Mayakrishnan Gopiraman

4.3k total citations
121 papers, 3.5k citations indexed

About

Mayakrishnan Gopiraman is a scholar working on Materials Chemistry, Biomaterials and Organic Chemistry. According to data from OpenAlex, Mayakrishnan Gopiraman has authored 121 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Materials Chemistry, 35 papers in Biomaterials and 34 papers in Organic Chemistry. Recurrent topics in Mayakrishnan Gopiraman's work include Electrospun Nanofibers in Biomedical Applications (32 papers), Nanomaterials for catalytic reactions (31 papers) and Corrosion Behavior and Inhibition (21 papers). Mayakrishnan Gopiraman is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (32 papers), Nanomaterials for catalytic reactions (31 papers) and Corrosion Behavior and Inhibition (21 papers). Mayakrishnan Gopiraman collaborates with scholars based in Japan, South Korea and India. Mayakrishnan Gopiraman's co-authors include Ick Soo Kim, Kesavan Devarayan, Ramasamy Karvembu, Ill‐Min Chung, Kai Wei, Zeeshan Khatri, Dian Deng, Sundaram Ganesh Babu, Byoung‐Suhk Kim and N. Selvakumaran and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Scientific Reports.

In The Last Decade

Mayakrishnan Gopiraman

117 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayakrishnan Gopiraman Japan 37 1.8k 862 830 807 666 121 3.5k
Qibo Zhang China 38 1.5k 0.8× 481 0.6× 241 0.3× 116 0.1× 717 1.1× 156 4.7k
Xiaohu Luo China 26 1.4k 0.7× 374 0.4× 166 0.2× 174 0.2× 186 0.3× 55 2.3k
Ali A. Abd‐Elaal Egypt 25 924 0.5× 430 0.5× 507 0.6× 299 0.4× 207 0.3× 49 1.8k
M. Anbu Kulandainathan India 33 1.3k 0.7× 228 0.3× 302 0.4× 142 0.2× 536 0.8× 81 3.5k
Shuduan Deng China 45 5.8k 3.2× 4.7k 5.4× 503 0.6× 357 0.4× 566 0.8× 159 6.5k
Dangge Gao China 29 824 0.5× 119 0.1× 437 0.5× 858 1.1× 709 1.1× 153 2.7k
Bin Lyu China 27 672 0.4× 113 0.1× 370 0.4× 591 0.7× 563 0.8× 115 2.2k
Xu Cheng China 44 1.6k 0.9× 193 0.2× 1.2k 1.4× 568 0.7× 1.4k 2.1× 153 5.5k
M.A. Abd El‐Ghaffar Egypt 27 546 0.3× 104 0.1× 476 0.6× 354 0.4× 424 0.6× 120 2.2k

Countries citing papers authored by Mayakrishnan Gopiraman

Since Specialization
Citations

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

Fields of papers citing papers by Mayakrishnan Gopiraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayakrishnan Gopiraman

