Vrushank Davé

2.2k total citations
33 papers, 1.7k citations indexed

About

Vrushank Davé is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Vrushank Davé has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 11 papers in Pulmonary and Respiratory Medicine and 5 papers in Oncology. Recurrent topics in Vrushank Davé's work include PI3K/AKT/mTOR signaling in cancer (8 papers), Neonatal Respiratory Health Research (5 papers) and Genomics and Chromatin Dynamics (4 papers). Vrushank Davé is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (8 papers), Neonatal Respiratory Health Research (5 papers) and Genomics and Chromatin Dynamics (4 papers). Vrushank Davé collaborates with scholars based in United States, Russia and Saudi Arabia. Vrushank Davé's co-authors include Prerna Malaney, Jeffrey A. Whitsett, Yutaka Maeda, Vladimir N. Uversky, Santo V. Nicosia, Ravi Ramesh Pathak, Jun Ma, Lilia M. Iakoucheva, Steven J. Metallo and Andreas C. Joerger and has published in prestigious journals such as Chemical Reviews, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Vrushank Davé

33 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vrushank Davé United States 22 1.1k 435 266 224 191 33 1.7k
Ge Zhou United States 17 1.1k 1.0× 183 0.4× 380 1.4× 167 0.7× 300 1.6× 32 1.8k
Manuela Balzi Italy 17 767 0.7× 197 0.5× 293 1.1× 197 0.9× 188 1.0× 61 1.4k
Yixing Jiang United States 23 975 0.9× 366 0.8× 680 2.6× 217 1.0× 312 1.6× 81 1.9k
Chun‐Peng Liao United States 19 580 0.5× 307 0.7× 330 1.2× 96 0.4× 198 1.0× 31 1.1k
Mami Sato Japan 20 673 0.6× 498 1.1× 222 0.8× 75 0.3× 412 2.2× 29 1.4k
Susan Ettinger Canada 19 1.3k 1.2× 979 2.3× 410 1.5× 236 1.1× 661 3.5× 31 2.3k
W. Gillies McKenna United States 23 1.1k 1.0× 359 0.8× 599 2.3× 113 0.5× 463 2.4× 37 1.8k
Edwin Cheung Singapore 31 1.8k 1.6× 397 0.9× 345 1.3× 87 0.4× 474 2.5× 76 2.5k
Kyong‐Ah Yoon South Korea 23 910 0.8× 368 0.8× 526 2.0× 117 0.5× 593 3.1× 76 1.6k

Countries citing papers authored by Vrushank Davé

Since Specialization
Citations

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

Fields of papers citing papers by Vrushank Davé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vrushank Davé

