Deepak Singla

1.1k total citations
42 papers, 675 citations indexed

About

Deepak Singla is a scholar working on Molecular Biology, Plant Science and Computational Theory and Mathematics. According to data from OpenAlex, Deepak Singla has authored 42 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Plant Science and 9 papers in Computational Theory and Mathematics. Recurrent topics in Deepak Singla's work include Computational Drug Discovery Methods (9 papers), vaccines and immunoinformatics approaches (7 papers) and Machine Learning in Bioinformatics (5 papers). Deepak Singla is often cited by papers focused on Computational Drug Discovery Methods (9 papers), vaccines and immunoinformatics approaches (7 papers) and Machine Learning in Bioinformatics (5 papers). Deepak Singla collaborates with scholars based in India, United States and Australia. Deepak Singla's co-authors include Gajendra P. S. Raghava, Arun Sharma, Mamoon Rashid, Sandeep Kumar Dhanda, Subhash Mohan Agarwal, Sandeep Singh, Harinder Singh, Alok K. Mondal, Aadil Bathla and Jagat Chauhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Deepak Singla

39 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepak Singla India 17 366 183 136 67 64 42 675
Usman Sumo Friend Tambunan Indonesia 17 450 1.2× 155 0.8× 146 1.1× 47 0.7× 101 1.6× 92 942
Anderson H. Lima Brazil 14 280 0.8× 72 0.4× 91 0.7× 19 0.3× 68 1.1× 43 578
David Shiuan Taiwan 19 527 1.4× 61 0.3× 65 0.5× 90 1.3× 70 1.1× 55 921
Qingye Zhang China 16 393 1.1× 59 0.3× 83 0.6× 95 1.4× 86 1.3× 67 795
Pooja Sharma India 16 358 1.0× 68 0.4× 162 1.2× 20 0.3× 86 1.3× 48 734
J. Brandão-Neto United Kingdom 18 729 2.0× 125 0.7× 135 1.0× 43 0.6× 72 1.1× 55 1.1k
Dallas E. Hughes United States 16 642 1.8× 40 0.2× 84 0.6× 32 0.5× 55 0.9× 27 1.0k
Christopher J. Vavricka Japan 25 825 2.3× 58 0.3× 104 0.8× 239 3.6× 116 1.8× 50 1.7k
Jennifer Geddes‐McAlister Canada 18 481 1.3× 38 0.2× 230 1.7× 85 1.3× 67 1.0× 76 1.2k
Walter M. Bray United States 17 478 1.3× 65 0.4× 29 0.2× 25 0.4× 165 2.6× 32 827

Countries citing papers authored by Deepak Singla

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Singla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Singla

