Deobrat Dixit
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- Cancer-related molecular mechanisms research 6
- Cancer, Hypoxia, and Metabolism 5
- NF-κB Signaling Pathways 3
- Co-authors
- Ellora SenJeremy N. RichRyan C. GimpleShruti BhargavaVivek SharmaNitin KoulSadashib GhoshBriana C. Prager
- Journals
- Cell Death and Disease (3 papers)Science Translational Medicine (2 papers)Cancer Discovery (2 papers)European Journal of Medicinal Chemistry (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Deobrat Dixit
30 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Cancer Research 584
- Genetics 304
- Aging 45
- Endocrine and Autonomic Systems 166
- Molecular Biology 1.1k
Countries citing papers authored by Deobrat Dixit
This map shows the geographic impact of Deobrat Dixit'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 Deobrat Dixit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deobrat Dixit more than expected).
Fields of papers citing papers by Deobrat Dixit
This network shows the impact of papers produced by Deobrat Dixit. 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 Deobrat Dixit. The network helps show where Deobrat Dixit may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deobrat Dixit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 36 | |
| 4 | 2022 | 19 | |
| 5 | The RNA m6A Reader YTHDF2 Maintains Oncogene Expression and Is a Targetable Dependency in Glioblastoma Stem Cells Hit paper breakdown → | 2020 | 274 |
| 6 | 2019 | 217 | |
| 7 | Glioblastoma stem cells: lessons from the tumor hierarchy in a lethal cancer Hit paper breakdown → | 2019 | 359 |
| 8 | 2017 | 28 | |
| 9 | 2016 | 26 | |
| 10 | 2016 | 94 | |
| 11 | 2014 | 84 | |
| 12 | 2013 | 31 | |
| 13 | 2013 | 29 | |
| 14 | 2012 | 15 | |
| 15 | 2012 | 99 | |
| 16 | 2011 | 40 | |
| 17 | 2010 | 22 | |
| 18 | 2009 | 48 | |
| 19 | 2009 | 67 | |
| 20 | 2008 | 34 |
About Deobrat Dixit
Deobrat Dixit is a scholar working on Cancer Research, Toxicology, Aging, Oncology and Genetics, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), RNA modifications and cancer (5 papers), interferon and immune responses (4 papers), Autophagy in Disease and Therapy (4 papers), Glioma Diagnosis and Treatment (3 papers), Epigenetics and DNA Methylation (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Cancer Research (584 citations), Genetics (304 citations), Aging (45 citations), Endocrine and Autonomic Systems (166 citations) and Molecular Biology (1.1k citations). Deobrat Dixit has collaborated with scholars based in India, United States and China. Frequent co-authors include Ellora Sen, Jeremy N. Rich, Ryan C. Gimple, Shruti Bhargava, Vivek Sharma, Nitin Koul, Sadashib Ghosh, Briana C. Prager, Qiulian Wu and Xiuxing Wang. Their work appears in journals such as Cell Death and Disease, Science Translational Medicine, Cancer Discovery, European Journal of Medicinal Chemistry and Clinical Cancer Research.
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.