Devaveena Dey
Impact in
- Rheumatology top 2%
- Heterotopic Ossification and Related Conditions
- Nephrology top 5%
Papers in
-
- Pluripotent Stem Cells Research 4
- CRISPR and Genetic Engineering 3
- TGF-β signaling in diseases 2
-
- Heterotopic Ossification and Related Conditions 9
- Co-authors
- Joseph C. Wu (7 shared papers)Annapoorni Rangarajan (3 shared papers)Mei Huang (2 shared papers)Verónica Sánchez-Freire (3 shared papers)Paul B. Yu (5 shared papers)Thomas A. Davis (6 shared papers)Kazuki Kodo (2 shared papers)Joseph Gold (2 shared papers)
- Journals
- Journal of Orthopaedic Research® (3 papers)Stem Cells and Development (2 papers)Stem Cells (1 paper)Oxidative Medicine and Cellular Longevity (1 paper)Translational research (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Devaveena Dey
25 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 96
- Rheumatology 359
- Nephrology 117
- Cancer Research 215
- Genetics 141
- Molecular Biology 855
Countries citing papers authored by Devaveena Dey
This map shows the geographic impact of Devaveena Dey'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 Devaveena Dey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devaveena Dey more than expected).
Fields of papers citing papers by Devaveena Dey
This network shows the impact of papers produced by Devaveena Dey. 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 Devaveena Dey. The network helps show where Devaveena Dey may publish in the future.
Co-authors
The 25 scholars most cited alongside Devaveena Dey, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 181 | |
| 2 | 2016 | 153 | |
| 3 | 2014 | 123 | |
| 4 | 2009 | 116 | |
| 5 | 2018 | 111 | |
| 6 | 2017 | 102 | |
| 7 | 2019 | 97 | |
| 8 | 2009 | 86 | |
| 9 | 2013 | 76 | |
| 10 | 2011 | 73 | |
| 11 | 2014 | 55 | |
| 12 | 2011 | 52 | |
| 13 | 2017 | 44 | |
| 14 | 2021 | 41 | |
| 15 | 2021 | 32 | |
| 16 | 2013 | 29 | |
| 17 | 2020 | 24 | |
| 18 | 2017 | 23 | |
| 19 | 2017 | 16 | |
| 20 | 2020 | 12 |
About Devaveena Dey
Devaveena Dey is a scholar working on Molecular Biology, Rheumatology, Surgery, Genetics and Oncology, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Heterotopic Ossification and Related Conditions (9 papers), Tissue Engineering and Regenerative Medicine (5 papers), Mesenchymal stem cell research (4 papers), Parathyroid Disorders and Treatments (4 papers), Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (3 papers), Genetic Syndromes and Imprinting (3 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Rheumatology (359 citations), Nephrology (117 citations), Cancer Research (215 citations), Genetics (141 citations) and Molecular Biology (855 citations). Devaveena Dey has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Joseph C. Wu, Annapoorni Rangarajan, Mei Huang, Verónica Sánchez-Freire, Paul B. Yu, Thomas A. Davis, Kazuki Kodo, Joseph Gold, Suruchi Mittal and Deepa Subramanyam. Their work appears in journals such as Journal of Orthopaedic Research®, Stem Cells and Development, Stem Cells, Oxidative Medicine and Cellular Longevity and Translational 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.