Anupama Samantasinghar

774 total citations · 1 hit paper
15 papers, 429 citations indexed

About

Anupama Samantasinghar is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Anupama Samantasinghar has authored 15 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Biomedical Engineering. Recurrent topics in Anupama Samantasinghar's work include Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (4 papers) and 3D Printing in Biomedical Research (3 papers). Anupama Samantasinghar is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (4 papers) and 3D Printing in Biomedical Research (3 papers). Anupama Samantasinghar collaborates with scholars based in South Korea, Pakistan and United States. Anupama Samantasinghar's co-authors include Kyung Hyun Choi, Faheem Ahmed, Fida Hussain Memon, Afaque Manzoor Soomro, Abdul Rahim Chethikkattuveli Salih, Arun Asif, Kyung Hwan Kim, Kyung Hwan Kim, Wajid Ali and Jong‐Hwan Lim and has published in prestigious journals such as RSC Advances, Biomedicine & Pharmacotherapy and Journal of Medical Virology.

In The Last Decade

Anupama Samantasinghar

15 papers receiving 424 citations

Hit Papers

A comprehensive review of key factors affecting the effic... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anupama Samantasinghar South Korea 12 154 95 86 78 61 15 429
Masaki Asada Japan 13 388 2.5× 129 1.4× 124 1.4× 91 1.2× 6 0.1× 38 756
Yuhao Xia China 11 135 0.9× 55 0.6× 91 1.1× 23 0.3× 7 0.1× 38 392
Randall L. Adam Brazil 11 141 0.9× 31 0.3× 33 0.4× 12 0.2× 21 0.3× 24 377
Aiping Zheng China 12 69 0.4× 41 0.4× 74 0.9× 8 0.1× 81 1.3× 32 398
Ziyin Chen China 11 71 0.5× 42 0.4× 120 1.4× 4 0.1× 42 0.7× 44 413
Manhua Li China 12 132 0.9× 60 0.6× 41 0.5× 20 0.3× 4 0.1× 27 356
Limeng Wu China 14 91 0.6× 146 1.5× 76 0.9× 5 0.1× 9 0.1× 30 516
Gianfranco Baronzio Italy 10 112 0.7× 62 0.7× 149 1.7× 8 0.1× 40 0.7× 23 354
Wanheng Zhang China 11 128 0.8× 158 1.7× 61 0.7× 15 0.2× 48 0.8× 20 394
Yutong Chen China 12 96 0.6× 96 1.0× 56 0.7× 9 0.1× 90 1.5× 51 427

Countries citing papers authored by Anupama Samantasinghar

Since Specialization
Citations

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

Fields of papers citing papers by Anupama Samantasinghar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anupama Samantasinghar

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

All Works

15 of 15 papers shown
2.
Ahmed, Faheem, Anupama Samantasinghar, Myung Ae Bae, & Kyung Hyun Choi. (2024). Integrated ML-Based Strategy Identifies Drug Repurposing for Idiopathic Pulmonary Fibrosis. ACS Omega. 9(27). 29870–29883. 4 indexed citations
3.
Ahmed, Faheem, Anupama Samantasinghar, Wajid Ali, & Kyung Hyun Choi. (2024). Network-based drug repurposing identifies small molecule drugs as immune checkpoint inhibitors for endometrial cancer. Molecular Diversity. 28(6). 3879–3895. 18 indexed citations
4.
Samantasinghar, Anupama, et al.. (2024). An Overview of Advancements and Technologies in Vascularization Strategies for Tumor‐On‐A‐Chip Models. Advanced Therapeutics. 7(6). 3 indexed citations
5.
Samantasinghar, Anupama, Faheem Ahmed, Afaque Manzoor Soomro, et al.. (2023). A comprehensive review of key factors affecting the efficacy of antibody drug conjugate. Biomedicine & Pharmacotherapy. 161. 114408–114408. 86 indexed citations breakdown →
6.
Jatoi, Ashique Hussain, Kyung Hwan Kim, Muhammad Ali Khan, et al.. (2023). Functionalized graphene oxide-based lamellar membranes for organic solvent nanofiltration applications. RSC Advances. 13(19). 12695–12702. 49 indexed citations
7.
Samantasinghar, Anupama, et al.. (2023). Artificial intelligence-assisted repurposing of lubiprostone alleviates tubulointerstitial fibrosis. Translational research. 262. 75–88. 21 indexed citations
8.
Ahmed, Faheem, et al.. (2023). Network-based drug repurposing for HPV-associated cervical cancer. Computational and Structural Biotechnology Journal. 21. 5186–5200. 18 indexed citations
9.
Ahmed, Faheem, et al.. (2023). A systematic review of computational approaches to understand cancer biology for informed drug repurposing. Journal of Biomedical Informatics. 142. 104373–104373. 35 indexed citations
10.
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
11.
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
12.
Ahmed, Faheem, Anupama Samantasinghar, Fida Hussain Memon, et al.. (2022). Drug repurposing in psoriasis, performed by reversal of disease-associated gene expression profiles. Computational and Structural Biotechnology Journal. 20. 6097–6107. 33 indexed citations
13.
Ahmed, Faheem, Jae Wook Lee, Anupama Samantasinghar, et al.. (2022). SperoPredictor: An Integrated Machine Learning and Molecular Docking-Based Drug Repurposing Framework With Use Case of COVID-19. Frontiers in Public Health. 10. 902123–902123. 44 indexed citations
14.
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
15.
Lee, Jae‐Shin, Fida Hussain Memon, Faheem Ahmed, et al.. (2021). Silicone Elastomer Composites Fabricated with MgO and MgO-Multi-Wall Carbon Nanotubes with Improved Thermal Conductivity. Nanomaterials. 11(12). 3418–3418. 13 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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