Abby L. Parrill
- Molecular Biology top 2%
- Cell Biology top 2%
- Cellular and Molecular Neuroscience top 5%
- Organic Chemistry top 5%
- Physiology top 10%
- Co-authors
- Gábor TigyiDaniel L. BakerDebra L. BautistaJames I. FellsRyoko TsukaharaDaniel A. OsborneL. Darryl QuarlesMin Pi
- Topics
- Sphingolipid Metabolism and Signaling (53 papers)Receptor Mechanisms and Signaling (40 papers)Lipid Membrane Structure and Behavior (27 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesJapanHungary
In The Last Decade
Abby L. Parrill
110 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 133
- Molecular Biology 3.1k
- Cell Biology 676
- Cellular and Molecular Neuroscience 390
- Organic Chemistry 371
- Physiology 271
Countries citing papers authored by Abby L. Parrill
This map shows the geographic impact of Abby L. Parrill'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 Abby L. Parrill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abby L. Parrill more than expected).
Fields of papers citing papers by Abby L. Parrill
This network shows the impact of papers produced by Abby L. Parrill. 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 Abby L. Parrill. The network helps show where Abby L. Parrill may publish in the future.
Co-authorship network of co-authors of Abby L. Parrill
This figure shows the co-authorship network connecting the top 25 collaborators of Abby L. Parrill. A scholar is included among the top collaborators of Abby L. Parrill 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 Abby L. Parrill. Abby L. Parrill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 37 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 68 | |
| 6 | 16 | |
| 7 | 58 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 51 | |
| 11 | 101 | |
| 12 | 132 | |
| 13 | 23 | |
| 14 | 20 | |
| 15 | 27 | |
| 16 | 77 | |
| 17 | 21 | |
| 18 | 16 | |
| 19 | 71 | |
| 20 | Evaluation of interactive technologies for chemistry websites: educational materials for organic chemistry web site (EMOC) | 7 |
About Abby L. Parrill
Abby L. Parrill is a scholar working on Molecular Biology, Physiology and Cell Biology, having authored 110 papers that have together received 3.7k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (53 papers), Receptor Mechanisms and Signaling (40 papers) and Lipid Membrane Structure and Behavior (27 papers). The work is most often cited by research in Molecular Biology (3.1k citations), Physiology (190 citations) and Cell Biology (676 citations). Abby L. Parrill has collaborated with scholars based in United States, Japan and Hungary. Frequent co-authors include Gábor Tigyi, Daniel L. Baker, Gábor Tigyi, Debra L. Bautista, James I. Fells, Ryoko Tsukahara, Daniel A. Osborne, L. Darryl Quarles, Min Pi and Yuko Fujiwara. 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.