Asiya Batool

594 total citations
12 papers, 365 citations indexed

About

Asiya Batool is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Asiya Batool has authored 12 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Asiya Batool's work include PI3K/AKT/mTOR signaling in cancer (7 papers), Mast cells and histamine (3 papers) and Polyamine Metabolism and Applications (3 papers). Asiya Batool is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (7 papers), Mast cells and histamine (3 papers) and Polyamine Metabolism and Applications (3 papers). Asiya Batool collaborates with scholars based in India, Pakistan and Nepal. Asiya Batool's co-authors include Khurshid Iqbal Andrabi, Sabreena Aashaq, Mushtaq A. Beigh, Zafar A. Shah, Shabir Ahmad Mir, Mohammad Abid Bazaz, Rabiya Majeed, Anabia Sohail, Asifullah Khan and Saddam Hussain Khan and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Cellular Physiology and International Journal of Biological Macromolecules.

In The Last Decade

Asiya Batool

12 papers receiving 363 citations

Peers

Asiya Batool

MB

IMMUN

ONCOL

CR

RNMI

Lingxuan Zhu China

Ziqing Yang China

Zhiqiang Zhu China

Zhan Hua China

Minju Kim South Korea

Vahideh Keyvani Iran

Masaru Koido Japan

Akash Gupta United States

Douglas K. Brubaker United States

Zhongling Luo China

Lingxuan Zhu China

Asiya Batool

109 ×0.5

MB

38 ×0.7

IMMUN

79 ×1.7

ONCOL

47 ×1.0

CR

30 ×0.8

RNMI

Citations per year, relative to Asiya Batool Asiya Batool (= 1×) peers Lingxuan Zhu

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-authorship network of co-authors of Asiya Batool

This figure shows the co-authorship network connecting the top 25 collaborators of Asiya Batool. A scholar is included among the top collaborators of Asiya Batool based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Asiya Batool. Asiya Batool is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Khan, Asifullah, et al.. (2023). A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron. Journal of Experimental & Theoretical Artificial Intelligence. 36(8). 1779–1821. 32 indexed citations

2.

Aashaq, Sabreena, Asiya Batool, Shabir Ahmad Mir, et al.. (2021). TGF‐β signaling: A recap of SMAD‐independent and SMAD‐dependent pathways. Journal of Cellular Physiology. 237(1). 59–85. 111 indexed citations

3.

Batool, Asiya, et al.. (2021). mTORC1 induces eukaryotic translation initiation factor 4E interaction with TOS-S6 kinase 1 and its activation. Cell Cycle. 20(9). 839–854. 11 indexed citations

4.

Batool, Asiya, et al.. (2020). Eukaryotic Initiation Factor 4E phosphorylation acts a switch for its binding to 4E-BP1 and mRNA cap assembly. Biochemical and Biophysical Research Communications. 527(2). 489–495. 3 indexed citations

5.

Batool, Asiya, Fayaz Malik, & Khurshid Iqbal Andrabi. (2020). Expansion of the CRISPR/Cas Genome-Sculpting Toolbox: Innovations, Applications and Challenges. Molecular Diagnosis & Therapy. 25(1). 41–57. 12 indexed citations

6.

Batool, Asiya, et al.. (2020). Three months of COVID‐19: A systematic review and meta‐analysis. Reviews in Medical Virology. 30(4). e2113–e2113. 33 indexed citations

7.

Batool, Asiya, Sabreena Aashaq, & Khurshid Iqbal Andrabi. (2019). Eukaryotic initiation factor 4E (eIF4E): A recap of the cap‐binding protein. Journal of Cellular Biochemistry. 120(9). 14201–14212. 38 indexed citations

8.

Batool, Asiya, et al.. (2019). Eukaryotic initiation factor 4E is a novel effector of mTORC1 signaling pathway in cross talk with Mnk1. Molecular and Cellular Biochemistry. 465(1-2). 13–26. 15 indexed citations

9.

Aashaq, Sabreena, Asiya Batool, & Khurshid Iqbal Andrabi. (2018). TAK1 mediates convergence of cellular signals for death and survival. APOPTOSIS. 24(1-2). 3–20. 59 indexed citations

10.

Batool, Asiya, et al.. (2018). Eukaryotic Initiation Factor 4E (eIF4E) sequestration mediates 4E-BP1 response to rapamycin. International Journal of Biological Macromolecules. 125. 651–659. 14 indexed citations

11.

Batool, Asiya, Sabreena Aashaq, & Khurshid Iqbal Andrabi. (2017). Reappraisal to the study of 4E-BP1 as an mTOR substrate – A normative critique. European Journal of Cell Biology. 96(4). 325–336. 26 indexed citations

12.

Beigh, Mushtaq A., et al.. (2014). Phosphorylation dynamics of eukaryotic initiation factor 4E binding protein 1 (4E-BP1) is discordant with its potential to interact with eukaryotic initiation factor 4E (eIF4E). Cellular Signalling. 26(10). 2117–2121. 11 indexed citations

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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