T. Subba Rao
- Materials Chemistry top 5%
- Electrical and Electronic Engineering top 5%
- Molecular Biology
- Biomedical Engineering top 5%
- Health, Toxicology and Mutagenesis top 2%
- Co-authors
- Sudhir K. ShuklaM. M. GabrMark PriestleyK. Chandra Babu NaiduK.V.K. NairB. Rajesh KumarB. HymavathiN. Rajendran
- Topics
- ZnO doping and properties (27 papers)Bacterial biofilms and quorum sensing (26 papers)Gas Sensing Nanomaterials and Sensors (23 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
T. Subba Rao
231 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 183
- Materials Chemistry 1.7k
- Electrical and Electronic Engineering 905
- Molecular Biology 590
- Biomedical Engineering 553
- Health, Toxicology and Mutagenesis 416
Countries citing papers authored by T. Subba Rao
This map shows the geographic impact of T. Subba Rao'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. Subba Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Subba Rao more than expected).
Fields of papers citing papers by T. Subba Rao
This network shows the impact of papers produced by T. Subba Rao. 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. Subba Rao. The network helps show where T. Subba Rao may publish in the future.
Co-authorship network of co-authors of T. Subba Rao
This figure shows the co-authorship network connecting the top 25 collaborators of T. Subba Rao. A scholar is included among the top collaborators of T. Subba Rao 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. Subba Rao. T. Subba Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 26 | |
| 7 | 15 | |
| 8 | 8 | |
| 9 | Antibacterial synergy between oxytetracycline and selected polyphenols against bacterial fish pathogens. | 5 |
| 10 | Time series analysis : methods and applications | 2 |
| 11 | 8 | |
| 12 | 146 | |
| 13 | 12 | |
| 14 | 36 | |
| 15 | 18 | |
| 16 | Lipid profile of Clostridium perfringens type D | 1 |
| 17 | 9 | |
| 18 | On the species of Acartiidae (Copepoda: Calanoida) collected during the international Indian Ocean expedition | 1 |
| 19 | Ecological studies on the seasonal production of the edible oyster, Crassostrea madrasensis (Preston) in Cochin Backwater, Kerala | 2 |
| 20 | Indian Ocean Biological Centre | 1 |
About T. Subba Rao
T. Subba Rao is a scholar working on Metals and Alloys, Materials Chemistry and Ceramics and Composites, having authored 244 papers that have together received 5.2k indexed citations. Recurring topics across this work include ZnO doping and properties (27 papers), Bacterial biofilms and quorum sensing (26 papers) and Gas Sensing Nanomaterials and Sensors (23 papers). The work is most often cited by research in Metals and Alloys (235 citations), Statistics and Probability (316 citations) and Materials Chemistry (1.7k citations). T. Subba Rao has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Sudhir K. Shukla, M. M. Gabr, Mark Priestley, K. Chandra Babu Naidu, K.V.K. Nair, B. Rajesh Kumar, B. Hymavathi, N. Rajendran, P. Kannan and Neelam Mangwani. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Technometrics.
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.