G. Saranya
- Biomedical Engineering
- Molecular Biology
- Electronic, Optical and Magnetic Materials
- Materials Chemistry
- Biophysics top 5%
- Co-authors
- Kaustabh Kumar MaitiManu M. JosephJyothi B. NairVarsha KarunakaranAyyappanpillai AjayaghoshAdukkadan N. RamyaN. NarayananVineeth M. Vijayan
- Topics
- Software Engineering Research (6 papers)Software Reliability and Analysis Research (5 papers)Gold and Silver Nanoparticles Synthesis and Applications (4 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
G. Saranya
19 papers receiving 331 citations
Peers
Comparison fields: 5 of 76
- Biomedical Engineering 161
- Molecular Biology 117
- Electronic, Optical and Magnetic Materials 109
- Materials Chemistry 82
- Biophysics 72
Countries citing papers authored by G. Saranya
This map shows the geographic impact of G. Saranya'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 G. Saranya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Saranya more than expected).
Fields of papers citing papers by G. Saranya
This network shows the impact of papers produced by G. Saranya. 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 G. Saranya. The network helps show where G. Saranya may publish in the future.
Co-authorship network of co-authors of G. Saranya
This figure shows the co-authorship network connecting the top 25 collaborators of G. Saranya. A scholar is included among the top collaborators of G. Saranya 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 G. Saranya. G. Saranya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 37 | |
| 8 | 1 | |
| 9 | 19 | |
| 10 | 104 | |
| 11 | 3 | |
| 12 | 57 | |
| 13 | 2 | |
| 14 | 34 | |
| 15 | 27 | |
| 16 | 16 | |
| 17 | 11 | |
| 18 | A Survey on Efficient Incremental Algorithm for Mining High Utility Itemsets in Distributed and Dynamic Database | 3 |
| 19 | Analysis and modeling of multivalued attributes in entity relationship modeling: an approach for improved database design. | 1 |
| 20 | 4 |
About G. Saranya
G. Saranya is a scholar working on Software, Biophysics and Biochemistry, having authored 22 papers that have together received 337 indexed citations. Recurring topics across this work include Software Engineering Research (6 papers), Software Reliability and Analysis Research (5 papers) and Gold and Silver Nanoparticles Synthesis and Applications (4 papers). The work is most often cited by research in Biophysics (72 citations), Electronic, Optical and Magnetic Materials (109 citations) and Software (18 citations). G. Saranya has collaborated with scholars based in India and United States. Frequent co-authors include Kaustabh Kumar Maiti, Manu M. Joseph, Jyothi B. Nair, Varsha Karunakaran, Ayyappanpillai Ajayaghosh, Adukkadan N. Ramya, N. Narayanan, Vineeth M. Vijayan, K. Sujathan and A. Kannan. Their work appears in journals such as Biomaterials, ACS Applied Materials & Interfaces and Chemistry - A European Journal.
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.