Vikram Agarwal
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 2%
- Circular RNAs in diseases
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
Papers in
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 3
-
- Circular RNAs in diseases 6
- RNA Research and Splicing 4
- CRISPR and Genetic Engineering 2
- RNA Interference and Gene Delivery 2
- RNA and protein synthesis mechanisms 2
- Bone Metabolism and Diseases 1
- Co-authors
- David P. BartelHuili GuoJunjie U. GuoRémy DenzlerMarkus StoffelJoanna StefanoJay ShendureSean E. McGeary
- Journals
- Genome biology (3 papers)Molecular Cell (3 papers)Analytical Chemistry (1 paper)Cell Reports (1 paper)Nature (1 paper)
- Partner nations
- United StatesSingaporeSwitzerland
In The Last Decade
Vikram Agarwal
12 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Cancer Research 2.1k
- Molecular Biology 2.6k
- Aging 26
- Business and International Management 13
- Plant Science 204
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 | 2024 | 12 | |
| 2 | 2024 | 20 | |
| 3 | 2020 | 119 | |
| 4 | 2019 | 129 | |
| 5 | 2018 | 75 | |
| 6 | 2016 | 245 | |
| 7 | 2015 | 49 | |
| 8 | Expanded identification and characterization of mammalian circular RNAs Hit paper breakdown → | 2014 | 1269 |
| 9 | Assessing the ceRNA Hypothesis with Quantitative Measurements of miRNA and Target Abundance Hit paper breakdown → | 2014 | 522 |
| 10 | 2014 | 252 | |
| 11 | 2014 | 66 | |
| 12 | 2009 | 120 |
About Vikram Agarwal
Vikram Agarwal is a scholar working on Cancer Research, Molecular Biology, Aquatic Science, Water Science and Technology and Plant Science, having authored 12 papers that have together received 2.9k indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (5 papers), RNA Research and Splicing (4 papers), Cancer-related molecular mechanisms research (3 papers), CRISPR and Genetic Engineering (2 papers), RNA Interference and Gene Delivery (2 papers), RNA and protein synthesis mechanisms (2 papers) and Bone Metabolism and Diseases (1 paper). The work is most often cited by research in Cancer Research (2.1k citations), Molecular Biology (2.6k citations), Aging (26 citations), Business and International Management (13 citations) and Plant Science (204 citations). Vikram Agarwal has collaborated with scholars based in United States, Singapore and Switzerland. Frequent co-authors include David P. Bartel, Huili Guo, Junjie U. Guo, Rémy Denzler, Markus Stoffel, Joanna Stefano, Jay Shendure, Sean E. McGeary, Alexandra C. Title and David Koppstein. Their work appears in journals such as Genome biology, Molecular Cell, Analytical Chemistry, Cell Reports and Nature.
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.