P. Chandra Sekhar
- Co-authors
- Jianlong WangYuko FujiwaraMiguel FidalgoYen-Sin AngStuart H. OrkinKiran KumarSandeep GoelSatish Kumar
- Topics
- Pluripotent Stem Cells Research (6 papers)Renal and related cancers (5 papers)CRISPR and Genetic Engineering (5 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBiomaterials
- Partner nations
- IndiaNew ZealandUnited States
In The Last Decade
P. Chandra Sekhar
19 papers receiving 279 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 161
- Electrical and Electronic Engineering 50
- Genetics 36
- Cancer Research 29
- Food Science 24
Countries citing papers authored by P. Chandra Sekhar
This map shows the geographic impact of P. Chandra Sekhar'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 P. Chandra Sekhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Chandra Sekhar more than expected).
Fields of papers citing papers by P. Chandra Sekhar
This network shows the impact of papers produced by P. Chandra Sekhar. 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 P. Chandra Sekhar. The network helps show where P. Chandra Sekhar may publish in the future.
Co-authorship network of co-authors of P. Chandra Sekhar
This figure shows the co-authorship network connecting the top 25 collaborators of P. Chandra Sekhar. A scholar is included among the top collaborators of P. Chandra Sekhar 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 P. Chandra Sekhar. P. Chandra Sekhar 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 | 6 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 13 | |
| 9 | HIGH PERFORMANCE 2:1, 4:1 AND 8:1 BINARY AND TERNARY MULTIPLEXER REALIZATION USING CNTFET TECHNOLOGY | 14 |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 6 | |
| 13 | OPTIMIZATION OF MEDIUM COMPONENTS FOR ANTIBACTERIAL METABOLITE PRODUCTION FROM MARINE STREPTOMYCES SP. PUA2 USING RESPONSE SURFACE METHODOLOGY | 7 |
| 14 | 49 | |
| 15 | 18 | |
| 16 | 71 | |
| 17 | 0 | |
| 18 | 20 | |
| 19 | 47 | |
| 20 | 6 |
About P. Chandra Sekhar
P. Chandra Sekhar is a scholar working on Toxicology, Biochemistry and Immunology and Allergy, having authored 21 papers that have together received 297 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Renal and related cancers (5 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Molecular Biology (161 citations), Biotechnology (17 citations) and Cancer Research (29 citations). P. Chandra Sekhar has collaborated with scholars based in India, New Zealand and United States. Frequent co-authors include Jianlong Wang, Yuko Fujiwara, Miguel Fidalgo, Yen-Sin Ang, Stuart H. Orkin, Kiran Kumar, Sandeep Goel, Satish Kumar, Shashi Singh and Satish Kumar. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Biomaterials.
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.