Peter J. Facchini
Impact in
- Pharmacology top 0.05%
- Berberine and alkaloids research
- Alkaloids: synthesis and pharmacology
- Microbial Natural Products and Biosynthesis
- Molecular Biology top 1%
- Plant tissue culture and regeneration
- Plant biochemistry and biosynthesis
- Plant Gene Expression Analysis
Papers in
- Pharmacology 99
- Berberine and alkaloids research 95
- Alkaloids: synthesis and pharmacology 32
-
- Plant tissue culture and regeneration 68
- Plant Gene Expression Analysis 15
- Plant biochemistry and biosynthesis 13
- Co-authors
- Jillian M. HagelJörg ZieglerVincenzo De LucaDavid K. LiscombeNailish SamananiGuillaume A.W. BeaudoinScott C. FarrowSang Un Park
- Journals
- Journal of Biological Chemistry (14 papers)PLANT PHYSIOLOGY (12 papers)Phytochemistry (10 papers)The Plant Journal (10 papers)Planta (6 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Peter J. Facchini
149 papers receiving 8.5k citations
Peers
Comparison fields: 5 of 134
- Pharmacology 3.7k
- Pharmacology 1.8k
- Molecular Biology 5.6k
- Plant Science 2.7k
- Organic Chemistry 1.8k
Countries citing papers authored by Peter J. Facchini
This map shows the geographic impact of Peter J. Facchini'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 Peter J. Facchini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Facchini more than expected).
Fields of papers citing papers by Peter J. Facchini
This network shows the impact of papers produced by Peter J. Facchini. 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 Peter J. Facchini. The network helps show where Peter J. Facchini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter J. Facchini, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 18 | |
| 7 | 2021 | 14 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 47 | |
| 10 | 2020 | 56 | |
| 11 | 2019 | 69 | |
| 12 | 2019 | 55 | |
| 13 | 2018 | 76 | |
| 14 | 2018 | 35 | |
| 15 | 2018 | 49 | |
| 16 | 2015 | 54 | |
| 17 | 2014 | 68 | |
| 18 | 2013 | 30 | |
| 19 | 2013 | 74 | |
| 20 | 2003 | 131 |
About Peter J. Facchini
Peter J. Facchini is a scholar working on Pharmacology, Pharmacology, Molecular Biology, Organic Chemistry and Plant Science, having authored 150 papers that have together received 8.7k indexed citations. Recurring topics across this work include Berberine and alkaloids research (95 papers), Plant tissue culture and regeneration (68 papers), Chemical synthesis and alkaloids (39 papers), Alkaloids: synthesis and pharmacology (32 papers), Plant Gene Expression Analysis (15 papers), Plant Genetic and Mutation Studies (14 papers), Botanical Research and Chemistry (13 papers) and Plant biochemistry and biosynthesis (13 papers). The work is most often cited by research in Pharmacology (3.7k citations), Pharmacology (1.8k citations), Molecular Biology (5.6k citations), Plant Science (2.7k citations) and Organic Chemistry (1.8k citations). Peter J. Facchini has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Jillian M. Hagel, Jörg Ziegler, Vincenzo De Luca, David K. Liscombe, Nailish Samanani, Guillaume A.W. Beaudoin, Scott C. Farrow, Sang Un Park, David A. Bird and Thu‐Thuy T. Dang. Their work appears in journals such as Journal of Biological Chemistry, PLANT PHYSIOLOGY, Phytochemistry, The Plant Journal and Planta.
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.