Deepthi Sanagasetti

1.1k total citations · 1 hit paper
11 papers, 626 citations indexed

About

Deepthi Sanagasetti is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Deepthi Sanagasetti has authored 11 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Surgery and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Deepthi Sanagasetti's work include Pluripotent Stem Cells Research (7 papers), Tissue Engineering and Regenerative Medicine (6 papers) and CRISPR and Genetic Engineering (4 papers). Deepthi Sanagasetti is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), Tissue Engineering and Regenerative Medicine (6 papers) and CRISPR and Genetic Engineering (4 papers). Deepthi Sanagasetti collaborates with scholars based in United States, Hong Kong and Italy. Deepthi Sanagasetti's co-authors include Lakshya Bajaj, Parisa Lotfi, Marco Sardiello, Jianchang Yang, Megumi Mathison, Todd K. Rosengart, Michela Palmieri, Fred A. Pereira, Arindam Chaudhury and Samuel M. Wu and has published in prestigious journals such as Nature Communications, Nature Cell Biology and Circulation Research.

In The Last Decade

Deepthi Sanagasetti

11 papers receiving 620 citations

Hit Papers

mTORC1-independent TFEB a... 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. mTORC1-independent TFEB activation via Akt inhibition promotes cellular clearance in neurodegenerative storage diseases
    2017 352 citations Michela Palmieri, Rituraj Pal et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepthi Sanagasetti United States 9 339 246 167 144 91 11 626
Silvia Castagnaro Italy 9 291 0.9× 273 1.1× 155 0.9× 116 0.8× 40 0.4× 12 519
Monica Cardone Italy 10 330 1.0× 313 1.3× 405 2.4× 174 1.2× 135 1.5× 13 817
Sadatomo Shimojo Japan 5 288 0.8× 402 1.6× 151 0.9× 193 1.3× 104 1.1× 11 735
Muhammad Tariq Masood Khan Pakistan 9 299 0.9× 122 0.5× 51 0.3× 134 0.9× 62 0.7× 26 477
Sang Mi Shim South Korea 13 404 1.2× 174 0.7× 140 0.8× 172 1.2× 13 0.1× 13 661
Gary Stinnett United States 4 168 0.5× 221 0.9× 104 0.6× 100 0.7× 72 0.8× 6 413
Nobuko Matsushita Japan 10 599 1.8× 216 0.9× 107 0.6× 156 1.1× 29 0.3× 12 808
Dean C. Pask United Kingdom 6 438 1.3× 427 1.7× 114 0.7× 178 1.2× 112 1.2× 6 905
Junji Nishimoto Japan 10 226 0.7× 90 0.4× 293 1.8× 105 0.7× 22 0.2× 22 485
Martina Chrisam Italy 10 203 0.6× 158 0.6× 52 0.3× 86 0.6× 27 0.3× 13 336

Countries citing papers authored by Deepthi Sanagasetti

Since Specialization
Citations

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

Fields of papers citing papers by Deepthi Sanagasetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepthi Sanagasetti

This figure shows the co-authorship network connecting the top 25 collaborators of Deepthi Sanagasetti. A scholar is included among the top collaborators of Deepthi Sanagasetti 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 Deepthi Sanagasetti. Deepthi Sanagasetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Singh, Vivek, Christopher T. Ryan, Deepthi Sanagasetti, et al.. (2022). p63 silencing induces epigenetic modulation to enhance human cardiac fibroblast to cardiomyocyte-like differentiation. Scientific Reports. 12(1). 11416–11416. 9 indexed citations
2.
Mathison, Megumi, Deepthi Sanagasetti, Vivek Singh, et al.. (2021). Fibroblast transition to an endothelial “trans” state improves cell reprogramming efficiency. Scientific Reports. 11(1). 22605–22605. 10 indexed citations
3.
Singh, Vivek, Deepthi Sanagasetti, Megumi Mathison, et al.. (2020). Enhanced Generation of Induced Cardiomyocytes Using a Small‐Molecule Cocktail to Overcome Barriers to Cardiac Cellular Reprogramming. Journal of the American Heart Association. 9(12). e015686–e015686. 27 indexed citations
4.
Ronza, Alberto di, Lakshya Bajaj, Jai Prakash Sharma, et al.. (2018). CLN8 is an endoplasmic reticulum cargo receptor that regulates lysosome biogenesis. Nature Cell Biology. 20(12). 1370–1377. 83 indexed citations
5.
Yang, Lina, Hongwen Gao, Deepthi Sanagasetti, et al.. (2018). Abstract 349: Sall4 Blocks Cardiac Trans-differentiation but Stimulates Cardiac Stem-like Cell (iPSC) Generation and Improve Post MI Function In Vivo. Circulation Research. 123(Suppl_1). 1 indexed citations
6.
Singh, Vivek, Deepthi Sanagasetti, Jacqueline K. Olive, et al.. (2018). p63 Silencing induces reprogramming of cardiac fibroblasts into cardiomyocyte-like cells. Journal of Thoracic and Cardiovascular Surgery. 156(2). 556–565.e1. 8 indexed citations
7.
Yang, Lina, Li Liu, Hongwen Gao, et al.. (2017). The stem cell factor SALL4 is an essential transcriptional regulator in mixed lineage leukemia-rearranged leukemogenesis. Journal of Hematology & Oncology. 10(1). 159–159. 37 indexed citations
8.
Mathison, Megumi, Vivek Singh, Deepthi Sanagasetti, et al.. (2017). Cardiac reprogramming factor Gata4 reduces postinfarct cardiac fibrosis through direct repression of the profibrotic mediator snail. Journal of Thoracic and Cardiovascular Surgery. 154(5). 1601–1610.e3. 19 indexed citations
9.
Palmieri, Michela, Rituraj Pal, Hemanth R. Nelvagal, et al.. (2017). mTORC1-independent TFEB activation via Akt inhibition promotes cellular clearance in neurodegenerative storage diseases. Nature Communications. 8(1). 14338–14338. 352 indexed citations breakdown →
10.
Singh, Vivek, Megumi Mathison, Deepthi Sanagasetti, et al.. (2016). MiR‐590 Promotes Transdifferentiation of Porcine and Human Fibroblasts Toward a Cardiomyocyte‐Like Fate by Directly Repressing Specificity Protein 1. Journal of the American Heart Association. 5(11). 41 indexed citations
11.
Mathison, Megumi, Vivek Singh, Marı́a J. Chiuchiolo, et al.. (2016). In situ reprogramming to transdifferentiate fibroblasts into cardiomyocytes using adenoviral vectors: Implications for clinical myocardial regeneration. Journal of Thoracic and Cardiovascular Surgery. 153(2). 329–339.e3. 39 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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