Maya P. Lipert
Impact in
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- Crystallography and molecular interactions
- Pharmaceutical Science top 2%
- Drug Solubulity and Delivery Systems
Papers in
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- Drug Solubulity and Delivery Systems 3
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- Crystallography and molecular interactions 4
- Co-authors
- Naír Rodríguez‐HornedoL. P. RoyRanjit ThakuriaWilliam JonesAmit DeloriS.L. ChildsAnnette BakSunny P. Bhardwaj
- Journals
- Journal of Pharmaceutical Sciences (2 papers)Molecular Pharmaceutics (2 papers)AAPS PharmSciTech (1 paper)Journal of Medicinal Chemistry (1 paper)International Journal of Pharmaceutics (1 paper)
- Partner nations
- United StatesSingaporeGermany
In The Last Decade
Maya P. Lipert
9 papers receiving 677 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Physical and Theoretical Chemistry 460
- Pharmaceutical Science 163
- Materials Chemistry 554
- Spectroscopy 130
- Organic Chemistry 140
Countries citing papers authored by Maya P. Lipert
This map shows the geographic impact of Maya P. Lipert'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 Maya P. Lipert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya P. Lipert more than expected).
Fields of papers citing papers by Maya P. Lipert
This network shows the impact of papers produced by Maya P. Lipert. 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 Maya P. Lipert. The network helps show where Maya P. Lipert may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya P. Lipert, 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 | 2023 | 8 | |
| 2 | 2022 | 5 | |
| 3 | 2022 | 14 | |
| 4 | 2020 | 1 | |
| 5 | 2017 | 56 | |
| 6 | 2016 | 14 | |
| 7 | 2015 | 26 | |
| 8 | 2015 | 52 | |
| 9 | Pharmaceutical cocrystals and poorly soluble drugs Hit paper breakdown → | 2012 | 522 |
About Maya P. Lipert
Maya P. Lipert is a scholar working on Pharmaceutical Science, Physical and Theoretical Chemistry, Hepatology, Spectroscopy and Pharmacology, having authored 9 papers that have together received 698 indexed citations. Recurring topics across this work include Crystallization and Solubility Studies (4 papers), Crystallography and molecular interactions (4 papers), Drug Solubulity and Delivery Systems (3 papers), Chemical Thermodynamics and Molecular Structure (3 papers), Pharmaceutical studies and practices (2 papers), Muon and positron interactions and applications (1 paper), Advanced NMR Techniques and Applications (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Physical and Theoretical Chemistry (460 citations), Pharmaceutical Science (163 citations), Materials Chemistry (554 citations), Spectroscopy (130 citations) and Organic Chemistry (140 citations). Maya P. Lipert has collaborated with scholars based in United States, Singapore and Germany. Frequent co-authors include Naír Rodríguez‐Hornedo, L. P. Roy, Ranjit Thakuria, William Jones, Amit Delori, S.L. Childs, Annette Bak, Sunny P. Bhardwaj, Thach V. Can and Anthony Leone. Their work appears in journals such as Journal of Pharmaceutical Sciences, Molecular Pharmaceutics, AAPS PharmSciTech, Journal of Medicinal Chemistry and International Journal of Pharmaceutics.
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.