Meredith A. Skiba
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Pharmacology top 10%
- Radiology, Nuclear Medicine and Imaging
- Computational Theory and Mathematics top 10%
- Co-authors
- Andrew C. KruseLaura M. WinglerDean P. StausRobert J. LefkowitzRon O. DrorA.L.W. KleinhenzCarl‐Mikael SuomivuoriNaomi R. Latorraca
- Topics
- Receptor Mechanisms and Signaling (11 papers)Microbial Natural Products and Biosynthesis (9 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesSwitzerland
In The Last Decade
Meredith A. Skiba
23 papers receiving 709 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 561
- Cellular and Molecular Neuroscience 196
- Pharmacology 131
- Radiology, Nuclear Medicine and Imaging 106
- Computational Theory and Mathematics 69
Countries citing papers authored by Meredith A. Skiba
This map shows the geographic impact of Meredith A. Skiba'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 Meredith A. Skiba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meredith A. Skiba more than expected).
Fields of papers citing papers by Meredith A. Skiba
This network shows the impact of papers produced by Meredith A. Skiba. 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 Meredith A. Skiba. The network helps show where Meredith A. Skiba may publish in the future.
Co-authorship network of co-authors of Meredith A. Skiba
This figure shows the co-authorship network connecting the top 25 collaborators of Meredith A. Skiba. A scholar is included among the top collaborators of Meredith A. Skiba 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 Meredith A. Skiba. Meredith A. Skiba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 10 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 28 | |
| 7 | 3 | |
| 8 | 38 | |
| 9 | 167 | |
| 10 | 16 | |
| 11 | 17 | |
| 12 | 37 | |
| 13 | 163 | |
| 14 | 11 | |
| 15 | 8 | |
| 16 | 15 | |
| 17 | 18 | |
| 18 | 28 | |
| 19 | 17 | |
| 20 | 36 |
About Meredith A. Skiba
Meredith A. Skiba is a scholar working on Pharmacology, Biotechnology and Molecular Biology, having authored 23 papers that have together received 714 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Microbial Natural Products and Biosynthesis (9 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (196 citations), Molecular Biology (561 citations) and Pharmacology (131 citations). Meredith A. Skiba has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Andrew C. Kruse, Laura M. Wingler, Dean P. Staus, Robert J. Lefkowitz, Ron O. Dror, A.L.W. Kleinhenz, Carl‐Mikael Suomivuori, Naomi R. Latorraca, Conor McMahon and Janet L. Smith. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.