J M Trzaskos
- Molecular Biology top 10%
- Pharmacology top 2%
- Surgery top 10%
- Pharmacology top 1%
- Genetics top 10%
- Co-authors
- Robert T. FischerJ.L. GaylorM CovingtonMargaret FavataJason D. MorrowS K DeyRaymond N. DuBoisHyunjung Jade Lim
- Topics
- Steroid Chemistry and Biochemistry (10 papers)Pharmacogenetics and Drug Metabolism (9 papers)Cholesterol and Lipid Metabolism (9 papers)
- Cited by
- PharmacologyBiochemistry
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryGenes & Development
- Partner nations
- United StatesGermanyFrance
In The Last Decade
J M Trzaskos
26 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 916
- Pharmacology 517
- Surgery 371
- Pharmacology 300
- Genetics 274
Countries citing papers authored by J M Trzaskos
This map shows the geographic impact of J M Trzaskos'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 J M Trzaskos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J M Trzaskos more than expected).
Fields of papers citing papers by J M Trzaskos
This network shows the impact of papers produced by J M Trzaskos. 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 J M Trzaskos. The network helps show where J M Trzaskos may publish in the future.
Co-authorship network of co-authors of J M Trzaskos
This figure shows the co-authorship network connecting the top 25 collaborators of J M Trzaskos. A scholar is included among the top collaborators of J M Trzaskos 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 J M Trzaskos. J M Trzaskos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 24 | |
| 3 | 499 | |
| 4 | 40 | |
| 5 | 1 | |
| 6 | 103 | |
| 7 | 27 | |
| 8 | 338 | |
| 9 | 7 | |
| 10 | 39 | |
| 11 | 105 | |
| 12 | 35 | |
| 13 | 18 | |
| 14 | 41 | |
| 15 | 15 | |
| 16 | 73 | |
| 17 | 47 | |
| 18 | 89 | |
| 19 | [Effect of acenocoumarol and tobacco smoking on the remote results of corrective procedures in atherosclerotic arterial occlusion of the lower extremities]. | 1 |
| 20 | 90 |
About J M Trzaskos
J M Trzaskos is a scholar working on Pharmacology, Biochemistry and Molecular Biology, having authored 26 papers that have together received 1.8k indexed citations. Recurring topics across this work include Steroid Chemistry and Biochemistry (10 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Cholesterol and Lipid Metabolism (9 papers). The work is most often cited by research in Pharmacology (300 citations), Pharmacology (517 citations) and Biochemistry (208 citations). J M Trzaskos has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Robert T. Fischer, J.L. Gaylor, M Covington, Margaret Favata, Jason D. Morrow, S K Dey, Raymond N. DuBois, Hyunjung Jade Lim, Bibhash C. Paria and David E. Moller. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.
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.