Sugunakar Vuree
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- Computational Drug Discovery Methods 8
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- Cell death mechanisms and regulation 3
- Epigenetics and DNA Methylation 3
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- Cancer-related molecular mechanisms research 3
- Cancer, Lipids, and Metabolism 3
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- Acute Myeloid Leukemia Research 5
- Chronic Myeloid Leukemia Treatments 3
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- Synthesis and biological activity 3
- Co-authors
- Rebekah M. SamsonrajSanjeev Kumar SinghAnuraj NayarisseriNageswara Rao DunnaAparna BanerjeeVishnupriya SattiShrabana SarkarRaghunadharao Digumarti
- Journals
- SHILAP Revista de lepidopterología (3 papers)Cancer Research (2 papers)American Journal of Physiology-Endocrinology and Metabolism (1 paper)
- Partner nations
- IndiaChileUnited States
In The Last Decade
Sugunakar Vuree
34 papers receiving 406 citations
Peers
Comparison fields: 5 of 78
- Biomaterials 61
- Computational Theory and Mathematics 67
- Biotechnology 33
- Molecular Biology 228
- Cancer Research 44
Countries citing papers authored by Sugunakar Vuree
This map shows the geographic impact of Sugunakar Vuree'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 Sugunakar Vuree with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sugunakar Vuree more than expected).
Fields of papers citing papers by Sugunakar Vuree
This network shows the impact of papers produced by Sugunakar Vuree. 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 Sugunakar Vuree. The network helps show where Sugunakar Vuree may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sugunakar Vuree, 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 | 4 | |
| 3 | 2023 | 15 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 79 | |
| 10 | 2022 | 47 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 4 | |
| 13 | 2019 | 22 | |
| 14 | 2019 | 14 | |
| 15 | 2019 | 24 | |
| 16 | 2016 | 6 | |
| 17 | 2015 | 12 | |
| 18 | 2015 | 12 | |
| 19 | 2015 | 9 | |
| 20 | 2014 | 12 |
About Sugunakar Vuree
Sugunakar Vuree is a scholar working on Hematology, Cancer Research and Computational Theory and Mathematics, having authored 35 papers that have together received 412 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Acute Myeloid Leukemia Research (5 papers), Synthesis and biological activity (3 papers), Cell death mechanisms and regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer, Lipids, and Metabolism (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Biomaterials (61 citations), Computational Theory and Mathematics (67 citations) and Biotechnology (33 citations). Sugunakar Vuree has collaborated with scholars based in India, Chile and United States. Frequent co-authors include Rebekah M. Samsonraj, Sanjeev Kumar Singh, Anuraj Nayarisseri, Nageswara Rao Dunna, Aparna Banerjee, Vishnupriya Satti, Shrabana Sarkar, Raghunadharao Digumarti, Rajib Bandopadhyay and S. Vishnupriya. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and American Journal of Physiology-Endocrinology and Metabolism.
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.