Asiya Batool

616 citations
13 papers · 400 · h-index 11

Impact in

    • PI3K/AKT/mTOR signaling in cancer
    • TGF-β signaling in diseases
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering

Papers in

    • PI3K/AKT/mTOR signaling in cancer 7
    • Polyamine Metabolism and Applications 3
    • Cancer-related gene regulation 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • RNA and protein synthesis mechanisms 2
    • PARP inhibition in cancer therapy 1

Asiya Batool

13 papers receiving 398 citations

Peers

Asiya Batool
Comparison fields: 5 of 84
  • Aging 6
  • Molecular Biology 202
  • Health Informatics 4
  • Cancer Research 39
  • Modeling and Simulation 12
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Muxue Tang China
Ethan P. Heinzen United States
Shun Wang China
Hengwei Jin China
Sanju Sinha United States
Ricky Tsai Canada
Zhaohu Yuan China
Anshika Srivastava India
Buyun Ma China
Chan C. Whiting United States
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Citations per field
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Citations per year

Countries citing papers authored by Asiya Batool

Since Specialization
Citations

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

Fields of papers citing papers by Asiya Batool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Asiya Batool, 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 Asiya Batool Line = papers co-authored together Asiya Batool links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2021122
2 201864
3 201940
4 202336
5 202035
6 201727
7 201915
8 201814
9 202013
10 202112
11 201412
12 20246
13 20204

About Asiya Batool

Asiya Batool is a scholar working on Molecular Biology, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 13 papers that have together received 400 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), Mast cells and histamine (3 papers), Polyamine Metabolism and Applications (3 papers), Cancer-related gene regulation (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), RNA and protein synthesis mechanisms (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper) and PARP inhibition in cancer therapy (1 paper). The work is most often cited by research in Aging (6 citations), Molecular Biology (202 citations), Health Informatics (4 citations), Cancer Research (39 citations) and Modeling and Simulation (12 citations). Asiya Batool has collaborated with scholars based in India, Pakistan and United States. Frequent co-authors include Khurshid Iqbal Andrabi, Sabreena Aashaq, Mushtaq A. Beigh, Zafar A. Shah, Shabir Ahmad Mir, Mohammad Abid Bazaz, Rabiya Majeed, Asifullah Khan, Anabia Sohail and Saddam Hussain Khan. Their work appears in journals such as International Journal of Biological Macromolecules, Journal of Cellular Biochemistry, Biochemical and Biophysical Research Communications, Molecular and Cellular Biochemistry and Journal of Cellular Physiology.

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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