Ganesan Krishnamoorthy

490 total citations
13 papers, 366 citations indexed

About

Ganesan Krishnamoorthy is a scholar working on Biomaterials, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Ganesan Krishnamoorthy has authored 13 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomaterials, 6 papers in Biomedical Engineering and 3 papers in Materials Chemistry. Recurrent topics in Ganesan Krishnamoorthy's work include Collagen: Extraction and Characterization (7 papers), Bone Tissue Engineering Materials (4 papers) and Silk-based biomaterials and applications (3 papers). Ganesan Krishnamoorthy is often cited by papers focused on Collagen: Extraction and Characterization (7 papers), Bone Tissue Engineering Materials (4 papers) and Silk-based biomaterials and applications (3 papers). Ganesan Krishnamoorthy collaborates with scholars based in India and Nepal. Ganesan Krishnamoorthy's co-authors include Asit Baran Mandal, S. Sadulla, Praveen Kumar Sehgal, M Nidhin, T. P. Sastry, R. Selvakumar, Mukesh Doble, G. Krishnamoorthy, Krishnakumar Velayudhannair and William Titus and has published in prestigious journals such as Journal of Cleaner Production, International Journal of Biological Macromolecules and Environmental Science and Pollution Research.

In The Last Decade

Ganesan Krishnamoorthy

13 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ganesan Krishnamoorthy India 11 205 99 61 43 30 13 366
Serdar Korpayev Türkiye 12 118 0.6× 177 1.8× 95 1.6× 72 1.7× 23 0.8× 24 500
Diana María Escobar‐García Mexico 15 168 0.8× 158 1.6× 30 0.5× 56 1.3× 10 0.3× 31 508
Magdalena Głąb Poland 10 135 0.7× 151 1.5× 53 0.9× 25 0.6× 11 0.4× 19 376
S Rangaraj United Kingdom 12 112 0.5× 115 1.2× 224 3.7× 25 0.6× 21 0.7× 25 528
Bibhas K. Bhunia India 16 270 1.3× 217 2.2× 57 0.9× 72 1.7× 18 0.6× 29 731
Ana‐Maria Seciu‐Grama Romania 12 94 0.5× 81 0.8× 62 1.0× 50 1.2× 13 0.4× 34 360
Sun Mi Zo South Korea 12 374 1.8× 195 2.0× 40 0.7× 61 1.4× 25 0.8× 21 619
Zehra Gün Gök Türkiye 12 164 0.8× 112 1.1× 102 1.7× 23 0.5× 25 0.8× 30 347
Ilenia De Luca Italy 13 142 0.7× 102 1.0× 29 0.5× 33 0.8× 11 0.4× 16 402
G. Deepika India 5 159 0.8× 103 1.0× 58 1.0× 27 0.6× 10 0.3× 8 368

Countries citing papers authored by Ganesan Krishnamoorthy

Since Specialization
Citations

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

Fields of papers citing papers by Ganesan Krishnamoorthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesan Krishnamoorthy

This figure shows the co-authorship network connecting the top 25 collaborators of Ganesan Krishnamoorthy. A scholar is included among the top collaborators of Ganesan Krishnamoorthy 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 Ganesan Krishnamoorthy. Ganesan Krishnamoorthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Krishnamoorthy, Ganesan, Hari Sharan Adhikari, & G. Krishnamoorthy. (2025). Synthesis of SDF-1α-loaded chitosan nanoparticles coated with photosensitizer chlorin e6 for smart near IR light-controlled drug release. Journal of Carbohydrate Chemistry. 44(7-9). 341–360. 1 indexed citations
2.
Titus, William, et al.. (2021). Stable copper nanoparticles as potential antibacterial agent against aquaculture pathogens and human fibroblast cell viability. Biocatalysis and Agricultural Biotechnology. 32. 101932–101932. 19 indexed citations
3.
Velayudhannair, Krishnakumar, et al.. (2021). Anti-bacterial and biocompatibility properties of green synthesized silver nanoparticles using Parkia biglandulosa (Fabales:Fabaceae) leaf extract. Current Research in Green and Sustainable Chemistry. 4. 100112–100112. 21 indexed citations
4.
Krishnamoorthy, Ganesan, Ganesan Krishnamoorthy, M Nidhin, et al.. (2019). Chlorin e6 decorated doxorubicin encapsulated chitosan nanoparticles for photo-controlled cancer drug delivery. International Journal of Biological Macromolecules. 136. 951–961. 33 indexed citations
5.
Krishnamoorthy, Ganesan, et al.. (2019). Design of biostable scaffold based on collagen crosslinked by dialdehyde chitosan with presence of gallic acid. International Journal of Biological Macromolecules. 130. 836–844. 51 indexed citations
6.
Krishnamoorthy, Ganesan, et al.. (2014). Click chemistry approach to conventional vegetable tanning process: accelerated method with improved organoleptic properties. Environmental Science and Pollution Research. 21(18). 10678–10685. 2 indexed citations
7.
Krishnamoorthy, Ganesan, R. Selvakumar, T. P. Sastry, et al.. (2014). Experimental and theoretical studies on Gallic acid assisted EDC/NHS initiated crosslinked collagen scaffolds. Materials Science and Engineering C. 43. 164–171. 38 indexed citations
8.
Krishnamoorthy, Ganesan, R. Selvakumar, T. P. Sastry, Asit Baran Mandal, & Mukesh Doble. (2013). Effect of d-amino acids on collagen fibrillar assembly and stability: Experimental and modelling studies. Biochemical Engineering Journal. 75. 92–100. 14 indexed citations
9.
Krishnamoorthy, Ganesan, Praveen Kumar Sehgal, Asit Baran Mandal, & S. Sadulla. (2012). Novel collagen scaffolds prepared by using unnatural D-amino acids assisted EDC/NHS crosslinking. Journal of Biomaterials Science Polymer Edition. 24(3). 344–364. 24 indexed citations
10.
Krishnamoorthy, Ganesan, Praveen Kumar Sehgal, Asit Baran Mandal, & S. Sadulla. (2012). Development of D‐lysine‐assisted 1‐ethyl‐3‐(3‐dimethylaminopropyl)‐carbodiimide/N‐hydroxysuccinimide‐initiated cross linking of collagen matrix for design of scaffold. Journal of Biomedical Materials Research Part A. 101A(4). 1173–1183. 11 indexed citations
11.
Krishnamoorthy, Ganesan, S. Sadulla, Praveen Kumar Sehgal, & Asit Baran Mandal. (2012). Greener approach to leather tanning process: d-Lysine aldehyde as novel tanning agent for chrome-free tanning. Journal of Cleaner Production. 42. 277–286. 104 indexed citations
12.
Krishnamoorthy, Ganesan, Praveen Kumar Sehgal, Asit Baran Mandal, & S. Sadulla. (2011). Studies on collagen-tannic acid-collagenase ternary system: Inhibition of collagenase against collagenolytic degradation of extracellular matrix component of collagen. Journal of Enzyme Inhibition and Medicinal Chemistry. 27(3). 451–457. 11 indexed citations
13.
Krishnamoorthy, Ganesan, Praveen Kumar Sehgal, Asit Baran Mandal, & S. Sadulla. (2011). Protective Effect of Withania somnifera and Cardiospermum halicacabum Extracts Against Collagenolytic Degradation of Collagen. Applied Biochemistry and Biotechnology. 165(3-4). 1075–1091. 37 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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