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 13
- RNA Research and Splicing 10
- Genomics and Chromatin Dynamics 9
- RNA modifications and cancer 5
- RNA Interference and Gene Delivery 2
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
- Co-authors
- David P. BartelJin‐Wu NamGeorge W. BellDavid R. KelleyDaniel VisentinJohn JumperAgnieszka Grabska‐BarwińskaŽiga Avsec
- Journals
- Nature Communications (3 papers)Nature Methods (2 papers)Nature Biotechnology (2 papers)Genome Research (2 papers)Genome biology (2 papers)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Vikram Agarwal
20 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Cancer Research 4.1k
- Molecular Biology 5.3k
- Immunology 518
- Developmental Neuroscience 61
- Genetics 392
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation Hit paper breakdown → | 2025 | 38 |
| 3 | 2025 | 1 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 3 | |
| 6 | 2025 | 13 | |
| 7 | 2025 | 16 | |
| 8 | 2024 | 13 | |
| 9 | 2023 | 32 | |
| 10 | 2022 | 58 | |
| 11 | 2022 | 36 | |
| 12 | 2021 | 36 | |
| 13 | 2021 | 2 | |
| 14 | Effective gene expression prediction from sequence by integrating long-range interactions Hit paper breakdown → | 2021 | 486 |
| 15 | 2020 | 113 | |
| 16 | 2020 | 70 | |
| 17 | 2019 | 66 | |
| 18 | 2018 | 40 | |
| 19 | Predicting effective microRNA target sites in mammalian mRNAs Hit paper breakdown → | 2015 | 5523 |
| 20 | 2008 | 81 |
About Vikram Agarwal
Vikram Agarwal is a scholar working on Molecular Biology, Biophysics, Microbiology, Cancer Research and Computational Theory and Mathematics, having authored 21 papers that have together received 6.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (13 papers), RNA Research and Splicing (10 papers), Genomics and Chromatin Dynamics (9 papers), RNA modifications and cancer (5 papers), Chromosomal and Genetic Variations (2 papers), RNA Interference and Gene Delivery (2 papers), Bioinformatics and Genomic Networks (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Cancer Research (4.1k citations), Molecular Biology (5.3k citations), Immunology (518 citations), Developmental Neuroscience (61 citations) and Genetics (392 citations). Vikram Agarwal has collaborated with scholars based in United States, France and Japan. Frequent co-authors include David P. Bartel, Jin‐Wu Nam, George W. Bell, David R. Kelley, Daniel Visentin, John Jumper, Agnieszka Grabska‐Barwińska, Žiga Avsec, Yannis Assael and Kyle R. Taylor. Their work appears in journals such as Nature Communications, Nature Methods, Nature Biotechnology, Genome Research and Genome 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.