Md. Arifuzzaman

419 total citations
21 papers, 315 citations indexed

About

Md. Arifuzzaman is a scholar working on Molecular Biology, Organic Chemistry and Genetics. According to data from OpenAlex, Md. Arifuzzaman has authored 21 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Organic Chemistry and 5 papers in Genetics. Recurrent topics in Md. Arifuzzaman's work include Synthesis and biological activity (5 papers), Cancer Mechanisms and Therapy (3 papers) and Cancer therapeutics and mechanisms (3 papers). Md. Arifuzzaman is often cited by papers focused on Synthesis and biological activity (5 papers), Cancer Mechanisms and Therapy (3 papers) and Cancer therapeutics and mechanisms (3 papers). Md. Arifuzzaman collaborates with scholars based in Bangladesh, South Korea and Japan. Md. Arifuzzaman's co-authors include Raju Dash, Sarmistha Mitra, S. M. Zahid Hosen, Huda Salem AlSalem, A. F. M. Motiur Rahman, Md. Junaid, Ashraf N. Abdalla, Nurul Absar, Amir Hamza and Hamad M. Alkahtani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Macromolecules.

In The Last Decade

Md. Arifuzzaman

21 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md. Arifuzzaman Bangladesh 11 136 103 53 29 26 21 315
Hairong Hu China 12 184 1.4× 62 0.6× 12 0.2× 5 0.2× 24 0.9× 27 347
Martin Maňák Czechia 5 301 2.2× 36 0.3× 34 0.6× 6 0.2× 19 0.7× 9 424
Xiaopei Chen China 11 180 1.3× 44 0.4× 47 0.9× 3 0.1× 76 2.9× 29 462
Adam Jurčík Czechia 6 253 1.9× 31 0.3× 29 0.5× 11 0.4× 16 0.6× 13 359
Katarína Furmanová Czechia 6 244 1.8× 30 0.3× 32 0.6× 12 0.4× 16 0.6× 23 389
Isaac Arnold Emerson India 10 163 1.2× 25 0.2× 58 1.1× 5 0.2× 21 0.8× 36 275
Simone Daminelli Germany 9 298 2.2× 58 0.6× 232 4.4× 14 0.5× 17 0.7× 10 427
Wen Xiao China 10 115 0.8× 25 0.2× 124 2.3× 3 0.1× 26 1.0× 26 378
Minjun Li China 14 394 2.9× 112 1.1× 207 3.9× 8 0.3× 54 2.1× 60 801

Countries citing papers authored by Md. Arifuzzaman

Since Specialization
Citations

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

Fields of papers citing papers by Md. Arifuzzaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Arifuzzaman

