Deepa Shukla
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Nephrology top 5%
Papers in
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- Cancer, Hypoxia, and Metabolism 13
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- Epigenetics and DNA Methylation 3
- Metabolism, Diabetes, and Cancer 2
- Renal and related cancers 2
- Co-authors
- Patrick H. Maxwell (13 shared papers)Maxine Tran (3 shared papers)Sarah K. Harten (5 shared papers)Julián Aragonés (1 shared paper)Peter Hill (1 shared paper)H. Terence Cook (1 shared paper)Peter Carmeliet (1 shared paper)Miguel A. Esteban (5 shared papers)
- Journals
- Journal of the American Society of Nephrology (3 papers)PLoS ONE (2 papers)Journal of Clinical Investigation (2 papers)Molecular Therapy (1 paper)Oncogene (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Deepa Shukla
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Cancer Research 557
- Nephrology 108
- Molecular Biology 667
- Genetics 196
- Biochemistry 49
Countries citing papers authored by Deepa Shukla
This map shows the geographic impact of Deepa Shukla'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 Deepa Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepa Shukla more than expected).
Fields of papers citing papers by Deepa Shukla
This network shows the impact of papers produced by Deepa Shukla. 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 Deepa Shukla. The network helps show where Deepa Shukla may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepa Shukla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 230 | |
| 2 | 2014 | 137 | |
| 3 | 2007 | 129 | |
| 4 | 2008 | 102 | |
| 5 | 2010 | 90 | |
| 6 | 2011 | 83 | |
| 7 | 2012 | 77 | |
| 8 | 2012 | 69 | |
| 9 | 2008 | 67 | |
| 10 | 2010 | 57 | |
| 11 | 2010 | 51 | |
| 12 | 2017 | 36 | |
| 13 | 2011 | 30 | |
| 14 | 2011 | 30 | |
| 15 | 2020 | 28 | |
| 16 | 2021 | 7 | |
| 17 | 2018 | 6 | |
| 18 | 2011 | 3 | |
| 19 | Epigenetic regulation of HIF-1 alpha in renal cancer cells involves HIF-1 alpha/2 alpha binding to a reverse hypoxia-response element | 2012 | 2 |
| 20 | 2025 | 1 |
About Deepa Shukla
Deepa Shukla is a scholar working on Cancer Research, Molecular Biology, Genetics, Surgery and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (13 papers), Epigenetics and DNA Methylation (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Renal and related cancers (2 papers), CAR-T cell therapy research (2 papers), Medicinal Plants and Neuroprotection (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Cancer Research (557 citations), Nephrology (108 citations), Molecular Biology (667 citations), Genetics (196 citations) and Biochemistry (49 citations). Deepa Shukla has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Patrick H. Maxwell, Maxine Tran, Sarah K. Harten, Julián Aragonés, Peter Hill, H. Terence Cook, Peter Carmeliet, Miguel A. Esteban, Margaret Ashcroft and Thomas Briston. Their work appears in journals such as Journal of the American Society of Nephrology, PLoS ONE, Journal of Clinical Investigation, Molecular Therapy and Oncogene.
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.