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Singla. A scholar is included among the top collaborators of Deepak Singla 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 Deepak Singla. Deepak Singla 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.
Arya, Preeti, et al.. (2025). Targeting anti-apoptotic mechanisms in tumour cells: Strategies for enhancing Cancer therapy. Bioorganic Chemistry. 159. 108388–108388. 2 indexed citations
2.
Patel, Ekta, S. Hazra, B. S. Gill, et al.. (2025). Mutation in soybean Lox-2 PLAT/LH2 domain through CRISPR/Cas9 reduces seed lipoxygenase activity: responsible for undesirable flavour. Transgenic Research. 34(1). 29–29.
3.
Sharma, Sumit, et al.. (2025). LSDVvac: An immunoinformatics database for vaccine design against lumpy skin disease virus. Computers in Biology and Medicine. 190. 110077–110077.
4.
Kalia, Anu, Gulzar S. Sanghera, Ekta Patel, et al.. (2024). Expression of Trichoderma spp. endochitinase gene improves red rot disease resistance in transgenic sugarcane. PLoS ONE. 19(9). e0310306–e0310306. 1 indexed citations
5.
Kaur, Harmanpreet, G. S. Sidhu, Amandeep Mittal, et al.. (2023). Comparative transcriptomics in alternate bearing cultivar Dashehari reveals the genetic model of flowering in mango. Frontiers in Genetics. 13. 1061168–1061168. 8 indexed citations
6.
Singla, Deepak, et al.. (2023). Comparative mitochondrial genome analysis reveals a candidate ORF for cytoplasmic male sterility in tropical onion. 3 Biotech. 14(1). 6–6. 4 indexed citations
7.
Singla, Deepak, et al.. (2023). DSP: database of disease susceptibility genes in plants. Functional & Integrative Genomics. 23(3). 204–204. 4 indexed citations
8.
Sandhu, Jagdeep Singh, et al.. (2023). Genome engineering of disease susceptibility genes for enhancing resistance in plants. Functional & Integrative Genomics. 23(3). 207–207. 12 indexed citations
9.
Yadav, Inderjit Singh, Subhash Bhardwaj, Jaspal Kaur, et al.. (2022). Whole genome resequencing and comparative genome analysis of three Puccinia striiformis f. sp. tritici pathotypes prevalent in India. PLoS ONE. 17(11). e0261697–e0261697. 4 indexed citations
10.
Pandey, Swaroop Kumar, et al.. (2020). AI3 PREDICTION OF BREAST CANCER USING K-NEAREST NEIGHBOUR: A SUPERVISED MACHINE LEARNING ALGORITHM. Value in Health. 23. S1–S1. 2 indexed citations
11.
Sousa, Gregory L., Christopher J. Day, Chun-Feng David Hou, et al.. (2019). Solution structure, glycan specificity and of phenol oxidase inhibitory activity of Anopheles C-type lectins CTL4 and CTLMA2. Scientific Reports. 9(1). 15191–15191. 10 indexed citations
12.
De, Tanwee Das, Punita Sharma, Tina Thomas, et al.. (2018). Interorgan Molecular Communication Strategies of “Local” and “Systemic” Innate Immune Responses in Mosquito Anopheles stephensi. Frontiers in Immunology. 9. 148–148. 29 indexed citations
13.
Singla, Deepak, et al.. (2017). APMicroDB: A microsatellite database of Acyrthosiphon pisum. Genomics Data. 12. 111–115. 1 indexed citations
14.
Iquebal, Mir Asif, Rukam S. Tomar, Deepak Singla, et al.. (2017). Draft whole genome sequence of groundnut stem rot fungus Athelia rolfsii revealing genetic architect of its pathogenicity and virulence. Scientific Reports. 7(1). 5299–5299. 25 indexed citations
15.
Iquebal, Mir Asif, Khela Ram Soren, Deepak Singla, et al.. (2017). Discovery of Putative Herbicide Resistance Genes and Its Regulatory Network in Chickpea Using Transcriptome Sequencing. Frontiers in Plant Science. 8. 958–958. 20 indexed citations
16.
Dhanda, Sandeep Kumar, Pooja Vir, Deepak Singla, et al.. (2016). A Web-Based Platform for Designing Vaccines against Existing and Emerging Strains of Mycobacterium tuberculosis. PLoS ONE. 11(4). e0153771–e0153771. 17 indexed citations
17.
Sharma, Arun, Deepak Singla, Mamoon Rashid, & Gajendra P. S. Raghava. (2014). Designing of peptides with desired half-life in intestine-like environment. BMC Bioinformatics. 15(1). 282–282. 84 indexed citations
18.
Dhanda, Sandeep Kumar, Deepak Singla, Alok K. Mondal, & Gajendra P. S. Raghava. (2013). DrugMint: a webserver for predicting and designing of drug-like molecules. Biology Direct. 8(1). 28–28. 42 indexed citations
19.
Singla, Deepak, Sandeep Kumar Dhanda, Jagat Chauhan, et al.. (2013). Open Source Software and Web Services for Designing Therapeutic Molecules. Current Topics in Medicinal Chemistry. 13(10). 1172–1191. 18 indexed citations
20.
Rashid, Mamoon, Deepak Singla, Arun Sharma, Manish Kumar, & Gajendra P. S. Raghava. (2009). Hmrbase: a database of hormones and their receptors. BMC Genomics. 10(1). 307–307. 26 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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