C. George Priya Doss
- Cancer Research top 2%
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms 23
- Bioinformatics and Genomic Networks 21
- RNA modifications and cancer 17
- Biochemical and Molecular Research 14
- Biochemistry top 2%
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 16
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders 16
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- Computational Drug Discovery Methods 24
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- Genomics and Rare Diseases 14
- Co-authors
- Chiranjib ChakrabortyD. Thirumal KumarSiva RamamoorthyHatem ZayedP. SnehaSang‐Soo LeeAshish Ranjan SharmaGarima Sharma
- Journals
- Advances in protein chemistry and structural biology (41 papers)Journal of Cellular Biochemistry (15 papers)Computers in Biology and Medicine (13 papers)
- Partner nations
- IndiaQatarSaudi Arabia
In The Last Decade
C. George Priya Doss
313 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Cancer Research 916
- Molecular Biology 3.8k
- Biochemistry 257
- Molecular Medicine 161
- Clinical Biochemistry 176
Countries citing papers authored by C. George Priya Doss
This map shows the geographic impact of C. George Priya Doss'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 C. George Priya Doss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. George Priya Doss more than expected).
Fields of papers citing papers by C. George Priya Doss
This network shows the impact of papers produced by C. George Priya Doss. 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 C. George Priya Doss. The network helps show where C. George Priya Doss may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C. George Priya Doss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 25 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 5 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 17 | |
| 16 | 2017 | 11 | |
| 17 | 2017 | 42 | |
| 18 | 2014 | 47 | |
| 19 | 2014 | 31 | |
| 20 | 2013 | 27 |
About C. George Priya Doss
C. George Priya Doss is a scholar working on Molecular Medicine, Molecular Biology and Clinical Biochemistry, having authored 331 papers that have together received 6.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (24 papers), RNA and protein synthesis mechanisms (23 papers), Bioinformatics and Genomic Networks (21 papers), RNA modifications and cancer (17 papers), Antibiotic Resistance in Bacteria (16 papers), Metabolism and Genetic Disorders (16 papers), Genomics and Rare Diseases (14 papers) and Biochemical and Molecular Research (14 papers). The work is most often cited by research in Cancer Research (916 citations), Molecular Biology (3.8k citations) and Biochemistry (257 citations). C. George Priya Doss has collaborated with scholars based in India, Qatar and Saudi Arabia. Frequent co-authors include Chiranjib Chakraborty, D. Thirumal Kumar, Siva Ramamoorthy, Hatem Zayed, P. Sneha, Sang‐Soo Lee, Ashish Ranjan Sharma, Garima Sharma, S. Udhaya Kumar and N. Nagasundaram. Their work appears in journals such as Advances in protein chemistry and structural biology, Journal of Cellular Biochemistry, Computers in Biology and Medicine, Journal of Biomolecular Structure and Dynamics and PLoS ONE.
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.