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
- Epigenetics and DNA Methylation 3
- Circular RNAs in diseases 3
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- Cancer-related molecular mechanisms research 9
- Co-authors
- Shrikanth S. Gadad (11 shared papers)Sibi Raj (2 shared papers)Dhruv Kumar (2 shared papers)Kavindra Kumar Kesari (1 shared paper)Mohammad Amjad Kamal (1 shared paper)Neha Garg (1 shared paper)Janne Ruokolainen (1 shared paper)Bhudev C. Das (1 shared paper)
- Journals
- Cancer Research (2 papers)Cell Death and Disease (2 papers)ACM Transactions on Information Systems (1 paper)International Journal of Molecular Sciences (1 paper)Seminars in Cancer Biology (1 paper)
- Partner nations
- United StatesIndiaNorway
In The Last Decade
Ramesh Choudhari
22 papers receiving 896 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 238
- Biomaterials 171
- Molecular Biology 506
- Molecular Medicine 29
- Biomedical Engineering 176
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 | 324 |
| 2 | 2019 | 98 | |
| 3 | 2010 | 96 | |
| 4 | 2009 | 80 | |
| 5 | 2018 | 63 | |
| 6 | 1983 | 50 | |
| 7 | 2020 | 37 | |
| 8 | 1983 | 33 | |
| 9 | 2020 | 26 | |
| 10 | 2018 | 22 | |
| 11 | 2016 | 20 | |
| 12 | 2020 | 19 | |
| 13 | 2017 | 16 | |
| 14 | 2020 | 16 | |
| 15 | 2020 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 1982 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2019 | 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 916 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), Text and Document Classification Technologies (3 papers), Epigenetics and DNA Methylation (3 papers), Circular RNAs in diseases (3 papers), Algorithms and Data Compression (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Cancer Research (238 citations), Biomaterials (171 citations), Molecular Biology (506 citations), Molecular Medicine (29 citations) and Biomedical Engineering (176 citations). Ramesh Choudhari has collaborated with scholars based in United States, India and Norway. Frequent co-authors include Shrikanth S. Gadad, Sibi Raj, Dhruv Kumar, Kavindra Kumar Kesari, Mohammad Amjad Kamal, Neha Garg, Janne Ruokolainen, Bhudev C. Das, Sartaj Khurana and Jonathan J. Hull. Their work appears in journals such as Cancer Research, Cell Death and Disease, ACM Transactions on Information Systems, International Journal of Molecular Sciences and Seminars in Cancer Biology.
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.