Shabana Din

1.7k total citations
20 papers, 1.3k citations indexed

About

Shabana Din is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Shabana Din has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Oncology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Shabana Din's work include Peptidase Inhibition and Analysis (8 papers), Cancer Mechanisms and Therapy (6 papers) and Signaling Pathways in Disease (5 papers). Shabana Din is often cited by papers focused on Peptidase Inhibition and Analysis (8 papers), Cancer Mechanisms and Therapy (6 papers) and Signaling Pathways in Disease (5 papers). Shabana Din collaborates with scholars based in United States, Germany and Croatia. Shabana Din's co-authors include Mark A. Sussman, Natalie Gude, Pearl Quijada, Mathias H. Konstandin, Mirko Völkers, Christopher T. Cottage, Kimberlee M. Fischer, Daniele Avitabile, Haruhiro Toko 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

Shabana Din

20 papers receiving 1.3k citations

Peers

Shabana Din
Daniel J. Lips Netherlands
Pearl Quijada United States
Jae Gyun Oh United States
Jingzang Tao United States
Jibin Zhou United States
Petra Keul Germany
Zhengyu Luo United States
Shabana Din
Citations per year, relative to Shabana Din Shabana Din (= 1×) peers Christopher T. Cottage

Countries citing papers authored by Shabana Din

Since Specialization
Citations

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

Fields of papers citing papers by Shabana Din

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shabana Din

This figure shows the co-authorship network connecting the top 25 collaborators of Shabana Din. A scholar is included among the top collaborators of Shabana Din 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 Shabana Din. Shabana Din 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.
Furkel, Jennifer, Maximilian Knoll, Shabana Din, et al.. (2021). C-MORE: A high-content single-cell morphology recognition methodology for liquid biopsies toward personalized cardiovascular medicine. Cell Reports Medicine. 2(11). 100436–100436. 7 indexed citations
2.
Furkel, Jennifer, Shabana Din, Ingke Braren, et al.. (2020). A novel approach to genetic engineering of T-cell subsets by hematopoietic stem cell infection with a bicistronic lentivirus. Scientific Reports. 10(1). 13740–13740. 2 indexed citations
3.
Samstag, Yvonne, Guido Wabnitz, Shabana Din, et al.. (2020). Reactive Oxidative Species–Modulated Ca2+ Release Regulates β2 Integrin Activation on CD4+ CD28null T Cells of Acute Coronary Syndrome Patients. The Journal of Immunology. 205(8). 2276–2286. 2 indexed citations
4.
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
5.
Din, Shabana, Mathias H. Konstandin, Jacqueline Emathinger, et al.. (2014). Metabolic Dysfunction Consistent With Premature Aging Results From Deletion of Pim Kinases. Circulation Research. 115(3). 376–387. 49 indexed citations
6.
Konstandin, Mathias H., Mirko Völkers, Brett Collins, et al.. (2013). Fibronectin contributes to pathological cardiac hypertrophy but not physiological growth. Basic Research in Cardiology. 108(5). 375–375. 48 indexed citations
7.
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
8.
Völkers, Mirko, Shirin Doroudgar, Mathias H. Konstandin, et al.. (2013). PRAS40 prevents development of diabetic cardiomyopathy and improves hepatic insulin sensitivity in obesity. EMBO Molecular Medicine. 6(1). 57–65. 68 indexed citations
9.
Völkers, Mirko, Haruhiro Toko, Shirin Doroudgar, et al.. (2013). Pathological hypertrophy amelioration by PRAS40-mediated inhibition of mTORC1. Proceedings of the National Academy of Sciences. 110(31). 12661–12666. 83 indexed citations
10.
Din, Shabana, Mirko Völkers, Christopher T. Cottage, et al.. (2013). Pim-1 preserves mitochondrial morphology by inhibiting dynamin-related protein 1 translocation. Proceedings of the National Academy of Sciences. 110(15). 5969–5974. 109 indexed citations
11.
Konstandin, Mathias H., Haruhiro Toko, Pearl Quijada, et al.. (2013). Fibronectin Is Essential for Reparative Cardiac Progenitor Cell Response After Myocardial Infarction. Circulation Research. 113(2). 115–125. 88 indexed citations
12.
Toko, Haruhiro, Mathias H. Konstandin, Shirin Doroudgar, et al.. (2013). Regulation of Cardiac Hypertrophic Signaling by Prolyl Isomerase Pin1. Circulation Research. 112(9). 1244–1252. 43 indexed citations
13.
Völkers, Mirko, Mathias H. Konstandin, Shirin Doroudgar, et al.. (2013). Mechanistic Target of Rapamycin Complex 2 Protects the Heart From Ischemic Damage. Circulation. 128(19). 2132–2144. 99 indexed citations
14.
Cottage, Christopher T., Balaji Sundararaman, Shabana Din, et al.. (2012). Increased Mitotic Rate Coincident with Transient Telomere Lengthening Resulting from Pim‐1 Overexpression in Cardiac Progenitor Cells. Stem Cells. 30(11). 2512–2522. 29 indexed citations
15.
Cheng, Zhaokang, Mirko Völkers, Shabana Din, et al.. (2011). Mitochondrial translocation of Nur77 mediates cardiomyocyte apoptosis. European Heart Journal. 32(17). 2179–2188. 86 indexed citations
16.
Sussman, Mark A., Mirko Völkers, Kimberlee M. Fischer, et al.. (2011). Myocardial AKT: The Omnipresent Nexus. Physiological Reviews. 91(3). 1023–1070. 185 indexed citations
17.
Fischer, Kimberlee M., Shabana Din, Natalie Gude, et al.. (2011). Cardiac Progenitor Cell Commitment Is Inhibited by Nuclear Akt Expression. Circulation Research. 108(8). 960–970. 32 indexed citations
18.
Avitabile, Daniele, Brandi Bailey, Christopher T. Cottage, et al.. (2011). Nucleolar stress is an early response to myocardial damage involving nucleolar proteins nucleostemin and nucleophosmin. Proceedings of the National Academy of Sciences. 108(15). 6145–6150. 70 indexed citations
19.
Fischer, Kimberlee M., Christopher T. Cottage, Weitao Wu, et al.. (2009). Enhancement of Myocardial Regeneration Through Genetic Engineering of Cardiac Progenitor Cells Expressing Pim-1 Kinase. Circulation. 120(21). 2077–2087. 162 indexed citations
20.
Muraski, John A., Kimberlee M. Fischer, Weitao Wu, et al.. (2008). Pim-1 kinase antagonizes aspects of myocardial hypertrophy and compensation to pathological pressure overload. Proceedings of the National Academy of Sciences. 105(37). 13889–13894. 56 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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