Monisha Dey
Impact in
- Pharmaceutical Science top 10%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
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- Inhalation and Respiratory Drug Delivery
Papers in
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- Optimal Experimental Design Methods 3
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- Pesticide Residue Analysis and Safety 3
- Co-authors
- David Christopher (5 shared papers)Svetlana Lyapustina (6 shared papers)Jolyon P. Mitchell (2 shared papers)Terrence P. Tougas (2 shared papers)Andrew Cooper (1 shared paper)Andrea Casazza (1 shared paper)Trevor Riley (1 shared paper)Michael A. Golden (3 shared papers)
- Journals
- AAPS PharmSciTech (5 papers)Journal of Pharmaceutical and Biomedical Analysis (1 paper)Pharmaceutical Research (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Monisha Dey
7 papers receiving 119 citations
Peers
Comparison fields: 5 of 47
- Pharmaceutical Science 49
- Pulmonary and Respiratory Medicine 70
- Statistics and Probability 17
- Statistics, Probability and Uncertainty 12
- Food Science 29
Countries citing papers authored by Monisha Dey
This map shows the geographic impact of Monisha 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 Monisha Dey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monisha Dey more than expected).
Fields of papers citing papers by Monisha Dey
This network shows the impact of papers produced by Monisha 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 Monisha Dey. The network helps show where Monisha Dey may publish in the future.
Co-authors
The 25 scholars most cited alongside Monisha 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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 82 | |
| 2 | 2009 | 18 | |
| 3 | 2023 | 7 | |
| 4 | 2009 | 5 | |
| 5 | 2009 | 5 | |
| 6 | 2020 | 4 | |
| 7 | 2018 | 4 | |
| 8 | 2013 | 0 |
About Monisha Dey
Monisha Dey is a scholar working on Management Science and Operations Research, Food Science, Molecular Biology, Pulmonary and Respiratory Medicine and Analytical Chemistry, having authored 8 papers that have together received 125 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (3 papers), Pesticide Residue Analysis and Safety (3 papers), Inhalation and Respiratory Drug Delivery (2 papers), Statistical Methods in Clinical Trials (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Protein purification and stability (1 paper), Analytical Methods in Pharmaceuticals (1 paper) and Drug Solubulity and Delivery Systems (1 paper). The work is most often cited by research in Pharmaceutical Science (49 citations), Pulmonary and Respiratory Medicine (70 citations), Statistics and Probability (17 citations), Statistics, Probability and Uncertainty (12 citations) and Food Science (29 citations). Monisha Dey has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include David Christopher, Svetlana Lyapustina, Jolyon P. Mitchell, Terrence P. Tougas, Andrew Cooper, Andrea Casazza, Trevor Riley, Michael A. Golden, Steven Novick and Shengjie Bian. Their work appears in journals such as AAPS PharmSciTech, Journal of Pharmaceutical and Biomedical Analysis and Pharmaceutical 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.