Tyler N. Graf
- Molecular Biology top 5%
- Pharmacology top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Pharmacology top 0.2%
- Organic Chemistry top 5%
- Co-authors
- Nicholas H. OberliesMansukh C. WaniDavid J. KrollMonroe E. WallK.V. RajagopalanNadja B. CechStephen J. PolyakNam-Cheol Kim
- Topics
- Silymarin and Mushroom Poisoning (23 papers)Microbial Natural Products and Biosynthesis (16 papers)Berberine and alkaloids research (13 papers)
- Cited by
- PharmacologyBiochemistry
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesMexicoIndonesia
In The Last Decade
Tyler N. Graf
77 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.4k
- Pharmacology 987
- Pulmonary and Respiratory Medicine 920
- Pharmacology 901
- Organic Chemistry 369
Countries citing papers authored by Tyler N. Graf
This map shows the geographic impact of Tyler N. Graf'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 Tyler N. Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler N. Graf more than expected).
Fields of papers citing papers by Tyler N. Graf
This network shows the impact of papers produced by Tyler N. Graf. 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 Tyler N. Graf. The network helps show where Tyler N. Graf may publish in the future.
Co-authorship network of co-authors of Tyler N. Graf
This figure shows the co-authorship network connecting the top 25 collaborators of Tyler N. Graf. A scholar is included among the top collaborators of Tyler N. Graf 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 Tyler N. Graf. Tyler N. Graf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 26 | |
| 9 | 80 | |
| 10 | 9 | |
| 11 | 26 | |
| 12 | 8 | |
| 13 | 63 | |
| 14 | 15 | |
| 15 | 55 | |
| 16 | 33 | |
| 17 | 181 | |
| 18 | 34 | |
| 19 | 194 | |
| 20 | 67 |
About Tyler N. Graf
Tyler N. Graf is a scholar working on Pharmacology, Pharmacology and Toxicology, having authored 80 papers that have together received 3.3k indexed citations. Recurring topics across this work include Silymarin and Mushroom Poisoning (23 papers), Microbial Natural Products and Biosynthesis (16 papers) and Berberine and alkaloids research (13 papers). The work is most often cited by research in Pharmacology (901 citations), Pharmacology (987 citations) and Biochemistry (271 citations). Tyler N. Graf has collaborated with scholars based in United States, Mexico and Indonesia. Frequent co-authors include Nicholas H. Oberlies, Mansukh C. Wani, David J. Kroll, Monroe E. Wall, K.V. Rajagopalan, Nadja B. Cech, Stephen J. Polyak, Nam-Cheol Kim, Charles M. Sparacino and Huzefa A. Raja. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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.