Arya Kaul

473 citations
4 papers · 203 · h-index 2

Impact in

    • Genomics and Chromatin Dynamics
    • Genomics and Phylogenetic Studies
    • RNA Research and Splicing
    • Single-cell and spatial transcriptomics
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Chromosomal and Genetic Variations

Papers in

    • Genomics and Chromatin Dynamics 3
    • Epigenetics and DNA Methylation 1
    • Protein Degradation and Inhibitors 1
    • Genomics and Phylogenetic Studies 1
    • Protein Structure and Dynamics 1

Arya Kaul

3 papers receiving 202 citations

Peers

Arya Kaul
Comparison fields: 5 of 32
  • Molecular Biology 186
  • Plant Science 66
  • Genetics 40
  • Cancer Research 16
  • Biophysics 5
Replace Josef Redolfi with:
Josef Redolfi Germany
Meizhen Zheng China
Miroslav P Ivanov Austria
Carlos Martí‐Gómez United States
Valeriya Malysheva United Kingdom
Eleni Gelali Sweden
Alexandra Fournier France
Yasutaka Kakui United Kingdom
Nezha S. Benabdallah United Kingdom
Marie-Odile Baudement France
Arya Kaul relative to Josef Redolfi Germany Josef Redolfi's profile →
Citations per field
00.5×1.5×
Josef Redolfi · 1×
Citations per year

Countries citing papers authored by Arya Kaul

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 21 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.

Border = papers with Arya Kaul Line = papers co-authored together Arya Kaul links everyone, so they are left out of the graph.

All Works

About Arya Kaul

Arya Kaul is a scholar working on Molecular Biology, Clinical Biochemistry, Molecular Medicine, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 4 papers that have together received 203 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (1 paper), Protein Degradation and Inhibitors (1 paper), Chromosomal and Genetic Variations (1 paper), Genomics and Phylogenetic Studies (1 paper), Nephrotoxicity and Medicinal Plants (1 paper), Protein Structure and Dynamics (1 paper) and Antibiotic Resistance in Bacteria (1 paper). The work is most often cited by research in Molecular Biology (186 citations), Plant Science (66 citations), Genetics (40 citations), Cancer Research (16 citations) and Biophysics (5 citations). Arya Kaul has collaborated with scholars based in United States. Frequent co-authors include Ferhat Ay, Sourya Bhattacharyya, Hakan Özadam, Michael E.G. Sauria, Job Dekker, Bryan R. Lajoie, Ye Zhan, Oana Ursu, Tao Yang and Mark Gerstein. Their work appears in journals such as Genome biology, Nature Protocols, Microbial Genomics 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.

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