Uma Kamasani

1.0k total citations
12 papers, 829 citations indexed

About

Uma Kamasani is a scholar working on Molecular Biology, Oncology and Plant Science. According to data from OpenAlex, Uma Kamasani has authored 12 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Plant Science. Recurrent topics in Uma Kamasani's work include Cell death mechanisms and regulation (4 papers), Cancer-related Molecular Pathways (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Uma Kamasani is often cited by papers focused on Cell death mechanisms and regulation (4 papers), Cancer-related Molecular Pathways (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Uma Kamasani collaborates with scholars based in United States, France and Ireland. Uma Kamasani's co-authors include George C. Prendergast, James B. DuHadaway, Richard Metz, Alexander J. Muller, Lisa D. Laury‐Kleintop, Dortje Golldack, Hans J. Bohnert, Françoise Quigley, Christine B. Michalowski and John Bennett and has published in prestigious journals such as PLANT PHYSIOLOGY, Cancer Research and Oncogene.

In The Last Decade

Uma Kamasani

12 papers receiving 812 citations

Peers

Uma Kamasani
Tomoko Hayakawa Japan
Ting Huang China
Patrícia A. Pereira Brazil
Paula Ashe Canada
Gunnar Tasa Estonia
Rodrigo R. R. Duarte United Kingdom
Joseph Trakalo Canada
Zbigniew L. Olkowski United States
Fedor Gusev United States
Yuezhen Li China
Tomoko Hayakawa Japan
Uma Kamasani
Citations per year, relative to Uma Kamasani Uma Kamasani (= 1×) peers Tomoko Hayakawa

Countries citing papers authored by Uma Kamasani

Since Specialization
Citations

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

Fields of papers citing papers by Uma Kamasani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uma Kamasani

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

All Works

12 of 12 papers shown
1.
Metz, Richard, James B. DuHadaway, Uma Kamasani, et al.. (2007). Novel Tryptophan Catabolic Enzyme IDO2 Is the Preferred Biochemical Target of the Antitumor Indoleamine 2,3-Dioxygenase Inhibitory Compound d -1-Methyl-Tryptophan. Cancer Research. 67(15). 7082–7087. 387 indexed citations
2.
Kamasani, Uma, James B. DuHadaway, Arthur S. Alberts, & George C. Prendergast. (2007). mDia function is critical for the cell suicide program triggered by farnesyl transferase inhibition. Cancer Biology & Therapy. 6(9). 1418–1423. 13 indexed citations
3.
Kamasani, Uma & George C. Prendergast. (2005). Genetic response to DNA damage: Proapoptotic targets of RhoB include modules for p53 response and susceptibility to alzheimer’s disease. Cancer Biology & Therapy. 4(3). 282–288. 13 indexed citations
4.
Huang, Mengying, Uma Kamasani, & George C. Prendergast. (2005). RhoB facilitates c-Myc turnover by supporting efficient nuclear accumulation of GSK-3. Oncogene. 25(9). 1281–1289. 22 indexed citations
5.
Kamasani, Uma, Minzhou Huang, James B. DuHadaway, et al.. (2004). Cyclin B1 Is a Critical Target of RhoB in the Cell Suicide Program Triggered by Farnesyl Transferase Inhibition. Cancer Research. 64(22). 8389–8396. 18 indexed citations
6.
Golldack, Dortje, Françoise Quigley, Christine B. Michalowski, Uma Kamasani, & Hans J. Bohnert. (2003). Salinity stress-tolerant and -sensitive rice (Oryza sativa L.) regulate AKT1-type potassium channel transcripts differently. Plant Molecular Biology. 51(1). 71–81. 162 indexed citations
7.
Kamasani, Uma, et al.. (2003). Genetic Response to Farnesyltransferase Inhibitors: Proapoptotic Targets of RhoB. Cancer Biology & Therapy. 2(3). 271–278. 7 indexed citations
8.
Golldack, Dortje, Hua Su, Françoise Quigley, et al.. (2002). Characterization of a HKT‐type transporter in rice as a general alkali cation transporter. The Plant Journal. 31(4). 529–542. 122 indexed citations
9.
Nara, Masayuki, et al.. (2000). Guanylyl cyclase stimulatory coupling to KCachannels. American Journal of Physiology-Cell Physiology. 279(6). C1938–C1945. 43 indexed citations
10.
Fang, Zhiwei, Uma Kamasani, & Gerald A. Berkowitz. (1998). Molecular cloning and expression characterization of a rice K+ channel β subunit. Plant Molecular Biology. 37(4). 597–606. 14 indexed citations
11.
Golldack, Dortje, et al.. (1997). Salt-stress dependent expression of a HKT1-type high affinity potassium transporter in rice.. PLANT PHYSIOLOGY. 15 indexed citations
12.
Bohnert, Hans J., Dortje Golldack, Manabu Ishitani, et al.. (1996). Salt Tolerance Engineering Requires Multiple Gene Transfersa. Annals of the New York Academy of Sciences. 792(1). 115–125. 13 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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