Patricia C. Schmid
- Pharmacology top 0.05%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Surgery top 5%
- Pathology and Forensic Medicine top 1%
- Co-authors
- Harald H.O. SchmidViswanathan NatarajanRandy J. KrebsbachDouglas R. PfeifferSudhansu K. DeyEvgueni V. BerdyshevP. Vanitha ReddyZigang Dong
- Topics
- Cannabis and Cannabinoid Research (37 papers)Peroxisome Proliferator-Activated Receptors (14 papers)Lipid metabolism and biosynthesis (14 papers)
- Cited by
- PharmacologyToxicologyBiochemistry
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Patricia C. Schmid
77 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 124
- Pharmacology 3.5k
- Molecular Biology 1.7k
- Cellular and Molecular Neuroscience 1.2k
- Surgery 826
- Pathology and Forensic Medicine 802
Countries citing papers authored by Patricia C. Schmid
This map shows the geographic impact of Patricia C. Schmid'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 C. Schmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia C. Schmid more than expected).
Fields of papers citing papers by Patricia C. Schmid
This network shows the impact of papers produced by Patricia C. Schmid. 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 C. Schmid. The network helps show where Patricia C. Schmid may publish in the future.
Co-authorship network of co-authors of Patricia C. Schmid
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia C. Schmid. A scholar is included among the top collaborators of Patricia C. Schmid based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patricia C. Schmid. Patricia C. Schmid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 82 | |
| 2 | 37 | |
| 3 | 70 | |
| 4 | Protein Phosphatase–1 Promotes Survival of Lens Epithelial Cells through Dephosphorylation of the Tumor Suppressor, p53. | 2 |
| 5 | 139 | |
| 6 | 25 | |
| 7 | 105 | |
| 8 | 33 | |
| 9 | 57 | |
| 10 | 187 | |
| 11 | 4 | |
| 12 | 35 | |
| 13 | 11 | |
| 14 | 104 | |
| 15 | 138 | |
| 16 | 202 | |
| 17 | 19 | |
| 18 | 50 | |
| 19 | 20 | |
| 20 | 165 |
About Patricia C. Schmid
Patricia C. Schmid is a scholar working on Pharmacology, Biochemistry and Clinical Biochemistry, having authored 78 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (37 papers), Peroxisome Proliferator-Activated Receptors (14 papers) and Lipid metabolism and biosynthesis (14 papers). The work is most often cited by research in Pharmacology (3.5k citations), Toxicology (511 citations) and Biochemistry (501 citations). Patricia C. Schmid has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Harald H.O. Schmid, Viswanathan Natarajan, Randy J. Krebsbach, Douglas R. Pfeiffer, Sudhansu K. Dey, Evgueni V. Berdyshev, P. Vanitha Reddy, Zigang Dong, Padala V. Reddy and Bibhash C. Paria. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.