Dev Bukhsh Singh

1.2k total citations
45 papers, 500 citations indexed

About

Dev Bukhsh Singh is a scholar working on Molecular Biology, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, Dev Bukhsh Singh has authored 45 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 7 papers in Plant Science. Recurrent topics in Dev Bukhsh Singh's work include Computational Drug Discovery Methods (11 papers), HIV/AIDS drug development and treatment (4 papers) and Biochemical and Molecular Research (3 papers). Dev Bukhsh Singh is often cited by papers focused on Computational Drug Discovery Methods (11 papers), HIV/AIDS drug development and treatment (4 papers) and Biochemical and Molecular Research (3 papers). Dev Bukhsh Singh collaborates with scholars based in India, South Korea and Nepal. Dev Bukhsh Singh's co-authors include Krishna Misra, Manish Gupta, Timir Tripathi, Rajesh K. Kesharwani, Seema Dwivedi, Rajesh Kumar Pathak, Rohit Shukla, G. Tripathi, Durg Vijay Singh and Abhijeet Kumar and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Biomolecular Structure and Dynamics and Advances in biochemical engineering, biotechnology.

In The Last Decade

Dev Bukhsh Singh

42 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dev Bukhsh Singh India 13 215 124 78 59 54 45 500
Vivitri Dewi Prasasty Indonesia 14 205 1.0× 87 0.7× 106 1.4× 73 1.2× 46 0.9× 74 607
Surovi Saikia India 9 249 1.2× 135 1.1× 58 0.7× 58 1.0× 74 1.4× 21 526
Muhammad Nasir Iqbal Pakistan 11 170 0.8× 113 0.9× 54 0.7× 40 0.7× 74 1.4× 47 475
Rohan Patil India 3 221 1.0× 159 1.3× 65 0.8× 60 1.0× 105 1.9× 10 519
Mark Tristan J. Quimque Philippines 13 162 0.8× 103 0.8× 52 0.7× 67 1.1× 64 1.2× 26 447
Peter Chinedu Agu Nigeria 9 212 1.0× 148 1.2× 77 1.0× 61 1.0× 136 2.5× 30 620
Wan Hong-gui China 6 192 0.9× 106 0.9× 47 0.6× 37 0.6× 119 2.2× 9 419
Ofentse Jacob Pooe South Africa 15 336 1.6× 112 0.9× 80 1.0× 86 1.5× 104 1.9× 53 688
Celestine Azubuike Afiukwa Nigeria 8 206 1.0× 134 1.1× 121 1.6× 68 1.2× 132 2.4× 19 612
Shah Faisal Pakistan 9 150 0.7× 71 0.6× 80 1.0× 59 1.0× 119 2.2× 17 480

Countries citing papers authored by Dev Bukhsh Singh

Since Specialization
Citations

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

Fields of papers citing papers by Dev Bukhsh Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dev Bukhsh Singh. 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 Dev Bukhsh Singh. The network helps show where Dev Bukhsh Singh may publish in the future.

