Ankeeta Shah
Impact in
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- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
Papers in
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- RNA modifications and cancer 3
- RNA Research and Splicing 2
- Genomics and Phylogenetic Studies 1
- Cancer-related gene regulation 1
- Genomics and Chromatin Dynamics 1
- RNA and protein synthesis mechanisms 1
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- Cancer, Lipids, and Metabolism 1
- Co-authors
- Sebastien M. Weyn‐Vanhentenryck (2 shared papers)Chaolin Zhang (2 shared papers)Yang Li (3 shared papers)Evan E. Eichler (1 shared paper)Wesley C. Warren (1 shared paper)Sean D McGrath (1 shared paper)Tina A. Graves-Lindsay (1 shared paper)Max L. Dougherty (1 shared paper)
- Journals
- Cell (1 paper)Neuron (1 paper)Bioinformatics (1 paper)Molecular Cell (1 paper)The Prostate (1 paper)
- Partner nations
- United StatesNorway
In The Last Decade
Ankeeta Shah
6 papers receiving 677 citations
Ankeeta Shah's Hit Papers
Peers
Comparison fields: 5 of 66
- Cancer Research 162
- Molecular Biology 549
- Genetics 175
- Developmental Neuroscience 12
- Plant Science 80
Countries citing papers authored by Ankeeta Shah
This map shows the geographic impact of Ankeeta Shah'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 Ankeeta Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankeeta Shah more than expected).
Fields of papers citing papers by Ankeeta Shah
This network shows the impact of papers produced by Ankeeta Shah. 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 Ankeeta Shah. The network helps show where Ankeeta Shah may publish in the future.
Co-authors
The 25 scholars most cited alongside Ankeeta Shah, 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 | Characterizing the Major Structural Variant Alleles of the Human Genome Hit paper breakdown → | 2019 | 311 |
| 2 | 2016 | 126 | |
| 3 | 2019 | 126 | |
| 4 | 2019 | 76 | |
| 5 | 2021 | 26 | |
| 6 | 2018 | 17 |
About Ankeeta Shah
Ankeeta Shah is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Plant Science and Electrical and Electronic Engineering, having authored 6 papers that have together received 682 indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), RNA Research and Splicing (2 papers), Genomics and Phylogenetic Studies (1 paper), Cancer-related gene regulation (1 paper), Genomics and Chromatin Dynamics (1 paper), Cancer, Lipids, and Metabolism (1 paper), Chromosomal and Genetic Variations (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Cancer Research (162 citations), Molecular Biology (549 citations), Genetics (175 citations), Developmental Neuroscience (12 citations) and Plant Science (80 citations). Ankeeta Shah has collaborated with scholars based in United States and Norway. Frequent co-authors include Sebastien M. Weyn‐Vanhentenryck, Chaolin Zhang, Yang Li, Evan E. Eichler, Wesley C. Warren, Sean D McGrath, Tina A. Graves-Lindsay, Max L. Dougherty, Arvis Sulovari and Susan K. Dutcher. Their work appears in journals such as Cell, Neuron, Bioinformatics, Molecular Cell and The Prostate.
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.