Muhammad Arshad

425 total citations
22 papers, 291 citations indexed

About

Muhammad Arshad is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Muhammad Arshad has authored 22 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Physiology. Recurrent topics in Muhammad Arshad's work include Lipid metabolism and biosynthesis (3 papers), Adipose Tissue and Metabolism (3 papers) and RNA regulation and disease (2 papers). Muhammad Arshad is often cited by papers focused on Lipid metabolism and biosynthesis (3 papers), Adipose Tissue and Metabolism (3 papers) and RNA regulation and disease (2 papers). Muhammad Arshad collaborates with scholars based in Pakistan, China and United States. Muhammad Arshad's co-authors include Linkang Zhou, Li Xu, Miao Yu, Peng Li, Xiayu Xia, Feng‐Jung Chen, Jinhai Yu, Dijin Xu, Lizhen Wu and John Li and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Diabetes.

In The Last Decade

Muhammad Arshad

21 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Arshad Pakistan 8 145 81 78 72 65 22 291
Julie Jacquemyn Canada 7 197 1.4× 59 0.7× 113 1.4× 43 0.6× 47 0.7× 10 330
Anke Schumann Germany 11 179 1.2× 29 0.4× 19 0.2× 75 1.0× 43 0.7× 32 379
Han‐Wook Yoo South Korea 10 113 0.8× 30 0.4× 44 0.6× 79 1.1× 31 0.5× 16 253
Tony Rupar Canada 11 168 1.2× 40 0.5× 23 0.3× 91 1.3× 28 0.4× 15 325
Fernanda Sperb‐Ludwig Brazil 11 97 0.7× 19 0.2× 75 1.0× 100 1.4× 45 0.7× 38 288
Alessandra M. Norris United States 6 248 1.7× 27 0.3× 36 0.5× 75 1.0× 33 0.5× 8 385
Madalina Duta-Mare Austria 10 114 0.8× 41 0.5× 32 0.4× 105 1.5× 49 0.8× 13 243
Stephanie Schatzman-Bone United States 3 288 2.0× 22 0.3× 28 0.4× 54 0.8× 24 0.4× 9 418
Magalie Barth France 12 274 1.9× 36 0.4× 29 0.4× 92 1.3× 11 0.2× 32 378
M. DiRocco Italy 8 353 2.4× 50 0.6× 48 0.6× 78 1.1× 31 0.5× 11 497

Countries citing papers authored by Muhammad Arshad

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Arshad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Arshad

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Arshad. A scholar is included among the top collaborators of Muhammad Arshad 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 Muhammad Arshad. Muhammad Arshad 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.
Saleem, Muhammad, et al.. (2025). Novel Insights into T-Cell Exhaustion and Cancer Biomarkers in PDAC Using ScRNA-Seq. Biology. 14(8). 1015–1015. 1 indexed citations
2.
Qureshi, M. S., et al.. (2025). Hierarchical Feature Fusion With Inception V3 for Multiclass Plant Disease Classification. Informatica. 49(27). 2 indexed citations
3.
Khan, Jahangir, Muhammad Arshad, Siying Lin, et al.. (2024). Mutational spectrum associated with oculocutaneous albinism and Hermansky-Pudlak syndrome in nine Pakistani families. BMC Ophthalmology. 24(1). 345–345. 2 indexed citations
4.
Faheem, Muhammad, et al.. (2024). Designing a multi-epitope vaccine against Shigella dysenteriae using immuno-informatics approach. Frontiers in Genetics. 15. 1361610–1361610. 3 indexed citations
5.
Arshad, Muhammad, et al.. (2023). FRMD7 Gene Alterations in a Pakistani Family Associated with Congenital Idiopathic Nystagmus. Genes. 14(2). 346–346. 2 indexed citations
6.
Sheikh, Abdul Malik, et al.. (2021). A comparison of Male and Female Medical Student's Motivation towards Career Choice. SHILAP Revista de lepidopterología. 25(3). 382–385. 1 indexed citations
7.
Arshad, Muhammad, et al.. (2021). PCR Optimization for Beginners: A Step by Step Guide. 9(2). 81–102. 6 indexed citations
8.
Arshad, Muhammad, et al.. (2021). An Efficient Utilization of Blackboard Ally in Higher Education Institution. Intelligent Automation & Soft Computing. 29(1). 73–87. 11 indexed citations
9.
Kingston, Dawn, Muhammad Kashif Mughal, Muhammad Arshad, et al.. (2019). Prediction and Understanding of Resilience in Albertan Families: Longitudinal Study of Disaster Responses (PURLS) – Protocol. Frontiers in Psychiatry. 10. 729–729. 7 indexed citations
10.
Arshad, Muhammad, et al.. (2019). Investigating the Impact of Field Trips on Secondary School Students’ Attitude to Learning of Sciences. Global Social Sciences Review. IV(IV). 93–98. 1 indexed citations
11.
Arshad, Muhammad, et al.. (2018). Influence of School Environment on Students Outcomes at Secondary Level. SSRN Electronic Journal. 3 indexed citations
12.
Yu, Miao, Muhammad Arshad, Wenmin Wang, et al.. (2018). LRRK2 mediated Rab8a phosphorylation promotes lipid storage. Lipids in Health and Disease. 17(1). 34–34. 34 indexed citations
13.
Arshad, Muhammad, et al.. (2018). Effect of Workplace Spirituality Paradigm on Students Achievement. Zenodo (CERN European Organization for Nuclear Research).
14.
15.
Zhou, Linkang, Miao Yu, Muhammad Arshad, et al.. (2018). Coordination Among Lipid Droplets, Peroxisomes, and Mitochondria Regulates Energy Expenditure Through the CIDE-ATGL-PPARα Pathway in Adipocytes. Diabetes. 67(10). 1935–1948. 49 indexed citations
16.
Umair, Muhammad, Farooq Ahmad, Muhammad Bilal, & Muhammad Arshad. (2018). Frontonasal dysplasia: a review. SHILAP Revista de lepidopterología. 1(2). 66–76. 7 indexed citations
17.
Wu, Lizhen, Miao Yu, Feng‐Jung Chen, et al.. (2016). Differential Roles of Cell Death-inducing DNA Fragmentation Factor-α-like Effector (CIDE) Proteins in Promoting Lipid Droplet Fusion and Growth in Subpopulations of Hepatocytes. Journal of Biological Chemistry. 291(9). 4282–4293. 91 indexed citations
18.
Xu, Li, Xiayu Xia, Muhammad Arshad, & Linkang Zhou. (2015). Gene expression profile in the fat tissue of Fsp27 deficient mice. Genomics Data. 5. 326–328. 6 indexed citations
19.
Arshad, Muhammad, Zhongde Ye, Chung Kai Wong, et al.. (2013). RNF13, a RING Finger Protein, Mediates Endoplasmic Reticulum Stress-induced Apoptosis through the Inositol-requiring Enzyme (IRE1α)/c-Jun NH2-terminal Kinase Pathway. Journal of Biological Chemistry. 288(12). 8726–8736. 45 indexed citations
20.
Arshad, Abida, et al.. (2013). RNF13 protein regulates endoplasmic reticulum stress induced apoptosis in dopaminergic SH-SY5Y cells by enhancing IRE1αstability. Journal of Receptors and Signal Transduction. 34(2). 119–124. 5 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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