Utkarsh Raj
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
Papers in
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- Bioinformatics and Genomic Networks 6
- vaccines and immunoinformatics approaches 4
- Epigenetics and DNA Methylation 3
- Machine Learning in Bioinformatics 3
- Gene expression and cancer classification 3
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- Computational Drug Discovery Methods 14
- Co-authors
- Pritish Kumar Varadwaj (32 shared papers)Imlimaong Aier (8 shared papers)Himansu Kumar (14 shared papers)Saurabh Gupta (12 shared papers)Aman Chandra Kaushik (1 shared paper)Vikas Pruthi (2 shared papers)Tara Chand Yadav (2 shared papers)A. R. Rao (2 shared papers)
In The Last Decade
Utkarsh Raj
47 papers receiving 862 citations
Peers
Comparison fields: 5 of 116
- Computational Theory and Mathematics 198
- Pharmacology 52
- Molecular Biology 401
- Infectious Diseases 92
- Toxicology 16
Countries citing papers authored by Utkarsh Raj
This map shows the geographic impact of Utkarsh Raj'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 Utkarsh Raj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Utkarsh Raj more than expected).
Fields of papers citing papers by Utkarsh Raj
This network shows the impact of papers produced by Utkarsh Raj. 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 Utkarsh Raj. The network helps show where Utkarsh Raj may publish in the future.
Co-authors
The 25 scholars most cited alongside Utkarsh Raj, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 324 | |
| 2 | 2015 | 72 | |
| 3 | 2016 | 42 | |
| 4 | 2019 | 37 | |
| 5 | 2017 | 35 | |
| 6 | 2018 | 32 | |
| 7 | 2015 | 32 | |
| 8 | 2018 | 30 | |
| 9 | 2018 | 26 | |
| 10 | 2020 | 26 | |
| 11 | 2015 | 21 | |
| 12 | 2015 | 19 | |
| 13 | 2015 | 16 | |
| 14 | 2016 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 2023 | 12 | |
| 17 | 2015 | 12 | |
| 18 | 2017 | 11 | |
| 19 | 2018 | 10 | |
| 20 | 2018 | 10 |
About Utkarsh Raj
Utkarsh Raj is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Hematology and Plant Science, having authored 52 papers that have together received 889 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Bioinformatics and Genomic Networks (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), vaccines and immunoinformatics approaches (4 papers), HER2/EGFR in Cancer Research (3 papers), Epigenetics and DNA Methylation (3 papers), Machine Learning in Bioinformatics (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Computational Theory and Mathematics (198 citations), Pharmacology (52 citations), Molecular Biology (401 citations), Infectious Diseases (92 citations) and Toxicology (16 citations). Utkarsh Raj has collaborated with scholars based in India, Germany and China. Frequent co-authors include Pritish Kumar Varadwaj, Imlimaong Aier, Himansu Kumar, Saurabh Gupta, Aman Chandra Kaushik, Vikas Pruthi, Tara Chand Yadav, A. R. Rao, Shiri Freilich and Rahul Semwal. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Scientific Reports, Current Topics in Medicinal Chemistry, Current Alzheimer Research and Frontiers in Plant Science.
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.