Banumathy Gowrishankar

1.5k total citations
18 papers, 1.1k citations indexed

About

Banumathy Gowrishankar is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Banumathy Gowrishankar has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 5 papers in Cancer Research. Recurrent topics in Banumathy Gowrishankar's work include Renal cell carcinoma treatment (8 papers), Renal and related cancers (7 papers) and Epigenetics and DNA Methylation (6 papers). Banumathy Gowrishankar is often cited by papers focused on Renal cell carcinoma treatment (8 papers), Renal and related cancers (7 papers) and Epigenetics and DNA Methylation (6 papers). Banumathy Gowrishankar collaborates with scholars based in United States, India and Belgium. Banumathy Gowrishankar's co-authors include Paul Cairns, Varsha Singh, Utpal Tatu, Peter D. Adams, Rugang Zhang, John M. Sedivy, Xiaofen Ye, Brad J. Zerlanko, Alyssa L. Kennedy and Robert G. Uzzo and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Molecular Cell.

In The Last Decade

Banumathy Gowrishankar

17 papers receiving 1.1k citations

Peers

Banumathy Gowrishankar

PRM

PHEOH

ONCOL

Joseph H. Jeong United States

Nehmé Saksouk France

José Luis Ramírez Spain

Ji-An Pan United States

Luciana Madeira da Silva United States

Susan Sather United States

Rohit Reja United States

Susan L. Cranmer Australia

Manjit Hanspal United States

Jessica A. Engel Australia

Joseph H. Jeong United States

Banumathy Gowrishankar

880 ×1.1

204 ×0.9

PRM

210 ×1.2

56 ×0.3

PHEOH

778 ×6.3

ONCOL

Citations per year, relative to Banumathy Gowrishankar Banumathy Gowrishankar (= 1×) peers Joseph H. Jeong

Countries citing papers authored by Banumathy Gowrishankar

Since Specialization

Citations

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

Fields of papers citing papers by Banumathy Gowrishankar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Banumathy Gowrishankar

This figure shows the co-authorship network connecting the top 25 collaborators of Banumathy Gowrishankar. A scholar is included among the top collaborators of Banumathy Gowrishankar 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 Banumathy Gowrishankar. Banumathy Gowrishankar 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

Gowrishankar, Banumathy, et al.. (2024). Dosimetric comparative study of 3-dimensional conformal radiation therapy (3D-CRT), volumetric-modulated arc therapy (V-MAT) and hybrid V-MAT (H-VMAT) in radiotherapy of cancer of the esophagus. Indian Journal of Cancer. 61(3). 490–494.

Stenehjem, David D., Andrew W. Hahn, David Gill, et al.. (2019). Predictive genomic markers of response to VEGF targeted therapy in metastatic renal cell carcinoma. PLoS ONE. 14(1). e0210415–e0210415. 11 indexed citations

Su, Xiaoping, Jianping Zhang, Roger Mouawad, et al.. (2017). NSD1 Inactivation and SETD2 Mutation Drive a Convergence toward Loss of Function of H3K36 Writers in Clear Cell Renal Cell Carcinomas. Cancer Research. 77(18). 4835–4845. 38 indexed citations

Gowrishankar, Banumathy, Manickam Janakiraman, Venkata J. Thodima, et al.. (2016). Clinical utility of a custom next-generation sequencing panel in the diagnosis of needle biopsies from renal masses.. Journal of Clinical Oncology. 34(2_suppl). 528–528. 1 indexed citations

Gowrishankar, Banumathy, Hikmat Al‐Ahmadie, Oscar Lin, et al.. (2014). Subtyping of renal cortical neoplasms in fine needle aspiration biopsies using a decision tree based on genomic alterations detected by fluorescence in situ hybridization. British Journal of Urology. 114(6). 881–890. 5 indexed citations

Gowrishankar, Banumathy, Christopher G. Przybycin, Marie‐Aline Charles, et al.. (2014). A Genomic Algorithm for the Molecular Classification of Common Renal Cortical Neoplasms: Development and Validation. The Journal of Urology. 193(5). 1479–1485. 14 indexed citations

Gowrishankar, Banumathy, Yan Zhou, Michael Slifker, et al.. (2013). MicroRNA expression signatures of stage, grade, and progression in clear cell RCC. Cancer Biology & Therapy. 15(3). 329–341. 77 indexed citations

Slifker, Michael, et al.. (2013). Genome-Wide Promoter Methylome of Small Renal Masses. PLoS ONE. 8(10). e77309–e77309. 13 indexed citations

Gowrishankar, Banumathy, et al.. (2011). Abstract 74: Genome-wide DNA methylation analysis of pT1a renal cell carcinoma and renal oncocytomas. Cancer Research. 71(8_Supplement). 74–74. 1 indexed citations

10.

Gowrishankar, Banumathy & Paul Cairns. (2010). Signaling pathways in renal cell carcinoma. Cancer Biology & Therapy. 10(7). 658–664. 166 indexed citations

11.

Sedivy, John M., Banumathy Gowrishankar, & Peter D. Adams. (2008). Aging by epigenetics—A consequence of chromatin damage?. Experimental Cell Research. 314(9). 1909–1917. 115 indexed citations

12.

Gowrishankar, Banumathy, Neeta Somaiah, Rugang Zhang, et al.. (2008). Human UBN1 Is an Ortholog of Yeast Hpc2p and Has an Essential Role in the HIRA/ASF1a Chromatin-Remodeling Pathway in Senescent Cells. Molecular and Cellular Biology. 29(3). 758–770. 99 indexed citations

13.

Ye, Xiaofen, Brad J. Zerlanko, Alyssa L. Kennedy, et al.. (2007). Downregulation of Wnt Signaling Is a Trigger for Formation of Facultative Heterochromatin and Onset of Cell Senescence in Primary Human Cells. Molecular Cell. 27(2). 183–196. 175 indexed citations

14.

Khachane, Amit N., et al.. (2005). “Plasmo2D”: An Ancillary Proteomic Tool to Aid Identification of Proteins from Plasmodium falciparum. Journal of Proteome Research. 4(6). 2369–2374. 5 indexed citations

15.

Gowrishankar, Banumathy, et al.. (2004). Recurrent Fever Promotes Plasmodium falciparum Development in Human Erythrocytes. Journal of Biological Chemistry. 279(45). 46692–46699. 62 indexed citations

16.

Gowrishankar, Banumathy, et al.. (2003). Heat Shock Protein 90 Function Is Essential for Plasmodium falciparum Growth in Human Erythrocytes. Journal of Biological Chemistry. 278(20). 18336–18345. 181 indexed citations

17.

Gowrishankar, Banumathy, Varsha Singh, & Utpal Tatu. (2002). Host Chaperones Are Recruited in Membrane-bound Complexes byPlasmodium falciparum. Journal of Biological Chemistry. 277(6). 3902–3912. 73 indexed citations

18.

Kannan, V., et al.. (1997). Efficacy and safety of granulocyte macrophage-colony stimulating factor (GM-CSF) on the frequency and severity of radiation mucositis in patients with head and neck carcinoma. International Journal of Radiation Oncology*Biology*Physics. 37(5). 1005–1010. 66 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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