Nirav Shah

963 total citations
22 papers, 587 citations indexed

About

Nirav Shah is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Nirav Shah has authored 22 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Infectious Diseases. Recurrent topics in Nirav Shah's work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers) and Cancer-related molecular mechanisms research (4 papers). Nirav Shah is often cited by papers focused on MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers) and Cancer-related molecular mechanisms research (4 papers). Nirav Shah collaborates with scholars based in United States, India and United Kingdom. Nirav Shah's co-authors include Vivek P. Chavda, Megan Moerdyk‐Schauwecker, Valery Z. Grdzelishvili, Eric Hastie, Pinku Mukherjee, Nam Y. Lee, Hexin Chen, Sanjay Kumar, Normi D. Gajjar and Yogin Patel and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Nirav Shah

22 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nirav Shah United States 14 277 137 117 93 77 22 587
Minh Nam Nguyen Vietnam 13 258 0.9× 98 0.7× 63 0.5× 84 0.9× 39 0.5× 40 555
Ryan Dickerson United States 12 319 1.2× 59 0.4× 148 1.3× 47 0.5× 58 0.8× 15 668
David Gagné Canada 11 264 1.0× 59 0.4× 53 0.5× 154 1.7× 47 0.6× 18 739
Li Qiu China 14 539 1.9× 236 1.7× 79 0.7× 52 0.6× 49 0.6× 29 735
Jinling Wang China 11 333 1.2× 83 0.6× 39 0.3× 161 1.7× 50 0.6× 38 646
Xinye Wang China 13 290 1.0× 121 0.9× 31 0.3× 76 0.8× 48 0.6× 45 503
Shi Hu Jiang China 12 485 1.8× 107 0.8× 95 0.8× 177 1.9× 32 0.4× 14 695
Zhaohu Yuan China 13 168 0.6× 66 0.5× 22 0.2× 63 0.7× 80 1.0× 29 490
Hamidreza Zalpoor Iran 20 376 1.4× 165 1.2× 44 0.4× 164 1.8× 114 1.5× 39 790
Yan Cui China 12 346 1.2× 142 1.0× 32 0.3× 51 0.5× 32 0.4× 43 706

Countries citing papers authored by Nirav Shah

Since Specialization
Citations

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

Fields of papers citing papers by Nirav Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirav Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Nirav Shah. A scholar is included among the top collaborators of Nirav Shah 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 Nirav Shah. Nirav Shah 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.
Chavda, Vivek P., et al.. (2023). Convalescent plasma (hyperimmune immunoglobulin) for COVID-19 management: An update. Process Biochemistry. 127. 66–81. 10 indexed citations
2.
Huang, Zoufang, Vivek P. Chavda, Lalitkumar K. Vora, et al.. (2022). 2-Deoxy-D-Glucose and its Derivatives for the COVID-19 Treatment: An Update. Frontiers in Pharmacology. 13. 899633–899633. 32 indexed citations
3.
Shah, Sunny, et al.. (2022). Studies in Development and Statistical Optimization of Levofloxacin Solid Lipid Nanoparticles for the Treatment of Tuberculosis. Journal of Pharmaceutical Innovation. 17(4). 1322–1332. 5 indexed citations
4.
Soniwala, Moinuddin, et al.. (2022). Development of a UV visible spectrophotometric method for simultaneous estimation of Ranolazine and Metoprolol. Journal of Drug Delivery and Therapeutics. 12(3-S). 64–72. 1 indexed citations
5.
Chavda, Vivek P., et al.. (2022). Advanced particulate carrier-mediated technologies for nasal drug delivery. Journal of Drug Delivery Science and Technology. 74. 103569–103569. 31 indexed citations
6.
Chavda, Vivek P., et al.. (2021). Darunavir ethanolate: Repurposing an anti-HIV drug in COVID-19 treatment. SHILAP Revista de lepidopterología. 3. 100013–100013. 32 indexed citations
7.
Chavda, Vivek P., et al.. (2021). Advanced Computational Methodologies Used in the Discovery of New Natural Anticancer Compounds. Frontiers in Pharmacology. 12. 702611–702611. 38 indexed citations
8.
Patel, Yogin, Alexander Awgulewitsch, Michael J. Kern, et al.. (2018). Overexpression of miR-489 derails mammary hierarchy structure and inhibits HER2/neu-induced tumorigenesis. Oncogene. 38(3). 445–453. 17 indexed citations
9.
Shah, Nirav, Sanjay Kumar, Christopher C. Pan, et al.. (2018). TAK1 activation of alpha-TAT1 and microtubule hyperacetylation control AKT signaling and cell growth. Nature Communications. 9(1). 1696–1696. 46 indexed citations
10.
Shah, Nirav, et al.. (2017). Enhanced recovery: pathways to better care. British Journal of Hospital Medicine. 78(10). 597–597. 1 indexed citations
11.
Shah, Nirav, et al.. (2017). Novel Crosstalk between Insulin and TGF‐beta signaling in Vascular Endothelial Cells. The FASEB Journal. 31(S1). 1 indexed citations
12.
Patel, Yogin, Nirav Shah, Ji Shin Lee, et al.. (2016). A novel double-negative feedback loop between miR-489 and the HER2-SHP2-MAPK signaling axis regulates breast cancer cell proliferation and tumor growth. Oncotarget. 7(14). 18295–18308. 54 indexed citations
13.
Kumar, Sanjay, Christopher C. Pan, Nirav Shah, et al.. (2016). Activation of Mitofusin2 by Smad2-RIN1 Complex during Mitochondrial Fusion. Molecular Cell. 62(4). 520–531. 43 indexed citations
14.
Shah, Nirav & Nam Y. Lee. (2016). Regulation of gene expression and mitochondrial dynamics by SMAD. Molecular & Cellular Oncology. 3(5). e1204492–e1204492. 2 indexed citations
15.
Shah, Nirav. (2014). MicroRNAs in pathogenesis of breast cancer: Implications in diagnosis and treatment. World Journal of Clinical Oncology. 5(2). 48–48. 58 indexed citations
16.
Pan, Christopher C., Sanjay Kumar, Nirav Shah, et al.. (2014). Src-mediated Post-translational Regulation of Endoglin Stability and Function Is Critical for Angiogenesis. Journal of Biological Chemistry. 289(37). 25486–25496. 17 indexed citations
17.
Hastie, Eric, Dahlia M. Besmer, Nirav Shah, et al.. (2013). Oncolytic Vesicular Stomatitis Virus in an Immunocompetent Model of MUC1-Positive or MUC1-Null Pancreatic Ductal Adenocarcinoma. Journal of Virology. 87(18). 10283–10294. 23 indexed citations
18.
Moerdyk‐Schauwecker, Megan, et al.. (2012). Resistance of pancreatic cancer cells to oncolytic vesicular stomatitis virus: Role of type I interferon signaling. Virology. 436(1). 221–234. 97 indexed citations
19.
Glanz, Morton, et al.. (1995). Biofeedback therapy in poststroke rehabilitation: A meta-analysis of the randomized controlled trials. Archives of Physical Medicine and Rehabilitation. 76(6). 508–515. 53 indexed citations
20.
Klawansky, Sidney, Catherine S. Berkey, Nirav Shah, Frederick Mosteller, & Thomas C. Chalmers. (1993). Survival from Localized Breast Cancer: Variability Across Trials and Registries. International Journal of Technology Assessment in Health Care. 9(4). 539–553. 3 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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