Sucheta Arora

402 citations
7 papers · 312 · h-index 6

Impact in

    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • DNA and Nucleic Acid Chemistry
    • Cancer therapeutics and mechanisms
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics

Papers in

    • DNA Repair Mechanisms 4
    • CRISPR and Genetic Engineering 3
    • Fungal and yeast genetics research 2
    • RNA and protein synthesis mechanisms 1
    • PARP inhibition in cancer therapy 1

Sucheta Arora

6 papers receiving 311 citations

Peers

Sucheta Arora
Comparison fields: 5 of 38
  • Molecular Biology 299
  • Oncology 81
  • Cancer Research 27
  • Cell Biology 29
  • Genetics 28
Replace Ronan Broderick with:
Ronan Broderick United Kingdom
Karina Zadorozhny Italy
Sarita Bhetawal United States
Claudio Guetg Switzerland
Caroline Davis United States
Saulius Lukauskas United Kingdom
Nicola Zilio Germany
Aldo S. Bader United Kingdom
Matthew W Parker United States
Eva Malacaria Italy
Sucheta Arora relative to Ronan Broderick United Kingdom Ronan Broderick's profile →
Citations per field
00.5×1.5×
Ronan Broderick · 1×
Citations per year

Countries citing papers authored by Sucheta Arora

Since Specialization
Citations

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

Fields of papers citing papers by Sucheta Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Sucheta Arora, 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 Sucheta Arora Line = papers co-authored together Sucheta Arora links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2016137
2 201859
3 201258
4 201335
5 201715
6 20078
7 20130

About Sucheta Arora

Sucheta Arora is a scholar working on Molecular Biology, Oncology, Cell Biology, Condensed Matter Physics and General Agricultural and Biological Sciences, having authored 7 papers that have together received 312 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), CRISPR and Genetic Engineering (3 papers), Microtubule and mitosis dynamics (2 papers), Fungal and yeast genetics research (2 papers), RNA and protein synthesis mechanisms (1 paper), PARP inhibition in cancer therapy (1 paper), Evolution and Genetic Dynamics (1 paper) and Agricultural Innovations and Practices (1 paper). The work is most often cited by research in Molecular Biology (299 citations), Oncology (81 citations), Cancer Research (27 citations), Cell Biology (29 citations) and Genetics (28 citations). Sucheta Arora has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Tanya T. Paull, Ji‐Hoon Lee, Rajashree A. Deshpande, Alan M. Johnson, Yaser Hashem, Joachim Frank, Nodar Makharashvili, Qiong Fu, Kyle M. Miller and Xuemei Wen. Their work appears in journals such as Molecular and Cellular Biology, Molecular Cell, Biotechnology and Bioengineering, The Journal of Cell Biology and eLife.

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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