Vanita Natu

966 total citations
18 papers, 768 citations indexed

About

Vanita Natu is a scholar working on Molecular Biology, Biochemistry and Physiology. According to data from OpenAlex, Vanita Natu has authored 18 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Biochemistry and 6 papers in Physiology. Recurrent topics in Vanita Natu's work include Lipid metabolism and biosynthesis (7 papers), Adipose Tissue and Metabolism (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Vanita Natu is often cited by papers focused on Lipid metabolism and biosynthesis (7 papers), Adipose Tissue and Metabolism (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Vanita Natu collaborates with scholars based in United States, Germany and Japan. Vanita Natu's co-authors include Fredric B. Kraemer, Wen‐Jun Shen, Shailja Patel, Shun Ishibashi, Jun-ichi Osuga, Kenji Harada, Jining Wang, Salman Azhar, Richard Hong and Carole Sztalryd and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Vanita Natu

18 papers receiving 759 citations

Peers

Vanita Natu

PHYSI

BIOCH

SURGE

ONCOL

Abhijit Chakladar United States

László Bajnok Hungary

D Falb United States

Kelly A. Combs United States

Lawrence Chan United States

Vanessa Euthine France

Maria Matzaris Australia

Jesper Grud Skat Madsen Denmark

Christian Bindesbøll Norway

Ingrid Torregroza United States

Abhijit Chakladar United States

Vanita Natu

574 ×1.6

222 ×0.9

PHYSI

234 ×1.1

BIOCH

75 ×0.4

SURGE

141 ×1.5

ONCOL

Citations per year, relative to Vanita Natu Vanita Natu (= 1×) peers Abhijit Chakladar

Countries citing papers authored by Vanita Natu

Since Specialization

Citations

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

Fields of papers citing papers by Vanita Natu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanita Natu

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

All Works

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18 of 18 papers shown

Shen, Zhu, Cecelia Perkins, Vanita Natu, et al.. (2021). Platelet transcriptome identifies progressive markers and potential therapeutic targets in chronic myeloproliferative neoplasms. Cell Reports Medicine. 2(10). 100425–100425. 34 indexed citations

Krishnan, Anandi, Jason Gotlib, Holden T. Maecker, et al.. (2021). 3082 – PLATELET TRANSCRIPTOME YIELDS PROGRESSIVE MARKERS IN CHRONIC MYELOPROLIFERATIVE NEOPLASMS AND IDENTIFIES PUTATIVE TARGETS OF THERAPY. Experimental Hematology. 100. S82–S82. 1 indexed citations

Hou, Luqia, Joseph J. Kim, Maureen Wanjare, et al.. (2017). Combinatorial Extracellular Matrix Microenvironments for Probing Endothelial Differentiation of Human Pluripotent Stem Cells. Scientific Reports. 7(1). 6551–6551. 20 indexed citations

Triboulet, Melanie, Amin Zia, Meghah Vuppalapaty, et al.. (2017). Workflow optimization of whole genome amplification and targeted panel sequencing for CTC mutation detection. npj Genomic Medicine. 2(1). 34–34. 38 indexed citations

Luo, Dan, Antoine de Morrée, Stéphane C. Boutet, et al.. (2017). Deltex2 represses MyoD expression and inhibits myogenic differentiation by acting as a negative regulator of Jmjd1c. Proceedings of the National Academy of Sciences. 114(15). E3071–E3080. 30 indexed citations

Hou, Luqia, John A. Coller, Vanita Natu, Trevor Hastie, & Ngan F. Huang. (2016). Combinatorial extracellular matrix microenvironments promote survival and phenotype of human induced pluripotent stem cell-derived endothelial cells in hypoxia. Acta Biomaterialia. 44. 188–199. 39 indexed citations

Boutet, Stéphane C., Stefano Biressi, Kevin Iori, Vanita Natu, & Thomas A. Rando. (2010). Taf1 Regulates Pax3 Protein by Monoubiquitination in Skeletal Muscle Progenitors. Molecular Cell. 40(5). 749–761. 34 indexed citations

Wurdak, Heiko, Shoutian Zhu, Angélica Romero, et al.. (2010). An RNAi Screen Identifies TRRAP as a Regulator of Brain Tumor-Initiating Cell Differentiation. Cell stem cell. 6(1). 37–47. 94 indexed citations

Shen, Wen‐Jun, Shailja Patel, Vanita Natu, et al.. (2003). Interaction of Hormone-sensitive Lipase with Steroidogeneic Acute Regulatory Protein. Journal of Biological Chemistry. 278(44). 43870–43876. 59 indexed citations

10.

Harada, Kenji, Wen‐Jun Shen, Shailja Patel, et al.. (2003). Resistance to high-fat diet-induced obesity and altered expression of adipose-specific genes in HSL-deficient mice. American Journal of Physiology-Endocrinology and Metabolism. 285(6). E1182–E1195. 138 indexed citations

11.

Kraemer, Fredric B., Wen‐Jun Shen, Vanita Natu, et al.. (2002). Adrenal Neutral Cholesteryl Ester Hydrolase: Identification, Subcellular Distribution, and Sex Differences. Endocrinology. 143(3). 801–806. 50 indexed citations

12.

Shen, Wen‐Jun, Liang Yú, Richard Hong, et al.. (2001). Characterization of the Functional Interaction of Adipocyte Lipid-binding Protein with Hormone-sensitive Lipase. Journal of Biological Chemistry. 276(52). 49443–49448. 69 indexed citations

13.

Kraemer, Fredric B., David Y. Takeda, Vanita Natu, & Carole Sztalryd. (1998). Insulin regulates lipoprotein lipase activity in rat adipose cells via wortmannin- and rapamycin-sensitive pathways. Metabolism. 47(5). 555–559. 46 indexed citations

14.

Shen, Wen‐Jun, Shailja Patel, Vanita Natu, & Fredric B. Kraemer. (1998). Mutational Analysis of Structural Features of Rat Hormone-Sensitive Lipase. Biochemistry. 37(25). 8973–8979. 65 indexed citations

15.

Kwok, See, et al.. (1997). Dietary Regulation of the Very Low Density Lipoprotein Receptor in Mouse Heart and Fat. Hormone and Metabolic Research. 29(10). 524–529. 18 indexed citations

16.

Kraemer, Fredric B., Loren G. Fong, Shushma Patel, Vanita Natu, & M C Komaromy. (1997). Overexpression of hormone-sensitive lipase in Chinese hamster ovary cells leads to abnormalities in cholesterol homeostasis. Journal of Lipid Research. 38(8). 1553–1561. 9 indexed citations

17.

Kraemer, Fredric B., Vanita Natu, Shushma Patel, et al.. (1996). Isoproterenol decreases LDL receptor expression in rat adipose cells: activation of cyclic AMP-dependent proteolysis. Journal of Lipid Research. 37(2). 237–249. 6 indexed citations

18.

Kraemer, Fredric B., Carole Sztalryd, Vanita Natu, et al.. (1994). Low density lipoprotein receptors in rat adipose cells: subcellular localization and regulation by insulin. Journal of Lipid Research. 35(10). 1760–1772. 18 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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