Sheikh Arslan Sehgal

1.8k total citations · 1 hit paper
53 papers, 1.3k citations indexed

About

Sheikh Arslan Sehgal is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Sheikh Arslan Sehgal has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 18 papers in Computational Theory and Mathematics and 8 papers in Infectious Diseases. Recurrent topics in Sheikh Arslan Sehgal's work include Computational Drug Discovery Methods (18 papers), vaccines and immunoinformatics approaches (7 papers) and Autophagy in Disease and Therapy (5 papers). Sheikh Arslan Sehgal is often cited by papers focused on Computational Drug Discovery Methods (18 papers), vaccines and immunoinformatics approaches (7 papers) and Autophagy in Disease and Therapy (5 papers). Sheikh Arslan Sehgal collaborates with scholars based in Pakistan, China and Saudi Arabia. Sheikh Arslan Sehgal's co-authors include Hao Wu, Quan Chen, Sami Siraj, Rana Adnan Tahir, Yanjun Li, Ting Zhang, Weihua Gao, Qian Liu, Dong Liu and Jun Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Free Radical Biology and Medicine.

In The Last Decade

Sheikh Arslan Sehgal

49 papers receiving 1.3k citations

Hit Papers

STING directly activates autophagy to tune the innate imm... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheikh Arslan Sehgal Pakistan 19 710 347 298 183 175 53 1.3k
Aditi Singh India 20 787 1.1× 296 0.9× 89 0.3× 273 1.5× 146 0.8× 86 1.3k
Xiaolong Xu China 26 971 1.4× 280 0.8× 340 1.1× 109 0.6× 58 0.3× 93 2.0k
Pallavi Somvanshi India 20 702 1.0× 115 0.3× 154 0.5× 167 0.9× 166 0.9× 82 1.2k
Bei Tong China 24 797 1.1× 157 0.5× 191 0.6× 248 1.4× 46 0.3× 48 1.6k
Qishan Lin United States 24 1.2k 1.7× 157 0.5× 151 0.5× 241 1.3× 41 0.2× 53 2.2k
Sascha Venturelli Germany 27 1.3k 1.8× 260 0.7× 422 1.4× 83 0.5× 38 0.2× 69 2.4k
Xiaogang Weng China 21 835 1.2× 238 0.7× 177 0.6× 76 0.4× 34 0.2× 99 1.7k
Subhashree Parida India 19 361 0.5× 104 0.3× 126 0.4× 221 1.2× 130 0.7× 76 1.3k
Yan Guo China 25 741 1.0× 294 0.8× 285 1.0× 88 0.5× 28 0.2× 81 1.9k
Cheol-Hee Choi South Korea 22 1.0k 1.4× 143 0.4× 240 0.8× 91 0.5× 34 0.2× 55 1.9k

Countries citing papers authored by Sheikh Arslan Sehgal

Since Specialization
Citations

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

Fields of papers citing papers by Sheikh Arslan Sehgal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheikh Arslan Sehgal. 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 Sheikh Arslan Sehgal. The network helps show where Sheikh Arslan Sehgal may publish in the future.

