T. Viruthagiri
About
In The Last Decade
T. Viruthagiri
86 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.1k
- Biomedical Engineering 947
- Biotechnology 504
- Plant Science 304
- Water Science and Technology 278
Countries citing papers authored by T. Viruthagiri
This map shows the geographic impact of T. Viruthagiri'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 T. Viruthagiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Viruthagiri more than expected).
Fields of papers citing papers by T. Viruthagiri
This network shows the impact of papers produced by T. Viruthagiri. 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 T. Viruthagiri. The network helps show where T. Viruthagiri may publish in the future.
Co-authorship network of co-authors of T. Viruthagiri
This figure shows the co-authorship network connecting the top 25 collaborators of T. Viruthagiri. A scholar is included among the top collaborators of T. Viruthagiri 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 T. Viruthagiri. T. Viruthagiri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Study on Solid Base Calcium Oxide as a Heterogeneous Catalyst for the Production of Biodiesel | 8 |
| 2 | Stastical optimization of process variables for corncob hemicellulose hydrolysate to xylitol by Debaryomyces hansenii var hanseii. | 2 |
| 3 | Enhanced production of cellulase from tapioca stem using response surface methodology. | 5 |
| 4 | STATISTICAL OPTIMIZATION OF MEDIUM COMPONENTS FOR HEMICELLULASE PRODUCTION USING TAPIOCA STEM | 3 |
| 5 | Medium optimization for solid state fermentative production of xylanase by Aspergillus terreus using central composite design. | 1 |
| 6 | Effect of culture conditions and kinetic studies on extracellular tannase production by Lactobacillus plantarum MTCC 1407 | 16 |
| 7 | Optimization of C/N ratio of the medium and fermentation conditions of ethanol production from tapioca starch using Co-Culture of Aspergillus niger and Sachormyces cerevisiae. | 19 |
| 8 | Optimization of process variables using response surface methodology (RSM) for ethanol production from cashew apple juice by Saccharomyces cerevisiae | 24 |
| 9 | 8 | |
| 10 | Kinetics studies on ethanol production from banana peel waste using mutant strain of Saccharomyces cerevisiae | 35 |
| 11 | 8 | |
| 12 | Unstructured kinetic models for lipase production by Bacillus sphaericus | 1 |
| 13 | Statistical evaluation of medium components by Plackett-Burman experimental design and kinetic modeling of lipase production by Pseudomonas fluorescens | 32 |
| 14 | Simultaneous heat and mass transfer studies in drying ammonium chloride in a batch-fluidized bed dryer | 6 |
| 15 | 61 | |
| 16 | Optimization of Karanja oil transesterification | 8 |
| 17 | Batch kinetics and modeling of poly-β-hydroxy butyrate synthesis from Azotobacter vinelandii using different carbon sources | 6 |
| 18 | 48 | |
| 19 | Decolourization of synthetic dyes using rice straw attached Pleurotus ostreatus | 12 |
| 20 | 1 |
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.