Veena Krishnappa

530 total citations
11 papers, 447 citations indexed

About

Veena Krishnappa is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Veena Krishnappa has authored 11 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Genetics and 4 papers in Oncology. Recurrent topics in Veena Krishnappa's work include Mesenchymal stem cell research (8 papers), Fibroblast Growth Factor Research (3 papers) and Epigenetics and DNA Methylation (3 papers). Veena Krishnappa is often cited by papers focused on Mesenchymal stem cell research (8 papers), Fibroblast Growth Factor Research (3 papers) and Epigenetics and DNA Methylation (3 papers). Veena Krishnappa collaborates with scholars based in United States, Italy and Taiwan. Veena Krishnappa's co-authors include Donald G. Phinney, Siddaraju V. Boregowda, Luis A. Ortiz, Christopher L. Haga, Jeremy W. Chambers, Philip V. LoGrasso, Iryna A. Isakova, Marcelo J. Kuroda, Cori N. Booker and Anutosh Chakraborty and has published in prestigious journals such as PLoS ONE, Cell Death and Differentiation and Stem Cells.

In The Last Decade

Veena Krishnappa

11 papers receiving 434 citations

Peers

Veena Krishnappa

GENET

SURGE

ONCOL

Jessica Cuerquis Canada

Stefanie Liedtke Germany

Jennifer Ryan United States

Meng Yu Wang Norway

Johannes Leibacher Germany

Yali Xuan Canada

Andrew L'Huillier United States

Juçara Gastaldi Cominal Brazil

Ningxia Xie China

Pablo Mancheño‐Corvo Spain

Jessica Cuerquis Canada

Veena Krishnappa

198 ×0.7

GENET

171 ×1.0

128 ×0.9

SURGE

92 ×1.2

ONCOL

44 ×0.7

Citations per year, relative to Veena Krishnappa Veena Krishnappa (= 1×) peers Jessica Cuerquis

Countries citing papers authored by Veena Krishnappa

Since Specialization

Citations

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

Fields of papers citing papers by Veena Krishnappa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veena Krishnappa

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

All Works

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11 of 11 papers shown

Haga, Christopher L., Siddaraju V. Boregowda, Cori N. Booker, et al.. (2022). Mesenchymal stem/stromal cells from a transplanted, asymptomatic patient with Fanconi anemia exhibit an aging-like phenotype and dysregulated expression of genes implicated in hematopoiesis and myelodysplasia. Cytotherapy. 25(4). 362–368. 4 indexed citations

Boregowda, Siddaraju V., et al.. (2018). Basal p53 expression is indispensable for mesenchymal stem cell integrity. Cell Death and Differentiation. 25(4). 679–692. 41 indexed citations

Boregowda, Siddaraju V., S. P. Ghoshal, Cori N. Booker, et al.. (2017). IP6K1 Reduces Mesenchymal Stem/Stromal Cell Fitness and Potentiates High Fat Diet-Induced Skeletal Involution. Stem Cells. 35(8). 1973–1983. 23 indexed citations

Boregowda, Siddaraju V., Veena Krishnappa, Cori N. Booker, & Donald G. Phinney. (2017). Interruption of FGFR2 signaling licenses the immuno-modulatory activity of human MSCs by suppressing TWIST1 expression. Cytotherapy. 19(5). S28–S28. 1 indexed citations

Boregowda, Siddaraju V., Veena Krishnappa, & Donald G. Phinney. (2016). Isolation of Mouse Bone Marrow Mesenchymal Stem Cells. Methods in molecular biology. 1416. 205–223. 35 indexed citations

Boregowda, Siddaraju V., Veena Krishnappa, Christopher L. Haga, Luis A. Ortiz, & Donald G. Phinney. (2015). A Clinical Indications Prediction Scale Based on TWIST1 for Human Mesenchymal Stem Cells. EBioMedicine. 4. 62–73. 74 indexed citations

Isakova, Iryna A., et al.. (2014). Allo-Reactivity of Mesenchymal Stem Cells in Rhesus Macaques Is Dose and Haplotype Dependent and Limits Durable Cell Engraftment In Vivo. PLoS ONE. 9(1). e87238–e87238. 84 indexed citations

Krishnappa, Veena, Siddaraju V. Boregowda, & Donald G. Phinney. (2014). FGF2 protects mouse mesenchymal stem cells from oxidative stress by modulating a twist2-p53 signaling axis. Cytotherapy. 16(4). S74–S74. 1 indexed citations

Krishnappa, Veena, Siddaraju V. Boregowda, & Donald G. Phinney. (2013). The peculiar biology of mouse mesenchymal stromal cells—oxygen is the key. Cytotherapy. 15(5). 536–541. 18 indexed citations

10.

Boregowda, Siddaraju V., Veena Krishnappa, Jeremy W. Chambers, et al.. (2012). Atmospheric Oxygen Inhibits Growth and Differentiation of Marrow‐Derived Mouse Mesenchymal Stem Cells via a p53‐Dependent Mechanism: Implications for Long‐Term Culture Expansion. Stem Cells. 30(5). 975–987. 95 indexed citations

11.

Krishnappa, Veena, et al.. (2011). Fibroblast Growth Factor 2 (Fgf2) Inhibits Differentiation of Mesenchymal Stem Cells by InducingTwist2andSpry4, Blocking Extracellular Regulated Kinase Activation, and Altering Fgf Receptor Expression Levels. Stem Cells. 29(7). 1102–1111. 71 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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