Devaveena Dey
Impact in
- Rheumatology top 2%
- Heterotopic Ossification and Related Conditions
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Heterotopic Ossification and Related Conditions 9
- Genetics 4
- Mesenchymal stem cell research 4
- Co-authors
- Joseph C. Wu (8 shared papers)Thomas A. Davis (11 shared papers)Annapoorni Rangarajan (3 shared papers)Mei Huang (3 shared papers)Verónica Sánchez-Freire (4 shared papers)Paul B. Yu (5 shared papers)Patricia E. de Almeida (4 shared papers)Kazuki Kodo (3 shared papers)
- Journals
- Journal of Orthopaedic Research® (3 papers)Stem Cells and Development (2 papers)Circulation (2 papers)The Journal Of Hand Surgery (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Devaveena Dey
26 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 83
- Rheumatology 365
- Genetics 125
- Molecular Biology 651
- Oncology 153
- Cancer Research 84
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 191 | |
| 2 | 2016 | 167 | |
| 3 | 2014 | 143 | |
| 4 | 2018 | 133 | |
| 5 | 2009 | 123 | |
| 6 | 2017 | 112 | |
| 7 | 2019 | 103 | |
| 8 | 2009 | 90 | |
| 9 | 2011 | 81 | |
| 10 | 2013 | 81 | |
| 11 | 2011 | 58 | |
| 12 | 2014 | 58 | |
| 13 | 2021 | 54 | |
| 14 | 2017 | 46 | |
| 15 | 2021 | 33 | |
| 16 | 2013 | 31 | |
| 17 | 2017 | 28 | |
| 18 | 2020 | 26 | |
| 19 | 2017 | 18 | |
| 20 | 2020 | 14 |
About Devaveena Dey
Devaveena Dey is a scholar working on Rheumatology, Genetics, Molecular Biology, Transplantation and Oncology, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Heterotopic Ossification and Related Conditions (9 papers), Pluripotent Stem Cells Research (4 papers), Mesenchymal stem cell research (4 papers), Congenital heart defects research (3 papers), Cancer Cells and Metastasis (2 papers), Extracellular vesicles in disease (2 papers), RNA Interference and Gene Delivery (1 paper) and Bone health and osteoporosis research (1 paper). The work is most often cited by research in Rheumatology (365 citations), Genetics (125 citations), Molecular Biology (651 citations), Oncology (153 citations) and Cancer Research (84 citations). Devaveena Dey has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Joseph C. Wu, Thomas A. Davis, Annapoorni Rangarajan, Mei Huang, Verónica Sánchez-Freire, Paul B. Yu, Patricia E. de Almeida, Kazuki Kodo, Rekha V. Kumar and Suruchi Mittal. Their work appears in journals such as Journal of Orthopaedic Research®, Stem Cells and Development, Circulation, The Journal Of Hand Surgery and Science Translational Medicine.
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.