Paulette A. Greenidge
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- Computational Drug Discovery Methods 8
- Biotechnology top 10%
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- DNA and Nucleic Acid Chemistry 5
- Chemical Synthesis and Analysis 4
- Receptor Mechanisms and Signaling 4
- Protein Structure and Dynamics 3
- Metabolomics and Mass Spectrometry Studies 2
- Pharmacology top 10%
- Toxicology top 10%
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- Machine Learning in Materials Science 3
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- Estrogen and related hormone effects 3
- Co-authors
- Christian KrämerRomain M. WolfAnthony LindenCindy K. AngerhoferRuth Desqueyroux-FaúndezAnthony D. WrightGabriele M. KönigAngelo Vedani
- Journals
- Journal of Chemical Information and Modeling (4 papers)Journal of Computer-Aided Molecular Design (3 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- SwitzerlandUnited KingdomSweden
In The Last Decade
Paulette A. Greenidge
19 papers receiving 818 citations
Peers
Comparison fields: 5 of 94
- Computational Theory and Mathematics 318
- Biotechnology 89
- Molecular Biology 485
- Pharmacology 117
- Toxicology 22
Countries citing papers authored by Paulette A. Greenidge
This map shows the geographic impact of Paulette A. Greenidge'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 Paulette A. Greenidge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paulette A. Greenidge more than expected).
Fields of papers citing papers by Paulette A. Greenidge
This network shows the impact of papers produced by Paulette A. Greenidge. 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 Paulette A. Greenidge. The network helps show where Paulette A. Greenidge may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paulette A. Greenidge, 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 | 2019 | 3 | |
| 2 | 2016 | 11 | |
| 3 | 2014 | 70 | |
| 4 | 2013 | 31 | |
| 5 | 2012 | 242 | |
| 6 | 2007 | 97 | |
| 7 | 2006 | 16 | |
| 8 | 2003 | 17 | |
| 9 | 2001 | 14 | |
| 10 | 2000 | 30 | |
| 11 | 1999 | 20 | |
| 12 | 1998 | 50 | |
| 13 | 1997 | 20 | |
| 14 | 1996 | 135 | |
| 15 | 1995 | 2 | |
| 16 | 1995 | 74 | |
| 17 | 1994 | 2 | |
| 18 | 1993 | 6 | |
| 19 | 1993 | 15 |
About Paulette A. Greenidge
Paulette A. Greenidge is a scholar working on Computational Theory and Mathematics, Molecular Biology and Biotechnology, having authored 19 papers that have together received 855 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), DNA and Nucleic Acid Chemistry (5 papers), Chemical Synthesis and Analysis (4 papers), Receptor Mechanisms and Signaling (4 papers), Protein Structure and Dynamics (3 papers), Machine Learning in Materials Science (3 papers), Estrogen and related hormone effects (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (318 citations), Biotechnology (89 citations) and Molecular Biology (485 citations). Paulette A. Greenidge has collaborated with scholars based in Switzerland, United Kingdom and Sweden. Frequent co-authors include Christian Krämer, Romain M. Wolf, Anthony Linden, Cindy K. Angerhofer, Ruth Desqueyroux-Faúndez, Anthony D. Wright, Gabriele M. König, Angelo Vedani, James P. Snyder and Peter Zbinden. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Computer-Aided Molecular Design, Journal of Biological Chemistry, Journal of Medicinal Chemistry and Mini-Reviews in Medicinal Chemistry.
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.