C. Muralidharan

1.6k total citations
50 papers, 1.3k citations indexed

About

C. Muralidharan is a scholar working on Biomaterials, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, C. Muralidharan has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomaterials, 11 papers in Materials Chemistry and 9 papers in Biomedical Engineering. Recurrent topics in C. Muralidharan's work include Collagen: Extraction and Characterization (21 papers), Corrosion Behavior and Inhibition (5 papers) and Enzyme Production and Characterization (5 papers). C. Muralidharan is often cited by papers focused on Collagen: Extraction and Characterization (21 papers), Corrosion Behavior and Inhibition (5 papers) and Enzyme Production and Characterization (5 papers). C. Muralidharan collaborates with scholars based in India, Australia and Germany. C. Muralidharan's co-authors include V. John Sundar, C. Rose, Asit Baran Mandal, Jonnalagadda Raghava Rao, K. Kadirvelu, Jayakumar Rajadas, Paruchuri G. Rao, T. Ramasami, A. Gnanamani and Balaraman Madhan and has published in prestigious journals such as Biomaterials, Journal of Cleaner Production and Carbohydrate Polymers.

In The Last Decade

C. Muralidharan

50 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Muralidharan India 22 690 271 175 160 128 50 1.3k
Biyu Peng China 17 441 0.6× 172 0.6× 111 0.6× 96 0.6× 61 0.5× 49 843
Xugang Dang China 24 829 1.2× 464 1.7× 73 0.4× 178 1.1× 39 0.3× 60 1.6k
Nabil Mameri Algeria 21 617 0.9× 275 1.0× 344 2.0× 166 1.0× 129 1.0× 42 1.9k
R. Reshmy India 27 721 1.0× 643 2.4× 458 2.6× 228 1.4× 172 1.3× 60 2.2k
C. Rose India 29 827 1.2× 669 2.5× 462 2.6× 402 2.5× 136 1.1× 71 2.4k
Lijie Huang China 19 549 0.8× 246 0.9× 95 0.5× 140 0.9× 20 0.2× 44 1.4k
Qifeng Dang China 24 565 0.8× 259 1.0× 174 1.0× 249 1.6× 38 0.3× 32 1.6k
Maria Râpă Romania 23 1.1k 1.6× 338 1.2× 61 0.3× 188 1.2× 31 0.2× 101 1.8k
Dongsu Cha China 18 421 0.6× 218 0.8× 119 0.7× 208 1.3× 37 0.3× 26 1.3k
Adina Negrea Romania 23 333 0.5× 287 1.1× 86 0.5× 317 2.0× 54 0.4× 106 1.7k

Countries citing papers authored by C. Muralidharan

Since Specialization
Citations

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

Fields of papers citing papers by C. Muralidharan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Muralidharan

This figure shows the co-authorship network connecting the top 25 collaborators of C. Muralidharan. A scholar is included among the top collaborators of C. Muralidharan 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 C. Muralidharan. C. Muralidharan 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.
Vedaraman, N., et al.. (2020). De-Oiled Karanja Cake as Potential Bio-Additive for Low Salt Raw Skin Preservation. Journal of the American Leather Chemists Association. 115(5). 159–165. 2 indexed citations
2.
Maharajan, Kannan, et al.. (2020). Bacterial cellulose matrix with in situ impregnation of silver nanoparticles via catecholic redox chemistry for third degree burn wound healing. Carbohydrate Polymers. 245. 116573–116573. 80 indexed citations
3.
Rose, C., et al.. (2019). Amino Acid Enriched Proteinous Wastes: Recovery and Reuse in Leather Making. Waste and Biomass Valorization. 11(11). 5793–5807. 26 indexed citations
4.
Sivakumar, V., Resmi Mohan, & C. Muralidharan. (2019). Alternative methods for Salt free / Less salt short term preservation of hides and skins in leather making for sustainable development – A review. Textile & Leather Review. 2(1). 46–52. 5 indexed citations
6.
Rose, C., et al.. (2019). Green processing: minimising harmful substances in leather making. Environmental Science and Pollution Research. 26(7). 6782–6790. 19 indexed citations
7.
Rose, C., et al.. (2018). Thymol enriched bacterial cellulose hydrogel as effective material for third degree burn wound repair. International Journal of Biological Macromolecules. 122. 452–460. 108 indexed citations
8.
Sundar, V. John, et al.. (2017). Studies on Alkaline Protease from Bacillus crolab MTCC 5468 for Applications in Leather Making. Journal of the American Leather Chemists Association. 112(7). 232–239. 5 indexed citations
9.
Rose, C., et al.. (2017). Role of carbohydrases in minimizing use of harmful substances: leather as a case study. Clean Technologies and Environmental Policy. 19(5). 1567–1575. 11 indexed citations
10.
Sivakumar, V., et al.. (2016). Antimicrobial activity of Myrobalan ( Terminalia chebula Retz.) nuts: Application in raw skin preservation for leather making. Indian Journal of Natural Products and Resources. 7(1). 65–68. 7 indexed citations
11.
Rose, C., et al.. (2016). Cleaner processing: a sulphide—free approach for depilation of skins. Environmental Science and Pollution Research. 24(1). 180–188. 27 indexed citations
12.
Jayakumar, Aswathy, Adhigan Murali, Debasis Samanta, et al.. (2015). Synthesis And Characterization Of Semi-interpenetrating Polymer Network Based On Single-walled Carbon Nanotubes. Advanced Materials Letters. 6(9). 790–794. 5 indexed citations
13.
Rose, C., et al.. (2015). Replacement of lime with carbohydrases – a successful cleaner process for leather making. Journal of Cleaner Production. 112. 1122–1127. 21 indexed citations
14.
Mandal, Sujata, S. Natarajan, Suresh Sagadevan, et al.. (2015). Layered clay aqueous dispersion as a novel dye leveling agent in leather processing: Synthesis, characterization and application studies. Applied Clay Science. 115. 17–23. 12 indexed citations
15.
Vijayaraghavan, R., N. Vedaraman, C. Muralidharan, Asit Baran Mandal, & Douglas R. MacFarlane. (2014). Aqueous ionic liquid solutions as alternatives for sulphide-free leather processing. Green Chemistry. 17(2). 1001–1007. 23 indexed citations
16.
Mandal, Sujata, et al.. (2013). Adsorption of Acid Dyes on Hydrotalcite-Like Anionic Clays. Key engineering materials. 571. 57–69. 5 indexed citations
17.
Muralidharan, C., et al.. (2010). An approach towards redefining water quality parameters for leather industry Part 1. Effect of hardness and chlorides in water. Desalination and Water Treatment. 21(1-3). 53–59. 6 indexed citations
18.
Sivakumar, V., et al.. (2009). Use of ultrasound in leather processing Industry: Effect of sonication on substrate and substances – New insights. Ultrasonics Sonochemistry. 17(6). 1054–1059. 24 indexed citations
19.
Vedaraman, N., Gerd Brunner, C. Srinivasakannan, et al.. (2004). Extraction of cholesterol from cattle brain using supercritical carbon dioxide. The Journal of Supercritical Fluids. 32(1-3). 231–242. 18 indexed citations
20.
Rao, Jonnalagadda Raghava, et al.. (2003). Recouping the wastewater: a way forward for cleaner leather processing. Journal of Cleaner Production. 11(5). 591–599. 105 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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