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Arifuzzaman. A scholar is included among the top collaborators of Md. Arifuzzaman 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 Md. Arifuzzaman. Md. Arifuzzaman 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.
Arifuzzaman, Md., Eunju Kwon, & Dong Young Kim. (2024). Structural insights into the regulation of protein-arginine kinase McsB by McsA. Proceedings of the National Academy of Sciences. 121(17). e2320312121–e2320312121. 4 indexed citations
2.
AlSalem, Huda Salem, et al.. (2021). Isatin-Hydrazones with Multiple Receptor Tyrosine Kinases (RTKs) Inhibitory Activity and In-Silico Binding Mechanism. Applied Sciences. 11(9). 3746–3746. 17 indexed citations
3.
Abdalla, Ashraf N., et al.. (2021). Quinazolin-4(3H)-one based potential multiple tyrosine kinase inhibitors with excellent cytotoxicity. Journal of Enzyme Inhibition and Medicinal Chemistry. 36(1). 2055–2067. 16 indexed citations
4.
AlSalem, Huda Salem, Md. Arifuzzaman, Hamad M. Alkahtani, et al.. (2020). A Series of Isatin-Hydrazones with Cytotoxic Activity and CDK2 Kinase Inhibitory Activity: A Potential Type II ATP Competitive Inhibitor. Molecules. 25(19). 4400–4400. 36 indexed citations
5.
Arifuzzaman, Md., et al.. (2020). Tracking nucleic acid nanocapsule assembly, cellular uptake and disassembly using a novel fluorescently labeled surfactant. RSC Advances. 10(69). 42349–42353. 3 indexed citations
6.
AlSalem, Huda Salem, et al.. (2020). Synthesis of Novel Potent Biologically Active N-Benzylisatin-Aryl Hydrazones in Comparison with Lung Cancer Drug ‘Gefitinib’. Applied Sciences. 10(11). 3669–3669. 11 indexed citations
7.
Arifuzzaman, Md., et al.. (2020). Targeting galectin-3 by natural glycosides: a computational approach. Network Modeling Analysis in Health Informatics and Bioinformatics. 9(1). 10 indexed citations
8.
Arifuzzaman, Md., Sarmistha Mitra, Raju Das, et al.. (2019). In silico analysis of nonsynonymous single‐nucleotide polymorphisms (nsSNPs) of the SMPX gene. Annals of Human Genetics. 84(1). 54–71. 21 indexed citations
9.
Dash, Raju, Md. Junaid, Sarmistha Mitra, Md. Arifuzzaman, & S. M. Zahid Hosen. (2019). Structure-based identification of potent VEGFR-2 inhibitors from in vivo metabolites of a herbal ingredient. Journal of Molecular Modeling. 25(4). 98–98. 43 indexed citations
10.
Dash, Raju, Md. Arifuzzaman, Sarmistha Mitra, et al.. (2019). Unveiling the Structural Insights into the Selective Inhibition of Protein Kinase D1. Current Pharmaceutical Design. 25(10). 1059–1074. 20 indexed citations
11.
12.
Dash, Raju, Sarmistha Mitra, Md. Arifuzzaman, & S. M. Zahid Hosen. (2018). In silico quest of selective naphthyl-based CREBBP bromodomain inhibitor. In Silico Pharmacology. 6(1). 1–1. 7 indexed citations
13.
Arifuzzaman, Md., et al.. (2018). A Computational workflow for the identification of the potent inhibitor of type II secretion system traffic ATPase of Pseudomonas aeruginosa. Computational Biology and Chemistry. 76. 191–201. 10 indexed citations
14.
Das, Rasel, et al.. (2017). Epitope design of L1 protein for vaccine production against Human Papilloma Virus types 16 and 18. Bioinformation. 13(3). 86–93. 11 indexed citations
15.
Marzan, Lolo Wal, et al.. (2017). A single metabolite production by Escherichia coli BW25113 and its pflA.cra mutant cultivated under microaerobic conditions using glycerol or glucose as a carbon source. Journal of Genetic Engineering and Biotechnology. 15(1). 161–168. 2 indexed citations
16.
Dash, Raju, et al.. (2017). Molecular Insight and Binding Pattern Analysis of Shikonin as a Potential VEGFR-2 Inhibitor. Current Enzyme Inhibition. 13(3). 10 indexed citations
17.
Marzan, Lolo Wal, et al.. (2016). Studies of heat shock protein response isolated from zoomland soil bacterium (Pseudomonas spp.). Indian Journal of Agricultural Research. 50(4). 1 indexed citations
18.
Chowdhury, Abhijit, et al.. (2014). Prevalence of Antimicrobial Sensitivity and resistant Pattern of Gram Positive Cluster Forming Cocci in Clinical Samples. IOSR Journal of Dental and Medical Sciences. 13(1). 53–57. 2 indexed citations
19.
Wu, Zi Liang, Riku Takahashi, Daisuke Sawada, et al.. (2014). In Situ Observation of Ca2+ Diffusion-Induced Superstructure Formation of a Rigid Polyanion. Macromolecules. 47(20). 7208–7214. 24 indexed citations
20.
Shinbo, Yoko, Md. Arifuzzaman, Chieko Wada, et al.. (2003). Prediction of Protein Functions Based on K-Cores of Protein-Protein Interaction Networks and Amino Acid Sequences. Proceedings Genome Informatics Workshop/Genome informatics. 14. 498–499. 41 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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