Patricia M. Flatt
- Biotechnology top 0.5%
- Marine Sponges and Natural Products 4
- Pharmacology top 1%
- Microbial Natural Products and Biosynthesis 12
- Toxicology top 5%
- Organic Chemistry top 5%
- Carbohydrate Chemistry and Synthesis 2
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways 4
- Plant biochemistry and biosynthesis 4
- Genomics and Phylogenetic Studies 3
-
- Cancer-related Molecular Pathways 4
-
- Plant-Microbe Interactions and Immunity 2
- Co-authors
- William H. GerwickTaifo MahmudKerry L. McPhailEric H. AndrianasoloThomas L. SimmonsDavid H. ShermanJennifer A. PietenpolZunxue Chang
- Cited by
- BiotechnologyPharmacologyToxicology
- Journals
- Journal of the American Chemical Society (1 paper)Molecular and Cellular Biology (1 paper)Gene (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Patricia M. Flatt
19 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Biotechnology 623
- Pharmacology 783
- Toxicology 59
- Organic Chemistry 429
- Molecular Biology 907
Countries citing papers authored by Patricia M. Flatt
This map shows the geographic impact of Patricia M. Flatt'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 Patricia M. Flatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia M. Flatt more than expected).
Fields of papers citing papers by Patricia M. Flatt
This network shows the impact of papers produced by Patricia M. Flatt. 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 Patricia M. Flatt. The network helps show where Patricia M. Flatt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patricia M. Flatt, 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 | 2022 | 2 | |
| 2 | 2013 | 40 | |
| 3 | 2012 | 35 | |
| 4 | 2009 | 72 | |
| 5 | 2009 | 35 | |
| 6 | 2008 | 20 | |
| 7 | 2007 | 101 | |
| 8 | 2007 | 31 | |
| 9 | 2007 | 81 | |
| 10 | 2006 | 35 | |
| 11 | 2006 | 64 | |
| 12 | 2005 | 90 | |
| 13 | Marine natural products as anticancer drugsbreakdown → | 2005 | 453 |
| 14 | 2004 | 229 | |
| 15 | 2002 | 190 | |
| 16 | 2000 | 41 | |
| 17 | 2000 | 71 | |
| 18 | 2000 | 144 | |
| 19 | Differential cell cycle checkpoint response in normal human keratinocytes and fibroblasts. | 1998 | 45 |
About Patricia M. Flatt
Patricia M. Flatt is a scholar working on Pharmacology, Biotechnology and History and Philosophy of Science, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (12 papers), Marine Sponges and Natural Products (4 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (4 papers), Plant biochemistry and biosynthesis (4 papers), Genomics and Phylogenetic Studies (3 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Biotechnology (623 citations), Pharmacology (783 citations) and Toxicology (59 citations). Patricia M. Flatt has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include William H. Gerwick, Taifo Mahmud, Kerry L. McPhail, Eric H. Andrianasolo, Thomas L. Simmons, David H. Sherman, Jennifer A. Pietenpol, Zunxue Chang, Christine L. Willis and Caroline D. Scatena. Their work appears in journals such as Journal of the American Chemical Society, Molecular and Cellular Biology and Gene.
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.