Devi Majumdar
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 4
- Neuroscience and Neural Engineering 3
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- Cellular Mechanics and Interactions 6
- Hippo pathway signaling and YAP/TAZ 2
- Co-authors
- Donna J. Webb (11 shared papers)Yandong Gao (4 shared papers)Deyu Li (4 shared papers)Lan Hu (3 shared papers)Caroline A. Nebhan (2 shared papers)Adam M. Wegner (1 shared paper)Alissa M. Weaver (1 shared paper)Huaye Zhang (1 shared paper)
- Journals
- Journal of Cell Science (2 papers)Journal of Biological Chemistry (2 papers)Cell Adhesion & Migration (1 paper)Biomedical Microdevices (1 paper)Brain Research (1 paper)
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
Devi Majumdar
12 papers receiving 722 citations
Peers
Comparison fields: 5 of 83
- Cellular and Molecular Neuroscience 302
- Developmental Neuroscience 63
- Cell Biology 194
- Immunology and Allergy 53
- Biophysics 35
Countries citing papers authored by Devi Majumdar
This map shows the geographic impact of Devi Majumdar'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 Devi Majumdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devi Majumdar more than expected).
Fields of papers citing papers by Devi Majumdar
This network shows the impact of papers produced by Devi Majumdar. 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 Devi Majumdar. The network helps show where Devi Majumdar may publish in the future.
Co-authors
The 25 scholars most cited alongside Devi Majumdar, 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 | 2008 | 188 | |
| 2 | 2010 | 109 | |
| 3 | 2013 | 103 | |
| 4 | 2011 | 90 | |
| 5 | 2007 | 73 | |
| 6 | 2009 | 48 | |
| 7 | 2011 | 45 | |
| 8 | 2012 | 28 | |
| 9 | 2013 | 17 | |
| 10 | 2012 | 17 | |
| 11 | 2014 | 7 | |
| 12 | 2006 | 4 |
About Devi Majumdar
Devi Majumdar is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Biomedical Engineering, Molecular Biology and Cognitive Neuroscience, having authored 12 papers that have together received 729 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (6 papers), Neuroscience and Neuropharmacology Research (4 papers), 3D Printing in Biomedical Research (4 papers), Neuroscience and Neural Engineering (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Cell Adhesion Molecules Research (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (302 citations), Developmental Neuroscience (63 citations), Cell Biology (194 citations), Immunology and Allergy (53 citations) and Biophysics (35 citations). Devi Majumdar has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Donna J. Webb, Yandong Gao, Deyu Li, Lan Hu, Caroline A. Nebhan, Adam M. Wegner, Alissa M. Weaver, Huaye Zhang, Alan F. Horwitz and Mingjian Shi. Their work appears in journals such as Journal of Cell Science, Journal of Biological Chemistry, Cell Adhesion & Migration, Biomedical Microdevices and Brain 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.