This figure shows the co-authorship network connecting the top 25 collaborators of Vrushank Davé. A scholar is included among the top collaborators of Vrushank Davé 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 Vrushank Davé. Vrushank Davé 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.
Uversky, Vladimir N., et al.. (2023). Microproteins transitioning into a new Phase: Defining the undefined. Methods. 220. 38–54. 2 indexed citations
2.
Kathiriya, Jaymin J., et al.. (2017). Galectin-1 inhibition attenuates profibrotic signaling in hypoxia-induced pulmonary fibrosis. Cell Death Discovery. 3(1). 17010–17010. 42 indexed citations
3.
Kathiriya, Jaymin J., Ravi Ramesh Pathak, Alexandr Bezginov, et al.. (2016). Structural pliability adjacent to the kinase domain highlights contribution of FAK1 IDRs to cytoskeletal remodeling. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1865(1). 43–54. 2 indexed citations
4.
Kathiriya, Jaymin J., Ravi Ramesh Pathak, Alexandr Bezginov, et al.. (2016). Data on evolution of intrinsically disordered regions of the human kinome and contribution of FAK1 IDRs to cytoskeletal remodeling. Data in Brief. 10. 315–324. 1 indexed citations
5.
Kathiriya, Jaymin J., et al.. (2014). Presence and utility of intrinsically disordered regions in kinases. Molecular BioSystems. 10(11). 2876–2888. 23 indexed citations
6.
Pathak, Ravi Ramesh & Vrushank Davé. (2014). Integrating <b><i>Omics</i></b> Technologies to Study Pulmonary Physiology and Pathology at the Systems Level. Cellular Physiology and Biochemistry. 33(5). 1239–1260. 9 indexed citations
7.
Malaney, Prerna, Vladimir N. Uversky, & Vrushank Davé. (2014). Identification of intrinsically disordered regions in PTEN and delineation of its function via a network approach. Methods. 77-78. 69–74. 13 indexed citations
8.
Malaney, Prerna, Vladimir N. Uversky, & Vrushank Davé. (2013). The PTEN Long N-tail is intrinsically disordered: increased viability for PTEN therapy. Molecular BioSystems. 9(11). 2877–2888. 44 indexed citations
9.
Pathak, Ravi Ramesh, et al.. (2013). Loss of Phosphatase and Tensin Homolog (PTEN) Induces Leptin-mediated Leptin Gene Expression. Journal of Biological Chemistry. 288(41). 29821–29835. 16 indexed citations
10.
Malaney, Prerna, Santo V. Nicosia, & Vrushank Davé. (2013). One mouse, one patient paradigm: New avatars of personalized cancer therapy. Cancer Letters. 344(1). 1–12. 211 indexed citations
11.
Hardie, William D., James S. Hagood, Vrushank Davé, et al.. (2010). Signaling pathways in the epithelial origins of pulmonary fibrosis. Cell Cycle. 9(14). 2841–2848. 62 indexed citations
12.
Xu, Yan, Minlu Zhang, Yanhua Wang, et al.. (2010). A systems approach to mapping transcriptional networks controlling surfactant homeostasis. BMC Genomics. 11(1). 451–451. 21 indexed citations
13.
Maeda, Yutaka, Vrushank Davé, & Jeffrey A. Whitsett. (2007). Transcriptional Control of Lung Morphogenesis. Physiological Reviews. 87(1). 219–244. 336 indexed citations
14.
Davé, Vrushank, et al.. (2007). Conditional Deletion of Pten Causes Bronchiolar Hyperplasia. American Journal of Respiratory Cell and Molecular Biology. 38(3). 337–345. 28 indexed citations
15.
Maeda, Yutaka, Thomas C. Hunter, David E. Loudy, et al.. (2006). PARP-2 Interacts with TTF-1 and Regulates Expression of Surfactant Protein-B. Journal of Biological Chemistry. 281(14). 9600–9606. 44 indexed citations
16.
17.
Zhao, Chen, et al.. (2000). Target Selectivity of Bicoid Is Dependent on Nonconsensus Site Recognition and Protein-Protein Interaction. Molecular and Cellular Biology. 20(21). 8112–8123. 27 indexed citations
18.
Davé, Vrushank, Chen Zhao, Fan Yang, Chang‐Shung Tung, & Jun Ma. (2000). Reprogrammable Recognition Codes in Bicoid Homeodomain-DNA Interaction. Molecular and Cellular Biology. 20(20). 7673–7684. 39 indexed citations
19.
Katoh, Youichi, Jeffery D. Molkentin, Vrushank Davé, Eric N. Olson, & Muthu Periasamy. (1998). MEF2B Is a Component of a Smooth Muscle-specific Complex That Binds an A/T-rich Element Important for Smooth Muscle Myosin Heavy Chain Gene Expression. Journal of Biological Chemistry. 273(3). 1511–1518. 40 indexed citations
20.
Baker, Debra L., Vrushank Davé, Thomas Reed, & Muthu Periasamy. (1996). Multiple Sp1 Binding Sites in the Cardiac/Slow Twitch Muscle Sarcoplamsic Reticulum Ca2⁺-ATPase Gene Promoter Are Required for Expression in Sol8 Muscle Cells. Journal of Biological Chemistry. 271(10). 5921–5928. 54 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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