Sadia Mohsin

3.1k total citations
70 papers, 2.2k citations indexed

About

Sadia Mohsin is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Sadia Mohsin has authored 70 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 32 papers in Surgery and 20 papers in Genetics. Recurrent topics in Sadia Mohsin's work include Tissue Engineering and Regenerative Medicine (25 papers), Mesenchymal stem cell research (20 papers) and Congenital heart defects research (13 papers). Sadia Mohsin is often cited by papers focused on Tissue Engineering and Regenerative Medicine (25 papers), Mesenchymal stem cell research (20 papers) and Congenital heart defects research (13 papers). Sadia Mohsin collaborates with scholars based in United States, Pakistan and Japan. Sadia Mohsin's co-authors include Mohsin Khan, Shaheen N. Khan, Sheikh Riazuddin, Mark A. Sussman, Steven R. Houser, Natalie Gude, Sulaiman Shams, Sailay Siddiqi, Shoaib Akhtar and Brett Collins and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Sadia Mohsin

67 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sadia Mohsin United States 30 1.2k 780 508 411 199 70 2.2k
Wayne Balkan United States 35 1.7k 1.4× 864 1.1× 629 1.2× 323 0.8× 223 1.1× 77 3.1k
Ivana Ferrero Italy 25 1.0k 0.9× 702 0.9× 1.8k 3.5× 150 0.4× 190 1.0× 55 2.9k
Yelena Parfyonova Russia 29 1.1k 0.9× 679 0.9× 776 1.5× 240 0.6× 323 1.6× 131 2.5k
Anuradha Natarajan Austria 7 1.7k 1.4× 659 0.8× 570 1.1× 127 0.3× 549 2.8× 8 2.6k
Michel Clergue France 18 1.0k 0.9× 725 0.9× 955 1.9× 356 0.9× 312 1.6× 25 2.3k
Kaomei Guan Germany 39 3.9k 3.3× 1.2k 1.5× 445 0.9× 660 1.6× 341 1.7× 91 5.2k
Shi Yu Yang United Kingdom 22 1.1k 1.0× 498 0.6× 146 0.3× 95 0.2× 359 1.8× 42 2.2k
Amanda C. LaRue United States 26 1.0k 0.9× 255 0.3× 399 0.8× 218 0.5× 196 1.0× 79 2.2k
Yee Sook Cho South Korea 29 1.9k 1.6× 577 0.7× 258 0.5× 391 1.0× 198 1.0× 66 3.1k

Countries citing papers authored by Sadia Mohsin

Since Specialization
Citations

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

Fields of papers citing papers by Sadia Mohsin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sadia Mohsin

