Malini Dasgupta
Impact in
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- Cell Adhesion Molecules Research
Papers in
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- Metabolomics and Mass Spectrometry Studies 2
- Ubiquitin and proteasome pathways 1
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- Pharmacogenetics and Drug Metabolism 4
- Co-authors
- Gary W. Caldwell (3 shared papers)Zhengyin Yan (3 shared papers)Carl Crysler (4 shared papers)Bruce E. Tomczuk (5 shared papers)Weimin Tang (2 shared papers)Stephen Eisennagel (4 shared papers)Marcie A. Glicksman (2 shared papers)Tianbao Lu (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (3 papers)Rapid Communications in Mass Spectrometry (2 papers)Journal of Neurochemistry (1 paper)Journal of Medicinal Chemistry (1 paper)Plasma Processes and Polymers (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Malini Dasgupta
13 papers receiving 309 citations
Peers
Comparison fields: 5 of 71
- Immunology and Allergy 25
- Developmental Neuroscience 16
- Pharmaceutical Science 25
- Endocrinology, Diabetes and Metabolism 43
- Organic Chemistry 78
Countries citing papers authored by Malini Dasgupta
This map shows the geographic impact of Malini Dasgupta'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 Malini Dasgupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malini Dasgupta more than expected).
Fields of papers citing papers by Malini Dasgupta
This network shows the impact of papers produced by Malini Dasgupta. 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 Malini Dasgupta. The network helps show where Malini Dasgupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Malini Dasgupta, 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 | 2005 | 61 | |
| 2 | 2009 | 51 | |
| 3 | 1993 | 41 | |
| 4 | 2005 | 34 | |
| 5 | 2008 | 32 | |
| 6 | 1993 | 28 | |
| 7 | 2003 | 24 | |
| 8 | 2008 | 24 | |
| 9 | 2020 | 12 | |
| 10 | Using in vitro human tissues to predict pharmacokinetic properties. | 2004 | 5 |
| 11 | 2010 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2008 | 1 |
About Malini Dasgupta
Malini Dasgupta is a scholar working on Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 321 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Plasma Applications and Diagnostics (2 papers), Analytical Chemistry and Chromatography (2 papers), Click Chemistry and Applications (1 paper), Ubiquitin and proteasome pathways (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Electrohydrodynamics and Fluid Dynamics (1 paper). The work is most often cited by research in Immunology and Allergy (25 citations), Developmental Neuroscience (16 citations), Pharmaceutical Science (25 citations), Endocrinology, Diabetes and Metabolism (43 citations) and Organic Chemistry (78 citations). Malini Dasgupta has collaborated with scholars based in United States and Germany. Frequent co-authors include Gary W. Caldwell, Zhengyin Yan, Carl Crysler, Bruce E. Tomczuk, Weimin Tang, Stephen Eisennagel, Marcie A. Glicksman, Tianbao Lu, Nicola T. Neff and Norman Huebert. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Rapid Communications in Mass Spectrometry, Journal of Neurochemistry, Journal of Medicinal Chemistry and Plasma Processes and Polymers.
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.