Sejal Shah

470 total citations
34 papers, 280 citations indexed

About

Sejal Shah is a scholar working on Molecular Biology, Artificial Intelligence and Surgery. According to data from OpenAlex, Sejal Shah has authored 34 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Surgery. Recurrent topics in Sejal Shah's work include PI3K/AKT/mTOR signaling in cancer (5 papers), Nanoparticles: synthesis and applications (4 papers) and Antibiotic Resistance in Bacteria (4 papers). Sejal Shah is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (5 papers), Nanoparticles: synthesis and applications (4 papers) and Antibiotic Resistance in Bacteria (4 papers). Sejal Shah collaborates with scholars based in India, United States and Saudi Arabia. Sejal Shah's co-authors include M.S. Santosh, Krithi Ramamritham, Prashant Shenoy, Kiran Kalia, Anjana K. Vala, Harish Padh, Siddharth Shah, David Pearson, Jayashankar Das and Sushma Dave and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Experimental Cell Research.

In The Last Decade

Sejal Shah

31 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sejal Shah India 9 94 59 44 32 22 34 280
Yasmine S. Moemen Egypt 10 58 0.6× 71 1.2× 28 0.6× 7 0.2× 25 1.1× 18 326
Faiz Abdulaziz Alfaiz Saudi Arabia 9 90 1.0× 72 1.2× 75 1.7× 6 0.2× 25 1.1× 17 361
Md. Habibur Rahman Bangladesh 9 24 0.3× 54 0.9× 31 0.7× 22 0.7× 10 0.5× 18 329
Firoozeh Abolhasani Zadeh Iran 12 89 0.9× 142 2.4× 43 1.0× 14 0.4× 38 1.7× 20 459
Priyanka Pandya India 9 57 0.6× 143 2.4× 29 0.7× 28 0.9× 52 2.4× 11 362
Parvarish Sharma India 7 48 0.5× 114 1.9× 86 2.0× 5 0.2× 18 0.8× 7 390
Jie You China 11 24 0.3× 96 1.6× 46 1.0× 22 0.7× 11 0.5× 35 367
Huijuan Yao China 12 77 0.8× 90 1.5× 12 0.3× 11 0.3× 8 0.4× 31 425
Rakesh Srivastava India 13 65 0.7× 106 1.8× 12 0.3× 5 0.2× 22 1.0× 38 402
Tariq Nadeem Pakistan 11 50 0.5× 215 3.6× 36 0.8× 17 0.5× 11 0.5× 41 475

Countries citing papers authored by Sejal Shah

Since Specialization
Citations

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

Fields of papers citing papers by Sejal Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sejal Shah

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

All Works

20 of 20 papers shown
1.
Alkhathami, Ali G., et al.. (2025). Mechanisms behind the LncRNAs-mediated regulation of paclitaxel (PTX) resistance in human malignancies. Experimental Cell Research. 445(2). 114434–114434. 1 indexed citations
2.
Mohanty, Jatindra Nath, Debasish Swapnesh Kumar Nayak, Sejal Shah, et al.. (2024). Genomic characterization and distribution of XDR Klebsiella pneumoniae ST15 carrying blaOXA-181 on ColKP3 plasmid from an ICH patient in eastern India: A global comparative analysis. Gene Reports. 36. 101978–101978. 2 indexed citations
3.
Mohanty, Jatindra Nath, et al.. (2024). Identification and Exploration of Transcripts Involved in Antibiotic Resistance Mechanism of Two Critical Superbugs. Gene Expression. 23(1). 1–14. 1 indexed citations
4.
Cheng, Minghui, Sejal Shah, Antonio Nanni, & H. Oliver Gao. (2024). Automated knowledge graphs for complex systems (AutoGraCS): Applications to management of bridge networks. SHILAP Revista de lepidopterología. 3(4). 95–106. 3 indexed citations
5.
Nayak, Debasish Swapnesh Kumar, et al.. (2024). Web-Based Tools Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis. SN Computer Science. 5(1). 2 indexed citations
6.
Patel, Amisha, et al.. (2024). Transcriptomic Profiling of OSCC Patients in an Indian Subset. Asian Pacific Journal of Cancer Prevention. 25(1). 233–239. 3 indexed citations
7.
Bishoyi, Ashok Kumar, et al.. (2024). Harnessing machine learning technique to authenticate differentially expressed genes in oral squamous cell carcinoma. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 139(2). 211–219. 1 indexed citations
8.
Alkhathami, Ali G., et al.. (2024). LncRNAs in modulating cancer cell resistance to paclitaxel (PTX) therapy. Medical Oncology. 42(1). 28–28. 5 indexed citations
9.
Mohanty, Jatindra Nath, et al.. (2023). Colistin the last resort drug in 21st century antibiotics to combat Multidrug resistance superbugs. Journal of Experimental Biology and Agricultural Sciences. 11(6). 919–929. 3 indexed citations
10.
Patel, Amisha & Sejal Shah. (2023). Nano Bio-Edible Fruit Coating by Using Carica Papaya Leaf Extracts. 18. 508–513. 1 indexed citations
11.
Shah, Sejal, et al.. (2023). Enhancing Lung Cancer Prediction through Machine Learning: A Data-Driven Approach. 1150–1155. 1 indexed citations
12.
Dhanalakshmi, M., et al.. (2022). Artificial Neural Network-Based Study Predicts GS-441524 as a Potential Inhibitor of SARS-CoV-2 Activator Protein Furin: a Polypharmacology Approach. Applied Biochemistry and Biotechnology. 194(10). 4511–4529. 8 indexed citations
13.
Shah, Sejal, M. Dhanalakshmi, Amisha Patel, et al.. (2022). Unravelling Vitamin B12 as a potential inhibitor against SARS-CoV-2: A computational approach. Informatics in Medicine Unlocked. 30. 100951–100951. 20 indexed citations
14.
Shah, Sejal, et al.. (2021). A New Era in Molecular Biology Clustered Regularly Interspaced Short Palindromic Repeats/Cas9 Technology. Advances in Human Biology. 11(2). 152–156. 2 indexed citations
15.
Shah, Sejal, et al.. (2021). Molecular Landscape and Computational Screening of the Natural inhibitors against HPV16 E6 Oncoprotein. Asian Pacific Journal of Cancer Prevention. 22(8). 2461–2469. 9 indexed citations
16.
Shah, Sejal, et al.. (2016). Genetic profile of PTEN gene in Indian oral squamous cell carcinoma primary tumors. Journal of Oral Pathology and Medicine. 46(2). 106–111. 11 indexed citations
17.
Shah, Sejal, Siddharth Shah, Harish Padh, & Kiran Kalia. (2015). Genetic alterations of the PIK3CA oncogene in human oral squamous cell carcinoma in an Indian population. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 120(5). 628–635. 17 indexed citations
18.
Vala, Anjana K. & Sejal Shah. (2012). Rapid Synthesis of Silver Nanoparticles by a Marine-derived Fungus Aspergillus Niger and their Antimicrobial Potentials. International journal of nanoscience and nanotechnology. 8(4). 197–206. 12 indexed citations
19.
Ramamritham, Krithi, et al.. (2005). Construction of a Coherency Preserving Dynamic Data Dissemination Network. DSpace (IIT Bombay). 286–295. 4 indexed citations
20.
Shah, Sejal, Krithi Ramamritham, & Prashant Shenoy. (2004). Resilient and Coherence Preserving Dissemination of Dynamic Data Using Cooperating Peers. IEEE Transactions on Knowledge and Data Engineering. 16(7). 799–812. 29 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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