Co-authorship network of co-authors of Dev Bukhsh Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Dev Bukhsh Singh. A scholar is included among the top collaborators of Dev Bukhsh Singh 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 Dev Bukhsh Singh. Dev Bukhsh Singh 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.
Avashthi, Himanshu, U. B. Angadi, Dev Bukhsh Singh, et al.. (2025). A systematic review on revolutionizing veterinary drug discovery: harnessing omics data to combat complex diseases in domestic animals. Network Modeling Analysis in Health Informatics and Bioinformatics. 14(1). 1 indexed citations
2.
Singh, Dev Bukhsh, et al.. (2024). Computational resources and chemoinformatics for translational health research. Advances in protein chemistry and structural biology. 139. 27–55. 5 indexed citations
3.
Pant, Shubham, et al.. (2024). Biological big-data sources, problems of storage, computational issues, and applications: a comprehensive review. Knowledge and Information Systems. 66(6). 3159–3209. 8 indexed citations
4.
Singh, Dev Bukhsh, et al.. (2023). Genome annotation and comparative functional analysis of genomic islands in Bordetella pertussis Tohama I, Bordetella parapertussis 12822, and Bordetella bronchiseptica RB50 genomes. Network Modeling Analysis in Health Informatics and Bioinformatics. 12(1). 1 indexed citations
5.
6.
Nath, Ravindra, et al.. (2022). Splice-site identification for exon prediction using bidirectional LSTM-RNN approach. Biochemistry and Biophysics Reports. 30. 101285–101285. 6 indexed citations
7.
Kumar, Sumit, Rajesh Kumar Pathak, Dev Bukhsh Singh, Arun Bhatt, & Mamta Baunthiyal. (2021). Chemo-informatics guided study of natural inhibitors targeting rho GTPase: a lead for treatment of glaucoma. In Silico Pharmacology. 9(1). 4–4. 3 indexed citations
8.
9.
Kumar, Anil, et al.. (2021). Nutritional Significance and Antioxidant-Mediated Antiaging Effects of Finger Millet: Molecular Insights and Prospects. Frontiers in Sustainable Food Systems. 5. 19 indexed citations
10.
Tiwari, Apoorv, et al.. (2021). Simulation studies, 3D QSAR and molecular docking on a point mutation of protein kinase B with flavonoids targeting ovarian Cancer. BMC Pharmacology and Toxicology. 22(1). 68–68. 14 indexed citations
11.
Singh, Dev Bukhsh & Timir Tripathi. (2020). Frontiers in Protein Structure, Function, and Dynamics. 15 indexed citations
12.
Singh, Dev Bukhsh. (2019). The Impact of Pharmacogenomics in Personalized Medicine. Advances in biochemical engineering, biotechnology. 171. 369–394. 27 indexed citations
13.
Singh, Dev Bukhsh & Seema Dwivedi. (2016). Docking and molecular dynamics simulation study of inhibitor 2-Fluoroaristeromycin with anti-malarial drug target PfSAHH. Network Modeling Analysis in Health Informatics and Bioinformatics. 5(1). 5 indexed citations
14.
15.
Singh, Satendra, Dev Bukhsh Singh, Anamika Singh, et al.. (2016). An Approach for Identification of Novel Drug Targets in Streptococcus pyogenes SF370 Through Pathway Analysis. Interdisciplinary Sciences Computational Life Sciences. 8(4). 388–394. 13 indexed citations
16.
Pathak, Rajesh Kumar, et al.. (2014). Binding affinity analysis and ADMET prediction of epigallocatechine gallate (EGCG) derivatives for AP-1 protein: a drug target for liver cancer. Network Modeling Analysis in Health Informatics and Bioinformatics. 3(1). 9 indexed citations
17.
Singh, Dev Bukhsh, Manish Gupta, Durg Vijay Singh, Sushil Kumar Singh, & Krishna Misra. (2013). Docking and in silico ADMET studies of noraristeromycin, curcumin and its derivatives with Plasmodium falciparum SAH hydrolase: A molecular drug target against malaria. Interdisciplinary Sciences Computational Life Sciences. 5(1). 1–12. 39 indexed citations
18.
Durán, Ignacio, Le Liu, David L. Saltman, et al.. (2005). A phase II trial of temsirolimus in metastatic neuroendocrine carcinomas (NECs). Journal of Clinical Oncology. 23(16_suppl). 3096–3096. 4 indexed citations
19.
Singh, Dev Bukhsh. (2003). Ethical issues of pharmacogenetics must be addressed, says Nuffield Council. BMJ. 327(7417). 701.2–701.2. 3 indexed citations
20.
Singh, Dev Bukhsh & D. C. Jain. (1987). Relative toxicity of various organic solvents generally used in screening plant products for insecticidal activity against the house fly Musca domestica L.. 11 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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