M. Prabhakaran

1.5k total citations
66 papers, 1.2k citations indexed

About

M. Prabhakaran is a scholar working on Molecular Biology, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, M. Prabhakaran has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 11 papers in Materials Chemistry and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in M. Prabhakaran's work include Protein Structure and Dynamics (17 papers), Enzyme Structure and Function (10 papers) and DNA and Nucleic Acid Chemistry (8 papers). M. Prabhakaran is often cited by papers focused on Protein Structure and Dynamics (17 papers), Enzyme Structure and Function (10 papers) and DNA and Nucleic Acid Chemistry (8 papers). M. Prabhakaran collaborates with scholars based in United States, India and Japan. M. Prabhakaran's co-authors include Stephen C. Harvey, P. K. Ponnuswamy, Parthasarathy Manavalan, J. Andrew McCammon, V. Renugopalakrishnan, Boryeu Mao, Belur N. Manjula, Michael E. Johnson, V. Sivasankar and Kiyoshi Omine and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

M. Prabhakaran

63 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Prabhakaran United States 17 723 186 149 119 104 66 1.2k
Michael M. Domach United States 23 1.2k 1.7× 161 0.9× 57 0.4× 95 0.8× 118 1.1× 70 1.8k
Zhu Guo China 24 775 1.1× 124 0.7× 33 0.2× 52 0.4× 57 0.5× 80 2.0k
Anna Pawlak Poland 20 588 0.8× 289 1.6× 135 0.9× 56 0.5× 183 1.8× 45 1.4k
Xiaojun Yang China 23 612 0.8× 207 1.1× 254 1.7× 21 0.2× 57 0.5× 70 1.4k
Harvey M. Levy United States 19 854 1.2× 86 0.5× 211 1.4× 67 0.6× 62 0.6× 40 1.3k
Raphael Nudelman Israel 13 601 0.8× 79 0.4× 87 0.6× 48 0.4× 107 1.0× 22 1.2k
Qiong Wu China 25 922 1.3× 41 0.2× 57 0.4× 77 0.6× 25 0.2× 77 1.7k
Hiroyuki Hashimoto Japan 22 595 0.8× 85 0.5× 34 0.2× 49 0.4× 71 0.7× 88 1.8k
Yongli Zhang China 28 1.4k 2.0× 88 0.5× 819 5.5× 230 1.9× 83 0.8× 87 2.7k

Countries citing papers authored by M. Prabhakaran

Since Specialization
Citations

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

Fields of papers citing papers by M. Prabhakaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Prabhakaran

This figure shows the co-authorship network connecting the top 25 collaborators of M. Prabhakaran. A scholar is included among the top collaborators of M. Prabhakaran 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 M. Prabhakaran. M. Prabhakaran 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.
Surendhiran, S., et al.. (2025). Fabrication of phytochemical enriched ZnO grafted on few-layered graphene sheets and evaluation of biological and catalytic activity for degradation of medical effluents. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 341. 126417–126417. 2 indexed citations
2.
Prabhakaran, M., et al.. (2025). A Comprehensive Review on Nanostructured Lipid Carriers. Journal of Drug Delivery and Therapeutics. 15(10). 172–186.
3.
Prabhakaran, M., et al.. (2025). Anomaly Detection in Social Networks using Improved Local Outlier Factor. 1–5. 1 indexed citations
4.
Prabhakaran, M., et al.. (2024). Microfibers release during washing and, removal by tamarind fruit shell carbon filters: Subsequent utilization in crystal violet dye removal from water. Process Safety and Environmental Protection. 193. 132–147. 1 indexed citations
5.
Sumithra, S., Sandeep Prabhu, M. Prabhakaran, & R. Thandaiah Prabu. (2024). Energy Efficient Multimedia Transmission in Wireless Sensor Networks using Enhanced Adaptive Transmission Control Algorithm and Measurement Techniques. Measurement Science Review. 24(6). 255–259. 2 indexed citations
6.
Saravanan, T., et al.. (2024). Impressive predictive model for Breast Cancer based on Machine Learning. EAI Endorsed Transactions on Pervasive Health and Technology. 10. 1 indexed citations
7.
Chicas, Santos Daniel, et al.. (2022). High fluoride in groundwater and associated non-carcinogenic risks at Tiruvannamalai region in Tamil Nadu, India. Ecotoxicology and Environmental Safety. 233. 113335–113335. 29 indexed citations
8.
Prabhakaran, M.. (2021). Analysis and Classification of H&E-Stained Oral Cavity Tumour Gradings Using Convolution Neural Network. International journal of intelligent engineering and systems. 14(5). 517–528. 2 indexed citations
9.
Prabhakaran, M., et al.. (2021). Knee Implant Identification by Fine-Tuning Deep Learning Models. Indian Journal of Orthopaedics. 55(5). 1295–1305. 9 indexed citations
10.
Prabhakaran, M., Suresh Pandian Elumalai, Ramganesh Selvarajan, & V. Prakasam. (2011). High Frequency Induction of Callus from Seedling Explants of Pigeonpea (Cajanus cajan [L] Millsp.) for Genetic Transformation. Current Botany. 2(6). 15–17. 2 indexed citations
11.
Elumalai, Suresh Pandian, M. Prabhakaran, & N. Raaman. (2011). Indole Aecetic Acid (IAA) Levels of Cladodes and Roots in Effect of Mycorrhizal and Actinorhizal Inoculation on C. equisetifolia under Glasshouse Condition. Recent Research in Science and Technology. 3(6). 70–75. 2 indexed citations
13.
Prabhakaran, M., Belur N. Manjula, & Seetharama A. Acharya. (2006). Molecular Modeling Studies of Surface Decoration of Hemoglobin by Maleimide PEG. Artificial Cells Blood Substitutes and Biotechnology. 34(4). 381–393. 12 indexed citations
14.
Prabhakaran, M., M. Dudek, & G. Raghunathan. (2000). Sequencing and model structure of a Naja naja atra protein fragment. Journal of Peptide Research. 56(1). 12–23. 2 indexed citations
15.
Bhaskaran, R., M. Prabhakaran, G. Jayaraman, Chin‐Hui Yu, & P. K. Ponnuswamy. (1996). Internal Packing Conditions and Fluctuations of Amino Acid Residues in Globular Proteins. Journal of Biomolecular Structure and Dynamics. 13(4). 627–639. 8 indexed citations
16.
Krishnamurthy, Thaiya, et al.. (1994). Identification of disulfide bridges in a cardiotoxic peptide by electrospray ionization. Journal of Mass Spectrometry. 23(12). 719–726. 7 indexed citations
17.
Balasubramaniam, A., Sulaiman Sheriff, Michael E. Johnson, et al.. (1994). [D-TRP32]Neuropeptide Y: A Competitive Antagonist of NPY in Rat Hypothalamus. Journal of Medicinal Chemistry. 37(6). 811–815. 57 indexed citations
18.
Prabhakaran, M. & Michael E. Johnson. (1993). Molecular dynamics of sickle and normal hemoglobins. Biopolymers. 33(5). 735–742. 7 indexed citations
19.
Prabhakaran, M.. (1991). Conformational space of α 1–4 glycosidic linkage: A molecular dynamics study. Biochemical and Biophysical Research Communications. 178(1). 192–197. 16 indexed citations
20.
Tan, Robert K.‐Z., M. Prabhakaran, Chang‐Shung Tung, & Stephen C. Harvey. (1988). AUGUR: a program to predict, display and analyze the tertiary structure of B-DNA. Computer applications in the biosciences. 4(1). 147–151. 4 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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