Arya Kaul
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Single-cell and spatial transcriptomics
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- RNA modifications and cancer
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- Chromosomal and Genetic Variations
Papers in
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- Genomics and Chromatin Dynamics 2
- Genomics and Phylogenetic Studies 1
- Protein Degradation and Inhibitors 1
- Protein Structure and Dynamics 1
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- Bacterial Identification and Susceptibility Testing 1
- Co-authors
- Ferhat Ay (3 shared papers)Sourya Bhattacharyya (2 shared papers)James Taylor (1 shared paper)Tao Yang (1 shared paper)Ye Zhan (1 shared paper)Job Dekker (1 shared paper)Bryan R. Lajoie (1 shared paper)Koon‐Kiu Yan (1 shared paper)
- Journals
- Nature Protocols (1 paper)Genome biology (1 paper)Microbial Genomics (1 paper)bioRxiv (Cold Spring Harbor Laboratory) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Arya Kaul
3 papers receiving 214 citations
Peers
Comparison fields: 5 of 31
- Molecular Biology 178
- Plant Science 60
- Genetics 36
- Cancer Research 14
- Biophysics 4
Countries citing papers authored by Arya Kaul
This map shows the geographic impact of Arya Kaul'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 Arya Kaul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arya Kaul more than expected).
Fields of papers citing papers by Arya Kaul
This network shows the impact of papers produced by Arya Kaul. 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 Arya Kaul. The network helps show where Arya Kaul may publish in the future.
Co-authors
The 23 scholars most cited alongside Arya Kaul, 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 | 2020 | 112 | |
| 2 | 2019 | 102 | |
| 3 | 2019 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2026 | 0 |
About Arya Kaul
Arya Kaul is a scholar working on Molecular Biology, Clinical Biochemistry, Molecular Medicine, Radiology, Nuclear Medicine and Imaging and Plant Science, having authored 5 papers that have together received 215 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (2 papers), Genomics and Phylogenetic Studies (1 paper), Nephrotoxicity and Medicinal Plants (1 paper), Protein Degradation and Inhibitors (1 paper), Bacterial Identification and Susceptibility Testing (1 paper), Chromosomal and Genetic Variations (1 paper), Antibiotic Resistance in Bacteria (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Molecular Biology (178 citations), Plant Science (60 citations), Genetics (36 citations), Cancer Research (14 citations) and Biophysics (4 citations). Arya Kaul has collaborated with scholars based in United States and France. Frequent co-authors include Ferhat Ay, Sourya Bhattacharyya, James Taylor, Tao Yang, Ye Zhan, Job Dekker, Bryan R. Lajoie, Koon‐Kiu Yan, Hakan Özadam and Anshul Kundaje. Their work appears in journals such as Nature Protocols, Genome biology, Microbial Genomics, bioRxiv (Cold Spring Harbor Laboratory) and Zenodo (CERN European Organization for Nuclear 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.