Ramesh Choudhari
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- RNA modifications and cancer 7
- RNA Research and Splicing 5
- Circular RNAs in diseases 3
- Epigenetics and DNA Methylation 3
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- Cancer-related molecular mechanisms research 9
- Co-authors
- Shrikanth S. Gadad (11 shared papers)Dhruv Kumar (2 shared papers)Sibi Raj (2 shared papers)Janne Ruokolainen (1 shared paper)Kavindra Kumar Kesari (1 shared paper)Bhudev C. Das (1 shared paper)Sartaj Khurana (1 shared paper)Neha Garg (1 shared paper)
- Journals
- Cancer Research (2 papers)Cell Death and Disease (2 papers)Molecular Case Studies (1 paper)CNS & Neurological Disorders - Drug Targets (1 paper)ACM Transactions on Information Systems (1 paper)
- Partner nations
- United StatesIndiaRussia
In The Last Decade
Ramesh Choudhari
22 papers receiving 918 citations
Ramesh Choudhari's Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 208
- Biomaterials 166
- Molecular Biology 447
- Molecular Medicine 28
- Biomedical Engineering 175
Countries citing papers authored by Ramesh Choudhari
This map shows the geographic impact of Ramesh Choudhari'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 Ramesh Choudhari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Choudhari more than expected).
Fields of papers citing papers by Ramesh Choudhari
This network shows the impact of papers produced by Ramesh Choudhari. 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 Ramesh Choudhari. The network helps show where Ramesh Choudhari may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramesh Choudhari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Specific targeting cancer cells with nanoparticles and drug delivery in cancer therapy Hit paper breakdown → | 2019 | 340 |
| 2 | 2019 | 99 | |
| 3 | 2010 | 96 | |
| 4 | 2009 | 81 | |
| 5 | 2018 | 65 | |
| 6 | 1983 | 50 | |
| 7 | 2020 | 37 | |
| 8 | 1983 | 33 | |
| 9 | 2020 | 27 | |
| 10 | 2018 | 22 | |
| 11 | 2016 | 20 | |
| 12 | 2020 | 19 | |
| 13 | 2017 | 17 | |
| 14 | 2020 | 16 | |
| 15 | 2022 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 1982 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 1982 | 1 |
About Ramesh Choudhari
Ramesh Choudhari is a scholar working on Molecular Biology, Cancer Research, Artificial Intelligence, Pathology and Forensic Medicine and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 939 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (5 papers), Algorithms and Data Compression (3 papers), Circular RNAs in diseases (3 papers), Epigenetics and DNA Methylation (3 papers), Text and Document Classification Technologies (3 papers) and Handwritten Text Recognition Techniques (2 papers). The work is most often cited by research in Cancer Research (208 citations), Biomaterials (166 citations), Molecular Biology (447 citations), Molecular Medicine (28 citations) and Biomedical Engineering (175 citations). Ramesh Choudhari has collaborated with scholars based in United States, India and Russia. Frequent co-authors include Shrikanth S. Gadad, Dhruv Kumar, Sibi Raj, Janne Ruokolainen, Kavindra Kumar Kesari, Bhudev C. Das, Sartaj Khurana, Neha Garg, Mohammad Amjad Kamal and Sargur N. Srihari. Their work appears in journals such as Cancer Research, Cell Death and Disease, Molecular Case Studies, CNS & Neurological Disorders - Drug Targets and ACM Transactions on Information Systems.
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.