S. A. Shafiq

2.8k total citations
73 papers, 2.3k citations indexed

About

S. A. Shafiq is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, S. A. Shafiq has authored 73 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 22 papers in Cardiology and Cardiovascular Medicine and 19 papers in Cell Biology. Recurrent topics in S. A. Shafiq's work include Muscle Physiology and Disorders (31 papers), Cardiomyopathy and Myosin Studies (22 papers) and Neurobiology and Insect Physiology Research (9 papers). S. A. Shafiq is often cited by papers focused on Muscle Physiology and Disorders (31 papers), Cardiomyopathy and Myosin Studies (22 papers) and Neurobiology and Insect Physiology Research (9 papers). S. A. Shafiq collaborates with scholars based in United States, Pakistan and Singapore. S. A. Shafiq's co-authors include A. T. Milhorat, Michael A. Gorycki, A. Stracher, Eliana Lucchinetti, Michael Zaugg, Lisa W. Goldstone, M.A.Q. Siddiqui, Joanna Sher, Betty Leung and Valerie Askanas and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

S. A. Shafiq

72 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. A. Shafiq United States 30 1.5k 584 491 453 297 73 2.3k
L. Silberstein United States 17 2.2k 1.4× 471 0.8× 624 1.3× 353 0.8× 448 1.5× 24 2.7k
Frederick J. Samaha United States 21 1.6k 1.0× 438 0.8× 479 1.0× 561 1.2× 462 1.6× 47 2.8k
G Gauthier United States 24 1.2k 0.8× 405 0.7× 376 0.8× 482 1.1× 306 1.0× 62 2.3k
Gurtej K. Dhoot United Kingdom 26 1.8k 1.2× 1.0k 1.7× 257 0.5× 570 1.3× 146 0.5× 80 2.8k
Shinji Komazaki Japan 30 2.2k 1.4× 543 0.9× 654 1.3× 543 1.2× 344 1.2× 90 3.1k
Flaviu C. A. Romanul United States 19 781 0.5× 232 0.4× 336 0.7× 310 0.7× 290 1.0× 21 1.7k
Jean‐Marie Gillis Belgium 30 2.2k 1.4× 580 1.0× 588 1.2× 413 0.9× 523 1.8× 61 2.8k
D. N. Landon United Kingdom 31 1.2k 0.8× 194 0.3× 585 1.2× 245 0.5× 330 1.1× 53 2.9k
E. Bonilla United States 40 4.8k 3.1× 325 0.6× 771 1.6× 271 0.6× 393 1.3× 76 5.4k
Maurizio Vitadello Italy 28 1.2k 0.8× 510 0.9× 371 0.8× 410 0.9× 319 1.1× 52 2.0k

Countries citing papers authored by S. A. Shafiq

Since Specialization
Citations

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

Fields of papers citing papers by S. A. Shafiq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. A. Shafiq. 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 S. A. Shafiq. The network helps show where S. A. Shafiq may publish in the future.

