Pramila Tata

1.8k total citations
9 papers, 1.0k citations indexed

About

Pramila Tata is a scholar working on Molecular Biology, Otorhinolaryngology and Genetics. According to data from OpenAlex, Pramila Tata has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Otorhinolaryngology and 1 paper in Genetics. Recurrent topics in Pramila Tata's work include Fungal and yeast genetics research (3 papers), Cancer-related gene regulation (3 papers) and Molecular Biology Techniques and Applications (2 papers). Pramila Tata is often cited by papers focused on Fungal and yeast genetics research (3 papers), Cancer-related gene regulation (3 papers) and Molecular Biology Techniques and Applications (2 papers). Pramila Tata collaborates with scholars based in United States, India and Israel. Pramila Tata's co-authors include Linda Breeden, Shawna Miles, A. Yaniv, Arnona Gazit, Anna Bafico, Stuart A. Aaronson, Paul W. Finch, Wei Wu, William Stafford Noble and Debraj GuhaThakurta and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and The Journal of Immunology.

In The Last Decade

Pramila Tata

9 papers receiving 1.0k citations

Peers

Pramila Tata

MB

IMMUN

ONCOL

GENET

CB

Gretchen A. Baltus United States

Angelo Amabile United States

Teruhiko Suzuki Japan

Akinori Kawamura Japan

Nianhua Xu United States

Robin Graf Germany

Daniel Bottomly United States

Christian B. Gocke United States

Daechan Park South Korea

Edith H. Wang United States

Gretchen A. Baltus United States

Pramila Tata

664 ×0.8

MB

227 ×1.3

IMMUN

117 ×0.9

ONCOL

73 ×0.6

GENET

98 ×1.7

CB

Citations per year, relative to Pramila Tata Pramila Tata (= 1×) peers Gretchen A. Baltus

Countries citing papers authored by Pramila Tata

Since Specialization

Citations

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

Fields of papers citing papers by Pramila Tata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pramila Tata

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

All Works

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9 of 9 papers shown

1.

James, Bonney Lee, Naveen Hedne, Vikram D. Kekatpure, et al.. (2016). Meta-Analyses of Microarray Datasets Identifies ANO1 and FADD as Prognostic Markers of Head and Neck Cancer. PLoS ONE. 11(1). e0147409–e0147409. 46 indexed citations

2.

Gupta, Manoj Kumar, Priya Krithivasan, Sandip Chavan, et al.. (2016). Sample preparation method considerations for integrated transcriptomic and proteomic analysis of tumors. PROTEOMICS - CLINICAL APPLICATIONS. 11(3-4). 4 indexed citations

3.

Sosa, Maria X., I.K. Ashok Sivakumar, Samantha Maragh, et al.. (2012). Next-Generation Sequencing of Human Mitochondrial Reference Genomes Uncovers High Heteroplasmy Frequency. PLoS Computational Biology. 8(10). e1002737–e1002737. 56 indexed citations

4.

Duraiswamy, Jaikumar, Chris Ibegbu, David Masopust, et al.. (2011). Phenotype, Function, and Gene Expression Profiles of Programmed Death-1hi CD8 T Cells in Healthy Human Adults. The Journal of Immunology. 186(7). 4200–4212. 183 indexed citations

5.

Tata, Pramila, Wei Wu, William Stafford Noble, & Linda Breeden. (2007). Periodic genes of the yeast Saccharomyces cerevisiae: A combined analysis of five cell cycle data sets. 4 indexed citations

6.

Tata, Pramila, Wei Wu, Shawna Miles, William Stafford Noble, & Linda Breeden. (2006). The Forkhead transcription factor Hcm1 regulates chromosome segregation genes and fills the S-phase gap in the transcriptional circuitry of the cell cycle. Genes & Development. 20(16). 2266–2278. 226 indexed citations

7.

Tata, Pramila, et al.. (2002). Conserved homeodomain proteins interact with MADS box protein Mcm1 to restrict ECB-dependent transcription to the M/G1 phase of the cell cycle. Genes & Development. 16(23). 3034–3045. 135 indexed citations

8.

Gazit, Arnona, A. Yaniv, Anna Bafico, et al.. (1999). Human frizzled 1 interacts with transforming Wnts to transduce a TCF dependent transcriptional response. Oncogene. 18(44). 5959–5966. 84 indexed citations

9.

Bafico, Anna, Arnona Gazit, Pramila Tata, et al.. (1999). Interaction of Frizzled Related Protein (FRP) with Wnt Ligands and the Frizzled Receptor Suggests Alternative Mechanisms for FRP Inhibition of Wnt Signaling. Journal of Biological Chemistry. 274(23). 16180–16187. 300 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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