Vikram Agarwal
Impact in
- Cancer Research top 0.2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 1%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Extracellular vesicles in disease
Papers in
-
- RNA and protein synthesis mechanisms 11
- RNA Research and Splicing 10
- Genomics and Chromatin Dynamics 9
- RNA modifications and cancer 4
- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
- RNA Interference and Gene Delivery 2
- Co-authors
- Jin‐Wu Nam (1 shared paper)David P. Bartel (1 shared paper)George W. Bell (1 shared paper)David R. Kelley (4 shared papers)Daniel Visentin (1 shared paper)John Jumper (1 shared paper)Joseph R. Ledsam (1 shared paper)Kyle R. Taylor (1 shared paper)
- Journals
- Nature Communications (3 papers)Nature Methods (2 papers)Genome biology (2 papers)Nature Biotechnology (2 papers)Genome Research (2 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Vikram Agarwal
20 papers receiving 6.8k citations
Vikram Agarwal's Hit Papers
Peers
Comparison fields: 5 of 145
- Cancer Research 3.5k
- Molecular Biology 4.6k
- Immunology 461
- Developmental Neuroscience 59
- Genetics 377
Countries citing papers authored by Vikram Agarwal
This map shows the geographic impact of Vikram Agarwal'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 Vikram Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Agarwal more than expected).
Fields of papers citing papers by Vikram Agarwal
This network shows the impact of papers produced by Vikram Agarwal. 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 Vikram Agarwal. The network helps show where Vikram Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikram Agarwal, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting effective microRNA target sites in mammalian mRNAs Hit paper breakdown → | 2015 | 5606 |
| 2 | Effective gene expression prediction from sequence by integrating long-range interactions Hit paper breakdown → | 2021 | 541 |
| 3 | 2020 | 117 | |
| 4 | 2008 | 82 | |
| 5 | 2020 | 75 | |
| 6 | 2019 | 67 | |
| 7 | 2022 | 66 | |
| 8 | Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation Hit paper breakdown → | 2025 | 52 |
| 9 | 2021 | 42 | |
| 10 | 2018 | 41 | |
| 11 | 2022 | 38 | |
| 12 | 2023 | 36 | |
| 13 | 2025 | 21 | |
| 14 | 2024 | 17 | |
| 15 | 2025 | 16 | |
| 16 | 2025 | 10 | |
| 17 | 2025 | 6 | |
| 18 | 2025 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2021 | 2 |
About Vikram Agarwal
Vikram Agarwal is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Computational Theory and Mathematics and Genetics, having authored 21 papers that have together received 6.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), RNA Research and Splicing (10 papers), Genomics and Chromatin Dynamics (9 papers), RNA modifications and cancer (4 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers), RNA Interference and Gene Delivery (2 papers) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Cancer Research (3.5k citations), Molecular Biology (4.6k citations), Immunology (461 citations), Developmental Neuroscience (59 citations) and Genetics (377 citations). Vikram Agarwal has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Jin‐Wu Nam, David P. Bartel, George W. Bell, David R. Kelley, Daniel Visentin, John Jumper, Joseph R. Ledsam, Kyle R. Taylor, Pushmeet Kohli and Žiga Avsec. Their work appears in journals such as Nature Communications, Nature Methods, Genome biology, Nature Biotechnology and Genome Research.
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.