Elizabeth Gizewski
- Physiology top 0.5%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Organic Chemistry
- Physiology
- Co-authors
- John A. AuchampachTina C. WanKenneth A. JacobsonDilip K. ToshZhan‐Guo GaoLaura M. KrecklerDaniela SalveminiSilvia Paoletta
- Topics
- Adenosine and Purinergic Signaling (19 papers)Receptor Mechanisms and Signaling (10 papers)Pharmacological Receptor Mechanisms and Effects (10 papers)
- Journals
- Journal of Medicinal ChemistryJournal of Pharmacology and Experimental TherapeuticsBiochemical Pharmacology
- Partner nations
- United StatesBelarusBelgium
In The Last Decade
Elizabeth Gizewski
20 papers receiving 556 citations
Peers
Comparison fields: 5 of 72
- Physiology 426
- Molecular Biology 348
- Cellular and Molecular Neuroscience 123
- Organic Chemistry 59
- Physiology 44
Countries citing papers authored by Elizabeth Gizewski
This map shows the geographic impact of Elizabeth Gizewski'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 Elizabeth Gizewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth Gizewski more than expected).
Fields of papers citing papers by Elizabeth Gizewski
This network shows the impact of papers produced by Elizabeth Gizewski. 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 Elizabeth Gizewski. The network helps show where Elizabeth Gizewski may publish in the future.
Co-authorship network of co-authors of Elizabeth Gizewski
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Gizewski. A scholar is included among the top collaborators of Elizabeth Gizewski 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 Elizabeth Gizewski. Elizabeth Gizewski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 16 | |
| 3 | 15 | |
| 4 | 14 | |
| 5 | 56 | |
| 6 | 10 | |
| 7 | 19 | |
| 8 | 16 | |
| 9 | 48 | |
| 10 | 15 | |
| 11 | 31 | |
| 12 | 39 | |
| 13 | 74 | |
| 14 | 20 | |
| 15 | 44 | |
| 16 | 9 | |
| 17 | 21 | |
| 18 | 32 | |
| 19 | 38 | |
| 20 | 39 |
About Elizabeth Gizewski
Elizabeth Gizewski is a scholar working on Physiology, Neurology and Molecular Biology, having authored 20 papers that have together received 567 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (19 papers), Receptor Mechanisms and Signaling (10 papers) and Pharmacological Receptor Mechanisms and Effects (10 papers). The work is most often cited by research in Physiology (426 citations), Cellular and Molecular Neuroscience (123 citations) and Endocrine and Autonomic Systems (37 citations). Elizabeth Gizewski has collaborated with scholars based in United States, Belarus and Belgium. Frequent co-authors include John A. Auchampach, Tina C. Wan, Kenneth A. Jacobson, Dilip K. Tosh, Zhan‐Guo Gao, Laura M. Kreckler, Daniela Salvemini, Silvia Paoletta, Dharini van der Hoeven and Steven M. Moss. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Biochemical Pharmacology.
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.