investigation of active binding site of isoniazid (INH) and insight into resistance mechanism of S315T-MtKatG in Mycobacterium tuberculosis. Tuberculosis. 105. 18–27.
11.
Kumar, Akhil, Gaurava Srivastava, Swati Srivastava, et al.. (2017). Investigation of naphthofuran moiety as potential dual inhibitor against BACE-1 and GSK-3β: molecular dynamics simulations, binding energy, and network analysis to identify first-in-class dual inhibitors against Alzheimer’s disease. Journal of Molecular Modeling. 23(8). 239–239.
12.
Kumar, Akhil, Gaurava Srivastava, & Ashok Sharma. (2017). A physicochemical descriptor based method for effective and rapid screening of dual inhibitors against BACE-1 and GSK-3β as targets for Alzheimer’s disease. Computational Biology and Chemistry. 71. 1–9.
13.
Kumar, Akhil. (2017). Elucidation and Synthetic Design of Biochemical Pathways using novoStoic.
14.
Kumar, Akhil, et al.. (2015). Molecular insight into amyloid oligomer destabilizing mechanism of flavonoid derivative 2-(4′ benzyloxyphenyl)-3-hydroxy-chromen-4-one through docking and molecular dynamics simulations. Journal of Biomolecular Structure and Dynamics. 34(6). 1252–1263.
15.
Kumar, Akhil, et al.. (2015). Structural investigations into the binding mode of novel neolignans Cmp10 and Cmp19 microtubule stabilizers byin silicomolecular docking, molecular dynamics, and binding free energy calculations. Journal of Biomolecular Structure and Dynamics. 34(6). 1232–1240.
16.
Roy, Sudeep, Akhil Kumar, Mohammad Hassan Baig, Michal Masařík, & Ivo Provazník. (2015). Virtual screening, ADMET profiling, molecular docking and dynamics approaches to search for potent selective natural molecules based inhibitors against metallothionein-III to study Alzheimer’s disease. Methods. 83. 105–110.
17.
Kumar, Akhil, et al.. (2015). Molecular docking based virtual screening of natural compounds as potential BACE1 inhibitors: 3D QSAR pharmacophore mapping and molecular dynamics analysis. Journal of Biomolecular Structure and Dynamics. 34(2). 239–249.
18.
Dwivedi, Gaurav Raj, Aastha Singh, Akhil Kumar, et al.. (2015). Gallic acid-based indanone derivative interacts synergistically with tetracycline by inhibiting efflux pump in multidrug resistant E. coli. Applied Microbiology and Biotechnology. 100(5). 2311–2325.
19.
Singh, Sandeep Kumar, et al.. (2014). The Flavonoid Derivative 2-(4′ Benzyloxyphenyl)-3-hydroxy-chromen-4-one Protects Against Aβ42-Induced Neurodegeneration in Transgenic Drosophila: Insights from In Silico and In Vivo Studies. Neurotoxicity Research. 26(4). 331–350.
20.
Kumar, Akhil. (2002). A randomized voting algorithm. 220. 412–419.
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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