Muhammad Arshad

436 citations
22 papers · 305 · h-index 8

Impact in

    • Lipid metabolism and biosynthesis
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion

Papers in

    • RNA and protein synthesis mechanisms 2
    • RNA regulation and disease 2
    • Endoplasmic Reticulum Stress and Disease 2
    • melanin and skin pigmentation 2

Muhammad Arshad

21 papers receiving 304 citations

Peers

Muhammad Arshad
Comparison fields: 5 of 77
  • Biochemistry 81
  • Cell Biology 76
  • Physiology 65
  • Molecular Biology 130
  • Epidemiology 58
Replace Julie Jacquemyn with:
Julie Jacquemyn Canada
Maja Di Rocco Italy
Naseebullah Kakar Pakistan
Melissa A. Maczis United States
M. DiRocco Italy
Yongzhao Zhang China
Yoichi Wada Japan
Andrew A.M. Morris United Kingdom
Eliane Khallouf France
Kyung Jin Roh South Korea
Muhammad Arshad relative to Julie Jacquemyn Canada Julie Jacquemyn's profile →
Citations per field
00.5×1.5×2.3×
Julie Jacquemyn · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Muhammad Arshad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhammad Arshad Line = papers co-authored together Muhammad Arshad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201692
2 201855
3 201346
4 201835
5 202113
6 201811
7 20218
8 20187
9 20197
10 20156
11 20135
12
Influence of School Environment on Students Outcomes at Secondary Level
20183
13 20243
14 20243
15 20193
16 20232
17 20252
18 20191
19 20211
20 20251

About Muhammad Arshad

Muhammad Arshad is a scholar working on Molecular Biology, Cell Biology, Physiology, Genetics and Biochemistry, having authored 22 papers that have together received 305 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (3 papers), Adipose Tissue and Metabolism (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), melanin and skin pigmentation (2 papers), RNA and protein synthesis mechanisms (2 papers), Autophagy in Disease and Therapy (2 papers), Pancreatic function and diabetes (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Biochemistry (81 citations), Cell Biology (76 citations), Physiology (65 citations), Molecular Biology (130 citations) and Epidemiology (58 citations). Muhammad Arshad has collaborated with scholars based in Pakistan, China and United States. Frequent co-authors include Linkang Zhou, Li Xu, Miao Yu, Peng Li, Xiayu Xia, Feng‐Jung Chen, Jinhai Yu, Lizhen Wu, John Li and Dijin Xu. Their work appears in journals such as Journal of Biological Chemistry, Genes, Biology, Frontiers in Psychiatry and Lipids in Health and Disease.

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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