Sheba Agarwal

550 citations
5 papers · 295 · h-index 5

Impact in

    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics
    • DNA and Nucleic Acid Chemistry
    • Cancer therapeutics and mechanisms
    • Carcinogens and Genotoxicity Assessment

Papers in

    • DNA Repair Mechanisms 3
    • CRISPR and Genetic Engineering 2
    • RNA Interference and Gene Delivery 2
    • Advanced biosensing and bioanalysis techniques 1
    • DNA and Nucleic Acid Chemistry 1
    • Photosynthetic Processes and Mechanisms 1
    • PARP inhibition in cancer therapy 1
    • Cancer-related Molecular Pathways 1

Sheba Agarwal

5 papers receiving 292 citations

Peers

Sheba Agarwal
Comparison fields: 5 of 38
  • Molecular Biology 273
  • Cancer Research 57
  • Oncology 64
  • Aging 3
  • Genetics 42
Replace Swetha Parvathaneni with:
Swetha Parvathaneni United States
Laure Guitton-Sert Canada
Charlène Lemaître France
Annemarie van Duijn-Goedhart Netherlands
Kiranjit K. Dhillon United States
Silvia Costantini Italy
Rosine Onclercq-Delic France
Sergio Muñoz Spain
Yusuke Okamoto Japan
Chantal Stoepker Netherlands
Sheba Agarwal relative to Swetha Parvathaneni United States Swetha Parvathaneni's profile →
Citations per field
00.5×1.5×
Swetha Parvathaneni · 1×
Citations per year

Countries citing papers authored by Sheba Agarwal

Since Specialization
Citations

This map shows the geographic impact of Sheba 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 Sheba Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheba Agarwal more than expected).

Fields of papers citing papers by Sheba Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheba 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 Sheba Agarwal. The network helps show where Sheba Agarwal may publish in the future.

Co-authors

The 25 scholars most cited alongside Sheba Agarwal, 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 Sheba Agarwal Line = papers co-authored together Sheba Agarwal links everyone, so they are left out of the graph.

All Works

About Sheba Agarwal

Sheba Agarwal is a scholar working on Molecular Biology, Oncology, Pediatrics, Perinatology and Child Health, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 295 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), CRISPR and Genetic Engineering (2 papers), RNA Interference and Gene Delivery (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), DNA and Nucleic Acid Chemistry (1 paper), PARP inhibition in cancer therapy (1 paper), Photosynthetic Processes and Mechanisms (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Molecular Biology (273 citations), Cancer Research (57 citations), Oncology (64 citations), Aging (3 citations) and Genetics (42 citations). Sheba Agarwal has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Roland Kanaar, Eric B. Kmiec, Aude Guénolé, Sam Linsen, Jeroen Essers, Erik Meijering, Wiggert A. van Cappellen, Berina Eppink, Adriaan B. Houtsmuller and Kebola Wahengbam. Their work appears in journals such as The Journal of Cell Biology, Gene Therapy, DNA repair, Blood and Biomolecular Engineering.

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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