This figure shows the co-authorship network connecting the top 25 collaborators of Sadia Mohsin. A scholar is included among the top collaborators of Sadia Mohsin 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 Sadia Mohsin. Sadia Mohsin 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.
Mohsin, Sadia & Mohsin Khan. (2024). Cardiac Progenitor Cell Metabolism. Methods in molecular biology. 2835. 147–154.
3.
Cueto, Ramón, Wen Shen, Xianwei Wang, et al.. (2024). SAH is a major metabolic sensor mediating worsening metabolic crosstalk in metabolic syndrome. Redox Biology. 73. 103139–103139. 12 indexed citations
4.
Mohsin, Sadia, Hong Wang, & Mohsin Khan. (2023). Inflammation attenuating lncRNAs in diabetic cardiomyopathy. Molecular Therapy — Nucleic Acids. 34. 102029–102029. 1 indexed citations
5.
Khan, Irfan, et al.. (2022). Combination of mesenchymal stem cells and three-dimensional collagen scaffold preserves ventricular remodeling in rat myocardial infarction model. World Journal of Stem Cells. 14(8). 633–657. 3 indexed citations
6.
Rigaud, Vagner Oliveira Carvalho, Justin Kurian, Tao Wang, et al.. (2021). LIN28a induced metabolic and redox regulation promotes cardiac cell survival in the heart after ischemic injury. Redox Biology. 47. 102162–102162. 15 indexed citations
7.
Yang, Yijun, et al.. (2020). Cortical Bone Derived Stem Cells Modulate Cardiac Fibroblast Response via miR-18a in the Heart After Injury. Frontiers in Cell and Developmental Biology. 8. 494–494. 10 indexed citations
8.
Wallner, Markus, Deborah Eaton, Remus M. Berretta, et al.. (2017). A Feline HFpEF Model with Pulmonary Hypertension and Compromised Pulmonary Function. Scientific Reports. 7(1). 16587–16587. 26 indexed citations
9.
Kulandavelu, Shathiyah, Vasileios Karantalis, Júlia Fritsch, et al.. (2016). Pim1 Kinase Overexpression Enhances ckit+ Cardiac Stem Cell Cardiac Repair Following Myocardial Infarction in Swine. Journal of the American College of Cardiology. 68(22). 2454–2464. 55 indexed citations
10.
Emathinger, Jacqueline, Nirmala Hariharan, Pearl Quijada, et al.. (2015). Functional Effect of Pim1 Depends upon Intracellular Localization in Human Cardiac Progenitor Cells. Journal of Biological Chemistry. 290(22). 13935–13947. 20 indexed citations
11.
Hariharan, Nirmala, Pearl Quijada, Sadia Mohsin, et al.. (2015). Nucleostemin Rejuvenates Cardiac Progenitor Cells and Antagonizes Myocardial Aging. Journal of the American College of Cardiology. 65(2). 133–147. 51 indexed citations
12.
Xu, Li, et al.. (2014). Anoctamin 6 Regulates C2C12 Myoblast Proliferation. PLoS ONE. 9(3). e92749–e92749. 26 indexed citations
13.
Khan, Mohsin, Sadia Mohsin, Haruhiro Toko, et al.. (2013). Cardiac Progenitor Cells Engineered With βARKct Have Enhanced β-Adrenergic Tolerance. Molecular Therapy. 22(1). 178–185. 11 indexed citations
14.
Mohsin, Sadia, et al.. (2013). Mesenchymal stem cells and Interleukin-6 attenuate liver fibrosis in mice. Journal of Translational Medicine. 11(1). 78–78. 107 indexed citations
15.
Toko, Haruhiro, Nirmala Hariharan, Mathias H. Konstandin, et al.. (2013). Differential Regulation of Cellular Senescence and Differentiation by Prolyl Isomerase Pin1 in Cardiac Progenitor Cells. Journal of Biological Chemistry. 289(9). 5348–5356. 30 indexed citations
16.
Choudhery, Mahmood S., Mohsin Khan, Sadia Mohsin, et al.. (2012). Mesenchymal stem cells conditioned with glucose depletion augments their ability to repair‐infarcted myocardium. Journal of Cellular and Molecular Medicine. 16(10). 2518–2529. 49 indexed citations
17.
Mohsin, Sadia, et al.. (2012). Nitric oxide augments mesenchymal stem cell ability to repair liver fibrosis. Journal of Translational Medicine. 10(1). 75–75. 60 indexed citations
18.
Khan, Mohsin, Shoaib Akhtar, Sadia Mohsin, Shaheen N. Khan, & Sheikh Riazuddin. (2010). Growth Factor Preconditioning Increases the Function of Diabetes-Impaired Mesenchymal Stem Cells. Stem Cells and Development. 20(1). 67–75. 89 indexed citations
19.
Khan, Mohsin, Sadia Mohsin, Shaheen N. Khan, & Sheikh Riazuddin. (2009). Repair of senescent myocardium by mesenchymal stem cells is dependent on the age of donor mice. Journal of Cellular and Molecular Medicine. 15(7). 1515–1527. 74 indexed citations
20.
Mohsin, Sadia. (1962). Comparative Morphology and Histology of the Alimentary Canals in Certain Groups of Indian Teleosts. Acta Zoologica. 43(1). 79–133. 33 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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