Ramesh Choudhari

1.4k citations
20 papers · 962 · 1 hit paper · h-index 13

Impact in

Papers in

    • Cancer-related molecular mechanisms research 7
    • RNA modifications and cancer 6
    • RNA Research and Splicing 5
    • Epigenetics and DNA Methylation 3
    • Circular RNAs in diseases 2

Ramesh Choudhari

20 papers receiving 935 citations

Ramesh Choudhari's Hit Papers

Specific targeting cancer cells with nanoparticles and drug delivery in cancer therapy 2019 · 359 citations
3590+2+4Years since publication100200300

Peers

Ramesh Choudhari
Comparison fields: 5 of 97
  • Cancer Research 204
  • Biomaterials 177
  • Molecular Biology 458
  • Molecular Medicine 29
  • Biomedical Engineering 187
Replace Nikhil Tyagi with:
Nikhil Tyagi United States
Tong-Chuan He United States
Xueping Lei China
Efthymios Kyrodimos Greece
Linghuan Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Ramesh Choudhari

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ramesh Choudhari Line = papers co-authored together Ramesh Choudhari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Specific targeting cancer cells with nanoparticles and drug delivery in cancer therapy
Hit paper breakdown →
2019359
2 2010106
3 2019100
4 200982
5 201864
6 198348
7 198336
8 202036
9 201829
10 202027
11 201621
12 202020
13 202017
14 20205
15 20225
16 19822
17 20202
18 20191
19 20211
20 20221

About Ramesh Choudhari

Ramesh Choudhari is a scholar working on Cancer Research, Molecular Biology, Immunology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 962 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (6 papers), RNA Research and Splicing (5 papers), Epigenetics and DNA Methylation (3 papers), Text and Document Classification Technologies (3 papers), Handwritten Text Recognition Techniques (2 papers), Circular RNAs in diseases (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Cancer Research (204 citations), Biomaterials (177 citations), Molecular Biology (458 citations), Molecular Medicine (29 citations) and Biomedical Engineering (187 citations). Ramesh Choudhari has collaborated with scholars based in United States, India and United Arab Emirates. Frequent co-authors include Shrikanth S. Gadad, Dhruv Kumar, Sibi Raj, MohammadAmjad Kamal, Kavindra Kumar Kesari, Neha Garg, Bhudev Chandra Das, Janne Ruokolainen, Sartaj Khurana and Jonathan J. Hull. Their work appears in journals such as Cell Death and Disease, Molecular and Cellular Endocrinology, Seminars in Cancer Biology, Blood and International Journal of Molecular Sciences.

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.

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