Divya Bezwada

2.3k total citations
8 papers, 465 citations indexed

About

Divya Bezwada is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Divya Bezwada has authored 8 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Cancer Research. Recurrent topics in Divya Bezwada's work include Cancer, Hypoxia, and Metabolism (3 papers), Renal cell carcinoma treatment (2 papers) and Epigenetics and DNA Methylation (2 papers). Divya Bezwada is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Renal cell carcinoma treatment (2 papers) and Epigenetics and DNA Methylation (2 papers). Divya Bezwada collaborates with scholars based in United States, Italy and Iran. Divya Bezwada's co-authors include Ralph J. DeBerardinis, Kumar Pichumani, Yair Lotan, Kevin D. Courtney, Iván Pedrosa, Vamsidhara Vemireddy, Craig R. Malloy, Elizabeth A. Maher, Alexander Funk and Payal Kapur and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and JNCI Journal of the National Cancer Institute.

In The Last Decade

Divya Bezwada

8 papers receiving 458 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Divya Bezwada United States 7 287 204 113 85 44 8 465
Jinting Zhou China 13 311 1.1× 144 0.7× 56 0.5× 97 1.1× 43 1.0× 26 543
Stacy Y. Kasitinon United States 4 309 1.1× 233 1.1× 59 0.5× 103 1.2× 36 0.8× 6 484
Phuong Nguyen United States 7 532 1.9× 354 1.7× 129 1.1× 159 1.9× 15 0.3× 10 728
Misty Martin United States 3 250 0.9× 206 1.0× 52 0.5× 89 1.0× 33 0.8× 4 402
Ellappan Babu United States 7 547 1.9× 317 1.6× 70 0.6× 166 2.0× 9 0.2× 10 822
Petra Ohneseit Germany 10 258 0.9× 110 0.5× 73 0.6× 126 1.5× 21 0.5× 14 460
E. Stanbridge United States 3 424 1.5× 165 0.8× 55 0.5× 71 0.8× 13 0.3× 6 502
Ekta Agarwal United States 17 542 1.9× 250 1.2× 85 0.8× 136 1.6× 9 0.2× 23 732
Jia Min Loo Singapore 9 461 1.6× 292 1.4× 51 0.5× 176 2.1× 17 0.4× 14 689
Laura C.A. Galbraith United Kingdom 11 465 1.6× 239 1.2× 106 0.9× 109 1.3× 9 0.2× 17 657

Countries citing papers authored by Divya Bezwada

Since Specialization
Citations

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

Fields of papers citing papers by Divya Bezwada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Divya Bezwada

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

All Works

8 of 8 papers shown
1.
Liu, Zhonglin, Marscha Hirschi, Oleg Brodsky, et al.. (2024). An allosteric cyclin E-CDK2 site mapped by paralog hopping with covalent probes. Nature Chemical Biology. 21(3). 420–431. 7 indexed citations
2.
Mukherjee, Abir, Divya Bezwada, Francesco Greco, et al.. (2023). Adipocytes reprogram cancer cell metabolism by diverting glucose towards glycerol-3-phosphate thereby promoting metastasis. Nature Metabolism. 5(9). 1563–1577. 30 indexed citations
3.
Bezwada, Divya & James Brugarolas. (2023). Reporting on FH-deficient renal cell carcinoma using circulating succinylated metabolites. Journal of Clinical Investigation. 133(11). 6 indexed citations
4.
Aurora, Arin B., Vishal Khivansara, Jennifer G. Gill, et al.. (2022). Loss of glucose 6-phosphate dehydrogenase function increases oxidative stress and glutaminolysis in metastasizing melanoma cells. Proceedings of the National Academy of Sciences. 119(6). 51 indexed citations
5.
Tran, Diem Hong, R. Kesavan, Mona Hoseini Soflaee, et al.. (2021). Mitochondrial NADP+ is essential for proline biosynthesis during cell growth. Nature Metabolism. 3(4). 571–585. 75 indexed citations
6.
Kasitinon, Stacy Y., Uğur Eskiocak, Misty Martin, et al.. (2019). TRPML1 Promotes Protein Homeostasis in Melanoma Cells by Negatively Regulating MAPK and mTORC1 Signaling. Cell Reports. 28(9). 2293–2305.e9. 42 indexed citations
7.
Courtney, Kevin D., Divya Bezwada, Tomoyuki Mashimo, et al.. (2018). Isotope Tracing of Human Clear Cell Renal Cell Carcinomas Demonstrates Suppressed Glucose Oxidation In Vivo. Cell Metabolism. 28(5). 793–800.e2. 197 indexed citations
8.
Askoxylakis, Vasileios, Gino B. Ferraro, David P. Kodack, et al.. (2015). Preclinical Efficacy of Ado-trastuzumab Emtansine in the Brain Microenvironment. JNCI Journal of the National Cancer Institute. 108(2). 57 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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