This figure shows the co-authorship network connecting the top 25 collaborators of Mayakrishnan Gopiraman. A scholar is included among the top collaborators of Mayakrishnan Gopiraman 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 Mayakrishnan Gopiraman. Mayakrishnan Gopiraman 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.
Ramkumar, V., A. Bharathi, Mayakrishnan Gopiraman, et al.. (2025). Chemical engineering innovations in nanoparticle-based biosensors for enhanced detection of biological molecules. Chemical Engineering Journal. 507. 160081–160081. 3 indexed citations
2.
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Gopiraman, Mayakrishnan, Muhammad Nauman Sarwar, Seung-Joon Lee, et al.. (2025). NiCoMo nano-alloys embedded B,N,O,F,P-rich fibrous 2D-carbon-nanoflakes/MXene nanocomposites with hierarchical structure for high performance supercapacitors. Advanced Composites and Hybrid Materials. 8(6).
4.
Ramkumar, V., A. Bharathi, Mayakrishnan Gopiraman, & Seong‐Cheol Kim. (2025). Advancements in Metal-Ion Capacitors: Bridging Energy and Power Density for Next-Generation Energy Storage. Energies. 18(5). 1253–1253. 10 indexed citations
5.
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Wang, Ling, Fanghua Liang, Azeem Ullah, et al.. (2025). Green and facile fabrication of high-performance antibacterial nanofiber materials with low cytotoxicity using eggshell membrane hydrolysate. Materials & Design. 254. 114031–114031. 1 indexed citations
7.
Liang, Fanghua, Jeong-Jin Park, Kei Watanabe, et al.. (2025). PVDF‐Nanofibers/PET‐Nonwoven Sandwich Coated with Fine γ‐AlO(OH): A Bilayer Hybrid Composite Separator for Lithium‐Ion Batteries. Advanced Engineering Materials. 27(7).
8.
Iqbal, Muhammad, et al.. (2024). Eggshell membrane as a novel and green platform for the preparation of highly efficient and reversible curcumin-based colorimetric sensor for the monitoring of chicken freshness. International Journal of Biological Macromolecules. 266(Pt 1). 131089–131089. 7 indexed citations
9.
Ramkumar, V., et al.. (2024). Surface modified and advanced magnetoelastic sensors for biomedical application. Surfaces and Interfaces. 48. 104247–104247. 4 indexed citations
10.
Wang, Ling, Fanghua Liang, Mengying Li, et al.. (2024). Flexible Piezoelectric Sensor Based on Two-Dimensional Topological Network of PVDF/DA Composite Nanofiber Membrane. Advanced Fiber Materials. 6(4). 1212–1228. 49 indexed citations
11.
Haider, Md. Kaiser, Azeem Ullah, Mayakrishnan Gopiraman, & Ick Soo Kim. (2024). A review on bioactivity, plant safety, and metal-reducing potential of lignin, its micro/nanostructures, and composites. International Journal of Biological Macromolecules. 294. 139366–139366. 6 indexed citations
12.
Gopiraman, Mayakrishnan, et al.. (2024). Design and Characterization of Polyvinyl Alcohol/Kappa‐Carrageenan Pickering Emulsion Biocomposite Films for Potential Wound Care Applications. Journal of Biomedical Materials Research Part A. 113(1). e37850–e37850. 6 indexed citations
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Sun, Lei, Yingying Cai, Chunhong Zhu, et al.. (2023). Enhanced properties of solid polymer electrolytes by a bilayer nonwoven PET/nanofiber PVDF substrate for use in all-solid-state lithium metal batteries. Journal of Power Sources. 564. 232851–232851. 15 indexed citations
15.
16.
Gopiraman, Mayakrishnan, Somasundaram Saravanamoorthy, Seung‐Hyun Kim, & Ill‐Min Chung. (2017). Interconnected meso/microporous carbon derived from pumpkin seeds as an efficient electrode material for supercapacitors. Carbon letters. 24. 73–81. 6 indexed citations
17.
Gopiraman, Mayakrishnan & Ill‐Min Chung. (2017). Multifunctional human-hair nanocomposites for oxidation of alcohols, aza-Michael reactions and reduction of 2-nitrophenol. Korean Journal of Chemical Engineering. 34(8). 2169–2179. 11 indexed citations
18.
Prabakaran, Mayakrishnan, Seung‐Hyun Kim, Venkatesan Hemapriya, et al.. (2016). Rhus verniciflua as a green corrosion inhibitor for mild steel in 1 M H2SO4. RSC Advances. 6(62). 57144–57153. 63 indexed citations
19.
Khatri, Zeeshan, et al.. (2014). Cold pad-batch dyeing of cellulose nanofibers with reactive dyes. Cellulose. 21(4). 3089–3095. 51 indexed citations
20.
Devarayan, Kesavan, et al.. (2013). Synthesis of novel photosensitive polymers for the protection of mild steel from acid corrosion. RSC Advances. 3(38). 17039–17039. 18 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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