Devaveena Dey

2.0k citations
25 papers · 1.6k · h-index 18

Impact in

Papers in

    • Pluripotent Stem Cells Research 3
    • RNA Interference and Gene Delivery 2
    • TGF-β signaling in diseases 2
    • Heterotopic Ossification and Related Conditions 9

Devaveena Dey

25 papers receiving 1.5k citations

Peers

Devaveena Dey
Comparison fields: 5 of 98
  • Rheumatology 364
  • Nephrology 102
  • Cancer Research 189
  • Genetics 121
  • Molecular Biology 827
Replace Eric Hesse with:
Eric Hesse Germany
Motomi Enomoto‐Iwamoto United States
Weiqi Lei United States
Nan Hatch United States
Jennifer L. Rosser United States
Agnes D. Berendsen United States
Satoru Otsuru United States
Ugur M. Ayturk United States
Kazuharu Irie Japan
Jane B. Lian United States
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Citations per field
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Citations per year

Countries citing papers authored by Devaveena Dey

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Devaveena Dey Line = papers co-authored together Devaveena Dey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014188
2 2016159
3 2014138
4 2009119
5 2018118
6 2017107
7 2019101
8 200990
9 201180
10 201379
11 201458
12 201157
13 201745
14 202144
15 202133
16 201331
17 202025
18 201725
19 201716
20 202012

About Devaveena Dey

Devaveena Dey is a scholar working on Molecular Biology, Rheumatology, Genetics, Surgery and Nephrology, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Heterotopic Ossification and Related Conditions (9 papers), Parathyroid Disorders and Treatments (4 papers), Pluripotent Stem Cells Research (3 papers), Genetic Syndromes and Imprinting (3 papers), RNA Interference and Gene Delivery (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), CAR-T cell therapy research (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Rheumatology (364 citations), Nephrology (102 citations), Cancer Research (189 citations), Genetics (121 citations) and Molecular Biology (827 citations). Devaveena Dey has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Joseph C. Wu, Annapoorni Rangarajan, Mei Huang, Verónica Sánchez-Freire, Paul B. Yu, Kazuki Kodo, Joseph Gold, Thomas A. Davis, Sang‐Ging Ong and Suruchi Mittal. Their work appears in journals such as Journal of Orthopaedic Research®, Stem Cells and Development, Cell stem cell, Molecular Cancer and Circulation.

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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