Co-authorship network of co-authors of Sheikh Arslan Sehgal

This figure shows the co-authorship network connecting the top 25 collaborators of Sheikh Arslan Sehgal. A scholar is included among the top collaborators of Sheikh Arslan Sehgal 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 Sheikh Arslan Sehgal. Sheikh Arslan Sehgal 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
2.
Waseem, Hassan, et al.. (2025). In silico Identification and Computational Screening of Potential AFP Inhibitors Against Liver Cancer. Medicinal Chemistry. 21(6). 554–565. 1 indexed citations
4.
Waseem, Hassan, Faisal S. Ali, Soukayna Baammi, et al.. (2024). In silico identification and virtual screening to discover potent therapeutic phytochemicals against CMT2A. Journal of the Indian Chemical Society. 101(11). 101403–101403. 2 indexed citations
5.
Sajid, Muhammad, Ayesha Kanwal, Muhammad Ahsan, et al.. (2023). Computational Advancement towards the Identification of Natural Inhibitors for Dengue Virus: A Brief Review. Combinatorial Chemistry & High Throughput Screening. 27(17). 2464–2484. 2 indexed citations
6.
Iqbal, Muhammad Nasir, et al.. (2023). In silico elucidation of potential drug targets against oxygenase domain of Human eNOS Dysfunction. PLoS ONE. 18(4). e0284993–e0284993. 4 indexed citations
7.
Muhammad, Sajid, et al.. (2022). Epitope-based peptide vaccine design and elucidation of novel compounds against 3C like protein of SARS-CoV-2. PLoS ONE. 17(3). e0264700–e0264700. 5 indexed citations
8.
Zafar, Imran, Rida Javed, Sheikh Arslan Sehgal, et al.. (2022). Synthesis and characterization of copper oxide nanoparticles: its influence on corn (Z. mays) and wheat (Triticum aestivum) plants by inoculation of Bacillus subtilis. Environmental Science and Pollution Research. 30(13). 37370–37385. 19 indexed citations
10.
Rehman, Abdur, et al.. (2021). Anti-aging Natural Compounds and their Role in the Regulation of Metabolic Pathways Leading to Longevity. Mini-Reviews in Medicinal Chemistry. 21(18). 2630–2656. 18 indexed citations
11.
Khan, Momin, Akhtar Nadhman, Sheikh Arslan Sehgal, Sami Siraj, & Muhammad Masoom Yasinzai. (2018). Formulation and Characterization of a Self-Emulsifying Drug Delivery System (SEDDS) of Curcumin for the Topical Application in Cutaneous and Mucocutaneous Leishmaniasis. Current Topics in Medicinal Chemistry. 18(18). 1603–1609. 16 indexed citations
12.
Tahir, Rana Adnan & Sheikh Arslan Sehgal. (2018). Pharmacoinformatics and Molecular Docking Studies Reveal Potential Novel Compounds Against Schizophrenia by Target SYN II. Combinatorial Chemistry & High Throughput Screening. 21(3). 175–181. 12 indexed citations
13.
Tahir, Rana Adnan, et al.. (2018). Immunoinformatics and molecular docking studies reveal potential epitope-based peptide vaccine against DENV-NS3 protein. Journal of Theoretical Biology. 459. 162–170. 22 indexed citations
14.
Liu, Dong, Hao Wu, Chenguang Wang, et al.. (2018). STING directly activates autophagy to tune the innate immune response. Cell Death and Differentiation. 26(9). 1735–1749. 307 indexed citations breakdown →
15.
Sehgal, Sheikh Arslan. (2016). Pharmacoinformatics and molecular docking studies reveal potential novel Proline Dehydrogenase (PRODH) compounds for Schizophrenia inhibition. Medicinal Chemistry Research. 26(2). 314–326. 19 indexed citations
16.
Wu, Hao, Huifang Wei, Sheikh Arslan Sehgal, Lei Liu, & Quan Chen. (2016). Mitophagy receptors sense stress signals and couple mitochondrial dynamic machinery for mitochondrial quality control. Free Radical Biology and Medicine. 100. 199–209. 45 indexed citations
17.
Hassan, Mubashir, Sheikh Arslan Sehgal, & Sajid Rashid. (2014). Regulatory Cascade of Neuronal Loss and Glucose Metabolism. CNS & Neurological Disorders - Drug Targets. 13(7). 1232–1245. 8 indexed citations
18.
Sehgal, Sheikh Arslan, Rana Adnan Tahir, & Muhammad Nawaz. (2012). Molecular Characterization of Wheat Genotypes Using SSR Markers. SHILAP Revista de lepidopterología. 16(2). 119–128. 8 indexed citations
19.
Tahir, Rana Adnan, et al.. (2012). In silico Comparative Modeling of PapA1 and PapA2 Proteins Involved in Mycobacterium Tuberculosis Sulfolipid-1 Biosynthesis Pathway. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Sehgal, Sheikh Arslan, Rana Adnan Tahir, Muhammad Nawaz, & Muhammad Younas. (2000). 10.51847/TWLFuDY. Time to knit. 4(1). 480–484. 3 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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