Arun Asif

491 total citations
12 papers, 326 citations indexed

About

Arun Asif is a scholar working on Biomedical Engineering, Surgery and Epidemiology. According to data from OpenAlex, Arun Asif has authored 12 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 3 papers in Surgery and 3 papers in Epidemiology. Recurrent topics in Arun Asif's work include 3D Printing in Biomedical Research (5 papers), Adenosine and Purinergic Signaling (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). Arun Asif is often cited by papers focused on 3D Printing in Biomedical Research (5 papers), Adenosine and Purinergic Signaling (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). Arun Asif collaborates with scholars based in South Korea, Pakistan and United States. Arun Asif's co-authors include Kyung Hyun Choi, Faheem Ahmed, Afaque Manzoor Soomro, Anupama Samantasinghar, Abdul Rahim Chethikkattuveli Salih, Sobia Manzoor, Kyung Hwan Kim, Sejoong Kim, Muhammad Asad Ullah Khalid and Sung Hyuk Park and has published in prestigious journals such as IEEE Access, Biomedicine & Pharmacotherapy and Polymers.

In The Last Decade

Arun Asif

12 papers receiving 324 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arun Asif South Korea 11 137 92 42 41 30 12 326
Peter Clements United Kingdom 10 65 0.5× 182 2.0× 17 0.4× 3 0.1× 59 2.0× 24 421
Nina Klein United States 13 160 1.2× 107 1.2× 2 0.0× 35 0.9× 13 0.4× 27 531
Yu-Fan Lin Taiwan 9 145 1.1× 119 1.3× 6 0.1× 3 0.1× 10 0.3× 15 481
Junyan Gao China 8 31 0.2× 108 1.2× 11 0.3× 3 0.1× 8 0.3× 15 289
Thomas Williams United Kingdom 13 62 0.5× 125 1.4× 7 0.2× 4 0.1× 113 3.8× 39 510
Britton Boras United States 7 19 0.1× 117 1.3× 47 1.1× 3 0.1× 14 0.5× 12 279
T. Sugawara Japan 11 45 0.3× 181 2.0× 2 0.0× 7 0.2× 7 0.2× 34 506
You Zheng China 10 19 0.1× 159 1.7× 5 0.1× 5 0.1× 53 1.8× 22 525
Huiqi Lu United Kingdom 14 124 0.9× 159 1.7× 24 0.6× 8 0.3× 40 489

Countries citing papers authored by Arun Asif

Since Specialization
Citations

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

Fields of papers citing papers by Arun Asif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Asif

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Asif. A scholar is included among the top collaborators of Arun Asif 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 Arun Asif. Arun Asif is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Asif, Arun, Faheem Ahmed, Zeeshan Saifi, et al.. (2024). Machine Learning Based Diagnostic Paradigm in Viral and Non-Viral Hepatocellular Carcinoma. IEEE Access. 12. 37557–37571. 3 indexed citations
2.
Ahmed, Faheem, Kyung Hwan Kim, Arun Asif, et al.. (2023). Drug repurposing for viral cancers: A paradigm of machine learning, deep learning, and virtual screening‐based approaches. Journal of Medical Virology. 95(4). e28693–e28693. 39 indexed citations
3.
Ahmed, Faheem, Afaque Manzoor Soomro, Abdul Rahim Chethikkattuveli Salih, et al.. (2022). A comprehensive review of artificial intelligence and network based approaches to drug repurposing in Covid-19. Biomedicine & Pharmacotherapy. 153. 113350–113350. 51 indexed citations
4.
Ahmed, Faheem, Afaque Manzoor Soomro, Abdul Rahim, et al.. (2022). Robust ultrasensitive stretchable sensor for wearable and high-end robotics applications. Journal of Materials Science Materials in Electronics. 33(35). 26447–26463. 13 indexed citations
5.
Salih, Abdul Rahim Chethikkattuveli, et al.. (2022). Renal Hypoxic Reperfusion Injury-on-Chip Model for Studying Combinational Vitamin Therapy. ACS Biomaterials Science & Engineering. 8(9). 3733–3740. 11 indexed citations
6.
Asif, Arun, Sung Hyuk Park, Afaque Manzoor Soomro, et al.. (2021). Microphysiological system with continuous analysis of albumin for hepatotoxicity modeling and drug screening. Journal of Industrial and Engineering Chemistry. 98. 318–326. 46 indexed citations
7.
Salih, Abdul Rahim Chethikkattuveli, Arun Asif, Afaque Manzoor Soomro, et al.. (2021). Extracellular Matrix Optimization for Enhanced Physiological Relevance in Hepatic Tissue-Chips. Polymers. 13(17). 3016–3016. 28 indexed citations
8.
Kim, Young‐Su, et al.. (2021). Gravity-Based Flow Efficient Perfusion Culture System for Spheroids Mimicking Liver Inflammation. Biomedicines. 9(10). 1369–1369. 15 indexed citations
9.
Asif, Arun, et al.. (2020). Real-time sensors for live monitoring of disease and drug analysis in microfluidic model of proximal tubule. Microfluidics and Nanofluidics. 24(6). 46 indexed citations
11.
12.
Asif, Arun, et al.. (2017). Zika Virus: Immune Evasion Mechanisms, Currently Available Therapeutic Regimens, and Vaccines. Viral Immunology. 30(10). 682–690. 12 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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