Co-authorship network of co-authors of S. A. Shafiq

This figure shows the co-authorship network connecting the top 25 collaborators of S. A. Shafiq. A scholar is included among the top collaborators of S. A. Shafiq 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 S. A. Shafiq. S. A. Shafiq 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.
Shafiq, S. A., et al.. (2024). AI in neurodegenerative disorders: A neurosurgical perspective. World Journal of Advanced Research and Reviews. 24(1). 1453–1455. 1 indexed citations
2.
Goswami, Shyamal K., S. A. Shafiq, & M.A.Q. Siddiqui. (2001). Modulation of MLC-2v gene expression by AP-1: Complex regulatory role of Jun in cardiac myocytes. Molecular and Cellular Biochemistry. 217(1-2). 13–20. 9 indexed citations
3.
Zaugg, Michael, et al.. (2001). Anabolic-androgenic steroids induce apoptotic cell death in adult rat ventricular myocytes. Journal of Cellular Physiology. 187(1). 90–95. 81 indexed citations
4.
Shafiq, S. A., et al.. (1999). (CTG)n repeats markedly inhibit differentiation of the C2C12 myoblast cell line: implications for congenital myotonic dystrophy. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1453(2). 221–229. 16 indexed citations
5.
Sher, Joanna, et al.. (1990). Werdnig-Hoffmann disease: myosin isoform expression not arrested at prenatal stage of development. Journal of the Neurological Sciences. 95(2). 183–192. 6 indexed citations
6.
Sher, Joanna, et al.. (1989). Monoclonal antibody ALD 180: a reagent specific for a human prenatal skeletal muscle myosin isoform.. Journal of Histochemistry & Cytochemistry. 37(10). 1539–1543. 5 indexed citations
7.
Shafiq, S. A., et al.. (1989). Heterogeneity of fast-oxidative muscle fibers of chicken demonstrated by anti-myosin monoclonal antibodies. Histochemistry and Cell Biology. 91(2). 143–149. 2 indexed citations
8.
Shafiq, S. A., et al.. (1989). Coexpression of myosin isoforms in muscle of patients with neurogenic disease. Muscle & Nerve. 12(8). 679–689. 19 indexed citations
9.
Shafiq, S. A., et al.. (1980). A freeze‐fracture study of the anterior and posterior latissimus dorsi muscles of the chicken. The Anatomical Record. 198(2). 147–161. 15 indexed citations
10.
Turturro, Angelo & S. A. Shafiq. (1979). Quantitative Morphological Analysis of Age-Related Changes in Flight Muscle of Musca Domestica L.. Journal of Gerontology. 34(6). 823–833. 15 indexed citations
11.
Shafiq, S. A., Betty Leung, & Henry S. Schutta. (1979). A freeze-fracture study of fiber types in normal human muscle. Journal of the Neurological Sciences. 42(1). 129–138. 8 indexed citations
12.
Costello, Brian & S. A. Shafiq. (1979). Freeze‐fracture study of muscle plasmalemma in normal and dystrophic chickens. Muscle & Nerve. 2(3). 191–201. 22 indexed citations
13.
Stracher, A., et al.. (1978). Muscular Dystrophy: Inhibition of Degeneration in Vivo with Protease Inhibitors. Science. 200(4337). 50–51. 126 indexed citations
14.
Mauro, Alexander, S. A. Shafiq, & Ade T. Milhorat. (1970). Regeneration of striated muscle, and myogenesis : proceedings of the international conference convened by Muscular Dystrophy Associations of America at the Institute for Muscle Disease, New York, March 28-29, 1969. 2 indexed citations
15.
Shafiq, S. A., A. T. Milhorat, & Michael A. Gorycki. (1968). Crystals in muscle fibers in patients with diabetic amyotrophy and neuropathy. Neurology. 18(8). 785–790. 14 indexed citations
16.
Shafiq, S. A.. (1963). ELECTRON MICROSCOPIC STUDIES ON THE INDIRECT FLIGHT MUSCLES OF DROSOPHILA MELANOGASTER . The Journal of Cell Biology. 17(2). 351–362. 88 indexed citations
17.
Shafiq, S. A.. (1963). ELECTRON MICROSCOPIC STUDIES ON THE INDIRECT FLIGHT MUSCLES OFDROSOPHILAMELANOGASTER . The Journal of Cell Biology. 17(2). 363–373. 86 indexed citations
19.
Shafiq, S. A. & W. G. Bruce Casselman. (1954). Cytological Studies of the Neurones of Locusta migratoria Part III. Histochemical Investigations, with Special Reference to the Lipochondria. Journal of Cell Science. S3-95(31). 315–320. 4 indexed citations
20.
Shafiq, S. A.. (1953). Cytological Studies of the Neurones of Locusta migratoria : Part I. Cytoplasmic Inclusions of the Motor Neurones of the Adult. Journal of Cell Science. 319–328. 4 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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