Ganesan Krishnamoorthy

490 citations
13 papers · 366 indexed · h-index 11
Topics
Collagen: Extraction and Characterization (7 papers)Bone Tissue Engineering Materials (4 papers)Silk-based biomaterials and applications (3 papers)
Partner nations
IndiaNepal

In The Last Decade

Ganesan Krishnamoorthy

13 papers receiving 357 citations

Peers

Ganesan Krishnamoorthy
Comparison fields: 5 of 87
  • Biomaterials 205
  • Biomedical Engineering 99
  • Materials Chemistry 61
  • Molecular Biology 43
  • Complementary and alternative medicine 30
Replace Shanta Pokhrel with:
Shanta Pokhrel Nepal
Subhadra Garai India
Rabiatul Basria S. M. N. Mydin Malaysia
Marlon Osorio Colombia
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Diana María Escobar‐García Mexico
Magdalena Głąb Poland
Matheus Carlos Romeiro Miranda Brazil
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Citations per field
00.5×10×17×
Shanta Pokhrel · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 19
3 21
4 33
5 51
6 2
7 38
8 14
9 11
10 24
11 104
12 11
13 37

About Ganesan Krishnamoorthy

Ganesan Krishnamoorthy is a scholar working on Biomaterials, Orthodontics and Complementary and alternative medicine, having authored 13 papers that have together received 366 indexed citations. Recurring topics across this work include Collagen: Extraction and Characterization (7 papers), Bone Tissue Engineering Materials (4 papers) and Silk-based biomaterials and applications (3 papers). The work is most often cited by research in Biomaterials (205 citations), Molecular Medicine (19 citations) and Complementary and alternative medicine (30 citations). Ganesan Krishnamoorthy has collaborated with scholars based in India and Nepal. Frequent co-authors include Asit Baran Mandal, S. Sadulla, Praveen Kumar Sehgal, M Nidhin, T. P. Sastry, R. Selvakumar, Mukesh Doble, Krishnakumar Velayudhannair, Anjum Dihingia and G. Krishnamoorthy. Their work appears in journals such as Journal of Cleaner Production, International Journal of Biological Macromolecules and Environmental Science and Pollution Research.

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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