Sanjay Kumar Singh

1.3k total citations
52 papers, 945 citations indexed

About

Sanjay Kumar Singh is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Sanjay Kumar Singh has authored 52 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 17 papers in Plant Science and 6 papers in Infectious Diseases. Recurrent topics in Sanjay Kumar Singh's work include Agricultural Science and Fertilization (5 papers), Computational Drug Discovery Methods (5 papers) and Nitrogen and Sulfur Effects on Brassica (5 papers). Sanjay Kumar Singh is often cited by papers focused on Agricultural Science and Fertilization (5 papers), Computational Drug Discovery Methods (5 papers) and Nitrogen and Sulfur Effects on Brassica (5 papers). Sanjay Kumar Singh collaborates with scholars based in India, United States and United Kingdom. Sanjay Kumar Singh's co-authors include Manisha Prajapat, Bikash Medhi, Ajay Prakash, Hardeep Kaur, Nishant Shekhar, Phulen Sarma, Pramod Avti, Subodh Kumar, Carl Erik Olsen and Virinder S. Parmar and has published in prestigious journals such as Scientific Reports, Gene and Frontiers in Plant Science.

In The Last Decade

Sanjay Kumar Singh

46 papers receiving 919 citations

Peers

Sanjay Kumar Singh
Sanjay Kumar Singh
Citations per year, relative to Sanjay Kumar Singh Sanjay Kumar Singh (= 1×) peers Atul Kumar Singh

Countries citing papers authored by Sanjay Kumar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay Kumar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Kumar Singh. A scholar is included among the top collaborators of Sanjay Kumar 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 Sanjay Kumar Singh. Sanjay Kumar 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
2.
Singh, Sanjay Kumar, et al.. (2025). Optimizing concrete mix proportions with zeolite, GGBS, and CDW: a data-driven approach integrating experimental analysis and machine learning models. Engineering Research Express. 7(1). 15105–15105. 6 indexed citations
3.
Singh, Sanjay Kumar, et al.. (2025). Synergistic Effects of Pollarding and Chlormequat Chloride on Growth, Yield, Quality, and Pest-Disease Incidence in Papaya cv. F1-Red Lady Under Controlled Cultivation. Journal of Plant Growth Regulation. 44(7). 4135–4154. 1 indexed citations
4.
Singh, Sanjay Kumar, et al.. (2025). Transforming Plastic Waste into Sustainable Roads: Enhancing Bituminous Mixes With High and Low-Density Polymers. Circular Economy and Sustainability. 5(5). 3939–3972.
5.
Patra, Manas Kumar, M. Karikalan, Z. B. Dubal, et al.. (2024). Kisspeptin stimulates oestradiol biosynthesis by upregulating steroidogenic transcripts and proliferation markers in the bubaline granulosa cells in vitro. Reproduction in Domestic Animals. 59(1). e14523–e14523. 1 indexed citations
6.
Patra, Manas Kumar, Ujjwal Kumar De, Irfan Shah, et al.. (2023). Serum concentrations of secretory leukocyte protease inhibitor and IL6 can predict the onset of sepsis in pyometra bitches. Reproduction in Domestic Animals. 58(6). 802–812. 3 indexed citations
7.
Singh, Sanjay Kumar & M. Sudhakara Reddy. (2021). Computational prediction of the effects of non-synonymous single nucleotide polymorphisms on the GPI-anchor transamidase subunit GPI8p of Plasmodium falciparum. Computational Biology and Chemistry. 92. 107461–107461. 2 indexed citations
8.
Singh, Sanjay Kumar, Atul Kumar Upadhyay, & S. M. Reddy. (2021). Screening of potent drug inhibitors against SARS-CoV-2 RNA polymerase: an in silico approach. 3 Biotech. 11(2). 93–93. 17 indexed citations
9.
Sarma, Phulen, Nishant Shekhar, Manisha Prajapat, et al.. (2020). In-silico homology assisted identification of inhibitor of RNA binding against 2019-nCoV N-protein (N terminal domain). Journal of Biomolecular Structure and Dynamics. 39(8). 2724–2732. 175 indexed citations
10.
Medhi, Bikash, Manisha Prajapat, Phulen Sarma, et al.. (2020). In silico docking and comparative ADMET profile of different glycogen synthase kinase 3 beta inhibitors as the potential leads for the development of anti-Alzheimer drug therapy. Journal of Advanced Pharmaceutical Technology amp Research. 11(4). 194–194. 6 indexed citations
11.
Singh, Sanjay Kumar, et al.. (2017). Heritability, genetic advance and correlation coefficient analysis in Indian mustard (Brassica Juncea (L.) Czern & Coss). Journal of Pharmacognosy and Phytochemistry. 6(1). 356–359. 6 indexed citations
12.
Tomar, Amit, et al.. (2017). Selection parameter analysis for F1 and F2 generations in yellow sarson (Brassica rapa L. var. yellow sarson). Journal of Pharmacognosy and Phytochemistry. 6(1). 96–101.
13.
Tomar, Amit, et al.. (2017). Combining ability (SCA & GCA) and heterotic response analysis in Indian mustard ( Brassica juncea L. Czern & Coss). Journal of Pharmacognosy and Phytochemistry. 6(4). 1999–2004. 2 indexed citations
14.
Wang, Jingxue, et al.. (2016). Comparative Transcriptomic Analysis of Two Brassica napus Near-Isogenic Lines Reveals a Network of Genes That Influences Seed Oil Accumulation. Frontiers in Plant Science. 7. 1498–1498. 11 indexed citations
15.
Singh, Sanjay Kumar, Santosh Kumar Singh, Vinayak Ram Tripathi, & Satyendra Kumar Garg. (2011). An oxidant, detergent and salt stable alkaline protease from Bacillus cereus SIU1. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(57). 12257–12261. 11 indexed citations
16.
Choudhury, Swarup Roy, Sanjay Kumar Singh, Sujit Roy, & Dibyendu N. Sengupta. (2010). An insight into the sequential, structural and phylogenetic properties of banana 1-aminocyclopropane-1-carboxylate synthase 1 and study of its interaction with pyridoxal-5′-phosphate and aminoethoxyvinylglycine. Journal of Biosciences. 35(2). 281–294. 14 indexed citations
17.
Singh, Sanjay Kumar, et al.. (2007). A Synthetic gag p24 Epitope Chemically Coupled to BSA Through a Decaalanine Peptide Enhances HIV Type 1 Serodiagnostic Ability by Several Folds. AIDS Research and Human Retroviruses. 23(1). 153–160. 3 indexed citations
18.
Dixit, Saurabh, et al.. (2006). Anti-filarial activity of novel formulations of albendazole against experimental brugian filariasis. Parasitology. 134(4). 537–544. 22 indexed citations
19.
Parmar, Virinder S., Ajay Kumar, Ashok K. Prasad, et al.. (1999). Synthesis of E- and Z-Pyrazolylacrylonitriles and their evaluation as novel antioxidants. Bioorganic & Medicinal Chemistry. 7(7). 1425–1436. 19 indexed citations
20.
Cook, W. O., et al.. (1989). Regional brain cholinesterase activity in rats injected intraperitoneally with anatoxin-a(s) or paraoxon. Toxicology Letters. 49(1). 29–34. 19 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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