Amit Deorukhkar

2.5k total citations
34 papers, 1.8k citations indexed

About

Amit Deorukhkar is a scholar working on Molecular Biology, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Amit Deorukhkar has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Biomedical Engineering and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Amit Deorukhkar's work include Nanoplatforms for cancer theranostics (8 papers), Natural product bioactivities and synthesis (4 papers) and Nanoparticle-Based Drug Delivery (4 papers). Amit Deorukhkar is often cited by papers focused on Nanoplatforms for cancer theranostics (8 papers), Natural product bioactivities and synthesis (4 papers) and Nanoparticle-Based Drug Delivery (4 papers). Amit Deorukhkar collaborates with scholars based in United States, India and Netherlands. Amit Deorukhkar's co-authors include Sunil Krishnan, Bharat B. Aggarwal, Parmeswaran Diagaradjane, Sushovan Guha, Shujun Shentu, Juri G. Gelovani, Ajaikumar B. Kunnumakkara, Sunil Krishnan, Gautam Sethi and Bokyung Sung and has published in prestigious journals such as Journal of Clinical Oncology, Nano Letters and ACS Nano.

In The Last Decade

Amit Deorukhkar

34 papers receiving 1.8k citations

Peers

Amit Deorukhkar
Philip J. Moos United States
Frederick Luk Australia
Mysore S. Veena United States
M. Lakshmi Kuppusamy United States
Amit Deorukhkar
Citations per year, relative to Amit Deorukhkar Amit Deorukhkar (= 1×) peers Donghui Zheng

Countries citing papers authored by Amit Deorukhkar

Since Specialization
Citations

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

Fields of papers citing papers by Amit Deorukhkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Deorukhkar

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

All Works

20 of 20 papers shown
1.
Fujimoto, Tara N., Lauren E. Colbert, Yanqing Huang, et al.. (2019). Selective EGLN Inhibition Enables Ablative Radiotherapy and Improves Survival in Unresectable Pancreatic Cancer. Cancer Research. 79(9). 2327–2338. 22 indexed citations
2.
Singh, Pankaj K., Amit Deorukhkar, Bhanu Prasad Venkatesulu, et al.. (2019). Exploiting Arginine Auxotrophy with Pegylated Arginine Deiminase (ADI-PEG20) to Sensitize Pancreatic Cancer to Radiotherapy via Metabolic Dysregulation. Molecular Cancer Therapeutics. 18(12). 2381–2393. 28 indexed citations
3.
Yu, Meifang, Nicholas D. Nguyen, Yanqing Huang, et al.. (2019). Mitochondrial fusion exploits a therapeutic vulnerability of pancreatic cancer. JCI Insight. 4(16). 129 indexed citations
4.
Molkentine, Jessica M., Tara N. Fujimoto, Thomas D. Horvath, et al.. (2019). Enteral Activation of WR-2721 Mediates Radioprotection and Improved Survival from Lethal Fractionated Radiation. Scientific Reports. 9(1). 1949–1949. 15 indexed citations
5.
Chen, Yuan, Maureen Aliru, Amit Deorukhkar, et al.. (2018). Hypoxia-targeted gold nanorods for cancer photothermal therapy. Oncotarget. 9(41). 26556–26571. 29 indexed citations
6.
Diagaradjane, Parmeswaran, et al.. (2015). TU-F-CAMPUS-T-03: Enhancing the Tumor Specific Radiosensitization Using Molecular Targeted Gold Nanorods. Medical Physics. 42(6Part36). 3644–3644. 1 indexed citations
7.
Prasad, Sahdeo, Vivek R. Yadav, Bokyung Sung, et al.. (2012). Ursolic Acid Inhibits Growth and Metastasis of Human Colorectal Cancer in an Orthotopic Nude Mouse Model by Targeting Multiple Cell Signaling Pathways: Chemosensitization with Capecitabine. Clinical Cancer Research. 18(18). 4942–4953. 152 indexed citations
9.
Kunnumakkara, Ajaikumar B., Bokyung Sung, Jayaraj Ravindran, et al.. (2011). Zyflamend suppresses growth and sensitizes human pancreatic tumors to gemcitabine in an orthotopic mouse model through modulation of multiple targets. International Journal of Cancer. 131(3). E292–303. 52 indexed citations
10.
Kunnumakkara, Ajaikumar B., Bokyung Sung, Jayaraj Ravindran, et al.. (2010). γ-Tocotrienol Inhibits Pancreatic Tumors and Sensitizes Them to Gemcitabine Treatment by Modulating the Inflammatory Microenvironment. Cancer Research. 70(21). 8695–8705. 107 indexed citations
11.
Deorukhkar, Amit & Sunil Krishnan. (2010). Targeting inflammatory pathways for tumor radiosensitization. Biochemical Pharmacology. 80(12). 1904–1914. 117 indexed citations
12.
Deorukhkar, Amit, Shujun Shentu, Hee Chul Park, et al.. (2010). Inhibition of Radiation-Induced DNA Repair and Prosurvival Pathways Contributes to Vorinostat-Mediated Radiosensitization of Pancreatic Cancer Cells. Pancreas. 39(8). 1277–1283. 17 indexed citations
13.
Diagaradjane, Parmeswaran, Amit Deorukhkar, Juri G. Gelovani, Dipen M. Maru, & Sunil Krishnan. (2010). Gadolinium Chloride Augments Tumor-Specific Imaging of Targeted Quantum Dots In Vivo. ACS Nano. 4(7). 4131–4141. 58 indexed citations
14.
Kunnumakkara, Ajaikumar B., Parmeswaran Diagaradjane, Preetha Anand, et al.. (2009). Curcumin sensitizes human colorectal cancer to capecitabine by modulation of cyclin D1, COX‐2, MMP‐9, VEGF and CXCR4 expression in an orthotopic mouse model. International Journal of Cancer. 125(9). 2187–2197. 161 indexed citations
15.
Sandur, Santosh K., Amit Deorukhkar, Manoj K. Pandey, et al.. (2009). Curcumin Modulates the Radiosensitivity of Colorectal Cancer Cells by Suppressing Constitutive and Inducible NF-κB Activity. International Journal of Radiation Oncology*Biology*Physics. 75(2). 534–542. 162 indexed citations
16.
Diagaradjane, Parmeswaran, Amit Deorukhkar, Shujun Shentu, et al.. (2008). Imaging Epidermal Growth Factor Receptor Expression In vivo : Pharmacokinetic and Biodistribution Characterization of a Bioconjugated Quantum Dot Nanoprobe. Clinical Cancer Research. 14(3). 731–741. 143 indexed citations
18.
Deorukhkar, Amit, Ramesh Chander, Sukhendu Bikash Ghosh, & Krishna B. Sainis. (2007). Identification of a red-pigmented bacterium producing a potent anti-tumor N-alkylated prodigiosin as Serratia marcescens. Research in Microbiology. 158(5). 399–404. 25 indexed citations
19.
Deorukhkar, Amit, Ramesh Chander, Ruchi Pandey, & Krishna B. Sainis. (2007). A novel N-alkylated prodigiosin analogue induced death in tumour cell through apoptosis or necrosis depending upon the cell type. Cancer Chemotherapy and Pharmacology. 61(3). 355–363. 3 indexed citations
20.
Deorukhkar, Amit, Sunil Krishnan, Gautam Sethi, & Bharat B. Aggarwal. (2007). Back to basics: how natural products can provide the basis for new therapeutics. Expert Opinion on Investigational Drugs. 16(11). 1753–1773. 109 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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