T. P. Krishna Murthy

1.3k total citations
45 papers, 944 citations indexed

About

T. P. Krishna Murthy is a scholar working on Molecular Biology, Computational Theory and Mathematics and Food Science. According to data from OpenAlex, T. P. Krishna Murthy has authored 45 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 10 papers in Food Science. Recurrent topics in T. P. Krishna Murthy's work include Computational Drug Discovery Methods (10 papers), Adsorption and biosorption for pollutant removal (7 papers) and Nanomaterials for catalytic reactions (6 papers). T. P. Krishna Murthy is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Adsorption and biosorption for pollutant removal (7 papers) and Nanomaterials for catalytic reactions (6 papers). T. P. Krishna Murthy collaborates with scholars based in India, Australia and Egypt. T. P. Krishna Murthy's co-authors include R. Hari Krishna, B. S. Gowrishankar, Blessy Baby Mathew, M.N. Chandraprabha, K.R. Sangeetha Gowda, B. Manohar, Manikanta Murahari, K. Samrat, C.R. Manjunatha and S. Girish Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Microbiology.

In The Last Decade

T. P. Krishna Murthy

44 papers receiving 901 citations

Peers

T. P. Krishna Murthy
T. P. Krishna Murthy
Citations per year, relative to T. P. Krishna Murthy T. P. Krishna Murthy (= 1×) peers Regupathi Iyyaswami

Countries citing papers authored by T. P. Krishna Murthy

Since Specialization
Citations

This map shows the geographic impact of T. P. Krishna Murthy'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 T. P. Krishna Murthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. P. Krishna Murthy more than expected).

Fields of papers citing papers by T. P. Krishna Murthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. P. Krishna Murthy. 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 T. P. Krishna Murthy. The network helps show where T. P. Krishna Murthy may publish in the future.

Co-authorship network of co-authors of T. P. Krishna Murthy

This figure shows the co-authorship network connecting the top 25 collaborators of T. P. Krishna Murthy. A scholar is included among the top collaborators of T. P. Krishna Murthy 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 T. P. Krishna Murthy. T. P. Krishna Murthy 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.
Chandraprabha, M.N., et al.. (2024). Optimization of microwave-assisted pectin extraction from walnut shells and evaluation of its physicochemical and biological attributes. Sustainable Chemistry and Pharmacy. 42. 101795–101795. 1 indexed citations
2.
Krishna, R. Hari, et al.. (2024). Defect tuning and its effect on conductivity, dielectric properties of combustion derived nano CeO2: A fuel dependent approach. Ceramics International. 50(22). 47333–47344. 3 indexed citations
4.
Murthy, T. P. Krishna, et al.. (2023). Ligand-based pharmacophore modeling and QSAR approach to identify potential dengue protease inhibitors. Frontiers in Molecular Biosciences. 10. 1106128–1106128. 10 indexed citations
5.
Murthy, T. P. Krishna, et al.. (2023). Comprehensive bioinformatics analysis of structural and functional consequences of deleterious missense mutations in the human QDPR gene. Journal of Biomolecular Structure and Dynamics. 42(11). 5485–5501. 5 indexed citations
6.
Murthy, T. P. Krishna, et al.. (2023). Structure-based virtual screening of natural compounds against wild and mutant (R1155K, A1156T and D1168A) NS3-4A protease of Hepatitis C virus. Journal of Biomolecular Structure and Dynamics. 42(16). 8505–8522. 5 indexed citations
7.
Murthy, T. P. Krishna, et al.. (2023). Valorization of coffee bean processing waste for the sustainable extraction of biologically active pectin. Heliyon. 9(9). e20212–e20212. 24 indexed citations
8.
Skariyachan, Sinosh, T. P. Krishna Murthy, Kunnathur Murugesan Sakthivel, et al.. (2023). Immunoinformatic exploration of a multi-epitope-based peptide vaccine candidate targeting emerging variants of SARS-CoV-2. Frontiers in Microbiology. 14. 1251716–1251716. 14 indexed citations
9.
Karthik, P., et al.. (2023). Non-digestible oligosaccharides-based prebiotics to ameliorate obesity: Overview of experimental evidence and future perspectives. Food Science and Biotechnology. 32(14). 1993–2011. 9 indexed citations
10.
Murthy, T. P. Krishna, et al.. (2022). Articulating target-mining techniques to disinter Alzheimer's specific targets for drug repurposing. Computer Methods and Programs in Biomedicine. 222. 106931–106931. 1 indexed citations
11.
Murthy, T. P. Krishna, et al.. (2022). A bioinformatics approach to the identification of novel deleterious mutations of human TPMT through validated screening and molecular dynamics. Scientific Reports. 12(1). 18872–18872. 8 indexed citations
12.
Pavadai, Parasuraman, et al.. (2021). In silico screening of therapeutic potentials from Strychnos nux-vomica against the dimeric main protease (M pro ) structure of SARS-CoV-2. Journal of Biomolecular Structure and Dynamics. 40(17). 7796–7814. 22 indexed citations
13.
Murthy, T. P. Krishna, et al.. (2021). Computational screening of natural compounds from Salvia plebeia R. Br. for inhibition of SARS-CoV-2 main protease. Vegetos. 35(2). 345–359. 13 indexed citations
14.
Murthy, T. P. Krishna, et al.. (2021). Structural and functional analysis of disease-associated mutations in GOT1 gene: An in silico study. Computers in Biology and Medicine. 136. 104695–104695. 16 indexed citations
15.
Murahari, Manikanta, et al.. (2021). Screening of natural compounds from Cyperus rotundus Linn against SARS-CoV-2 main protease (Mpro): An integrated computational approach. Computers in Biology and Medicine. 134. 104524–104524. 24 indexed citations
16.
Mathew, Blessy Baby, et al.. (2014). Biosorption of Few Heavy Metal Ions Using Agricultural Wastes. 2(1). 1–6. 122 indexed citations
18.
Murthy, T. P. Krishna, et al.. (2014). α-Amylase Production and Applications: A Review. 2(4). 166–175. 139 indexed citations
19.
Harish, A. R., et al.. (2014). Mathematical modeling of thin layer microwave drying kinetics of elephant foot yam (Amorphophallus paeoniifolius).. International Food Research Journal. 21(3). 1045–1051. 13 indexed citations
20.
Murthy, T. P. Krishna & B. Manohar. (2013). Grinding Studies of Mango Ginger: Mathematical Modelling of Particle Size Distribution and Energy Consumption. American journal of food science and technology. 1(4). 70–76. 17 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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