Sajal Kumar Halder

451 total citations
17 papers, 305 citations indexed

About

Sajal Kumar Halder is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Sajal Kumar Halder has authored 17 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 3 papers in Infectious Diseases. Recurrent topics in Sajal Kumar Halder's work include Computational Drug Discovery Methods (6 papers), Cancer therapeutics and mechanisms (3 papers) and vaccines and immunoinformatics approaches (3 papers). Sajal Kumar Halder is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Cancer therapeutics and mechanisms (3 papers) and vaccines and immunoinformatics approaches (3 papers). Sajal Kumar Halder collaborates with scholars based in Bangladesh, United States and South Korea. Sajal Kumar Halder's co-authors include Md. Ashraful Hasan, Mohammad Mahfuz Ali Khan Shawan, Md Salman Shakil, Md. Sakib Hossen, Ashish Ranjan Sharma, Satya Ranjan Sarker, Piyali Dey, Iqrar Ahmad, M. Sirajul Islam and Girish C. Melkani and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Gene.

In The Last Decade

Sajal Kumar Halder

17 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sajal Kumar Halder Bangladesh 8 133 62 47 44 36 17 305
Mohammad Mahfuz Ali Khan Shawan Bangladesh 10 147 1.1× 61 1.0× 69 1.5× 21 0.5× 36 1.0× 19 352
René B. Khan South Africa 13 216 1.6× 52 0.8× 49 1.0× 21 0.5× 61 1.7× 43 467
Jérôme Dormoi France 13 69 0.5× 46 0.7× 54 1.1× 16 0.4× 33 0.9× 16 378
Akshay R. Yadav India 12 132 1.0× 58 0.9× 59 1.3× 13 0.3× 85 2.4× 46 449
Alaka Sahoo India 10 105 0.8× 69 1.1× 25 0.5× 14 0.3× 57 1.6× 16 309
Amanda Luisa da Fonseca Brazil 11 77 0.6× 61 1.0× 28 0.6× 18 0.4× 29 0.8× 26 323
S. Anusuya India 12 131 1.0× 93 1.5× 70 1.5× 18 0.4× 30 0.8× 41 398
Kartik Mitra India 9 55 0.4× 31 0.5× 35 0.7× 25 0.6× 29 0.8× 14 180
Vinay Kumar Venishetty India 7 144 1.1× 28 0.5× 19 0.4× 99 2.3× 32 0.9× 15 428
Henry Nettey Ghana 14 105 0.8× 38 0.6× 33 0.7× 35 0.8× 23 0.6× 35 566

Countries citing papers authored by Sajal Kumar Halder

Since Specialization
Citations

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

Fields of papers citing papers by Sajal Kumar Halder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sajal Kumar Halder. 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 Sajal Kumar Halder. The network helps show where Sajal Kumar Halder may publish in the future.

Co-authorship network of co-authors of Sajal Kumar Halder

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

All Works

17 of 17 papers shown
1.
Rumon, Md. Mahamudul Hasan, et al.. (2025). The Promise of Functionalized Chitosan‐Based Self‐Healing Hydrogels. Advances in Polymer Technology. 2025(1). 1 indexed citations
2.
Halder, Sajal Kumar, et al.. (2025). Monkeypox: Origin, Transmission, Clinical Manifestations, Prevention, and Therapeutic Options. Interdisciplinary Perspectives on Infectious Diseases. 2025(1). 2522741–2522741. 2 indexed citations
3.
Halder, Sajal Kumar & Girish C. Melkani. (2025). The Interplay of Genetic Predisposition, Circadian Misalignment, and Metabolic Regulation in Obesity. Current Obesity Reports. 14(1). 21–21. 6 indexed citations
4.
Halder, Sajal Kumar, et al.. (2024). Structural diversity and clustering of bacterial flagellar outer domains. Nature Communications. 15(1). 9500–9500. 7 indexed citations
5.
Halder, Sajal Kumar, et al.. (2024). Developing phytocompound-based new drugs against multi-drug-resistant Staphylococcus aureus. Royal Society Open Science. 11(7). 231475–231475. 2 indexed citations
6.
7.
Halder, Sajal Kumar, et al.. (2023). Targeting Shikimate Kinase Pathway of Acinetobacter baumannii: A Structure-Based Computational Approach to Identify Antibacterial Compounds. Journal of Tropical Medicine. 2023. 1–14. 6 indexed citations
8.
Hossen, Md. Sakib, Md. Nazmul Hasan, Sajal Kumar Halder, et al.. (2023). Immunoinformatics-aided rational design of multiepitope-based peptide vaccine (MEBV) targeting human parainfluenza virus 3 (HPIV-3) stable proteins. Journal of Genetic Engineering and Biotechnology. 21(1). 162–162. 5 indexed citations
9.
Shawan, Mohammad Mahfuz Ali Khan, et al.. (2023). Advances in Computational and Bioinformatics Tools and Databases for Designing and Developing a Multi-Epitope-Based Peptide Vaccine. International Journal of Peptide Research and Therapeutics. 29(4). 60–60. 46 indexed citations
10.
Azad, Md. Abul Kalam, et al.. (2023). The potential of phytochemicals against epidermal growth factor receptor tyrosine kinase (EGFRK): an insight from molecular dynamic simulations. Journal of Biomolecular Structure and Dynamics. 42(5). 2482–2493. 3 indexed citations
11.
Halder, Sajal Kumar, et al.. (2023). In Silico Identification and Analysis of Potentially Bioactive Antiviral Phytochemicals against SARS‐CoV‐2: A Molecular Docking and Dynamics Simulation Approach. BioMed Research International. 2023(1). 5469258–5469258. 16 indexed citations
12.
Halder, Sajal Kumar, et al.. (2022). Oxa-376 and Oxa-530 variants of β-lactamase: computational study uncovers potential therapeutic targets ofAcinetobacter baumannii. RSC Advances. 12(37). 24319–24338. 11 indexed citations
13.
Halder, Sajal Kumar, Iqrar Ahmad, Piyali Dey, et al.. (2022). A Comprehensive Study to Unleash the Putative Inhibitors of Serotype2 of Dengue Virus: Insights from an In Silico Structure-Based Drug Discovery. Molecular Biotechnology. 66(4). 612–625. 30 indexed citations
14.
Halder, Sajal Kumar, et al.. (2022). Identification of the most damaging nsSNPs in the human CFL1 gene and their functional and structural impacts on cofilin-1 protein. Gene. 819. 146206–146206. 12 indexed citations
15.
Shakil, Md Salman, et al.. (2021). Using Chitosan or Chitosan Derivatives in Cancer Therapy. SHILAP Revista de lepidopterología. 2(4). 795–816. 60 indexed citations
16.
Halder, Sajal Kumar, et al.. (2021). In silico identification of novel chemical compounds with antituberculosis activity for the inhibition of InhA and EthR proteins from Mycobacterium tuberculosis. Journal of Clinical Tuberculosis and Other Mycobacterial Diseases. 24. 100246–100246. 24 indexed citations
17.
Shawan, Mohammad Mahfuz Ali Khan, Sajal Kumar Halder, & Md. Ashraful Hasan. (2021). Luteolin and abyssinone II as potential inhibitors of SARS-CoV-2: an in silico molecular modeling approach in battling the COVID-19 outbreak. SHILAP Revista de lepidopterología. 45(1). 27–27. 73 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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