Elizabeth Bolan
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 5%
- Physiology top 5%
- Surgery
- Anesthesiology and Pain Medicine top 5%
- Co-authors
- Gavril W. PasternakYing‐Xian PanGrace C. RossiJin XuAlbert ChangJohn E. PintarToni S. ShippenbergLiza Leventhal
- Topics
- Receptor Mechanisms and Signaling (17 papers)Neuropeptides and Animal Physiology (16 papers)Pain Mechanisms and Treatments (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesItalyNew Zealand
In The Last Decade
Elizabeth Bolan
21 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 80
- Cellular and Molecular Neuroscience 1.6k
- Molecular Biology 1.3k
- Physiology 592
- Surgery 89
- Anesthesiology and Pain Medicine 80
Countries citing papers authored by Elizabeth Bolan
This map shows the geographic impact of Elizabeth Bolan'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 Bolan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth Bolan more than expected).
Fields of papers citing papers by Elizabeth Bolan
This network shows the impact of papers produced by Elizabeth Bolan. 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 Bolan. The network helps show where Elizabeth Bolan may publish in the future.
Co-authorship network of co-authors of Elizabeth Bolan
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Bolan. A scholar is included among the top collaborators of Elizabeth Bolan 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 Bolan. Elizabeth Bolan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 74 | |
| 2 | 22 | |
| 3 | 163 | |
| 4 | 93 | |
| 5 | 126 | |
| 6 | 74 | |
| 7 | 79 | |
| 8 | 7 | |
| 9 | 59 | |
| 10 | 65 | |
| 11 | 152 | |
| 12 | 95 | |
| 13 | 35 | |
| 14 | 261 | |
| 15 | 176 | |
| 16 | 28 | |
| 17 | 19 | |
| 18 | 166 | |
| 19 | 23 | |
| 20 | 11 |
About Elizabeth Bolan
Elizabeth Bolan is a scholar working on Cellular and Molecular Neuroscience, Developmental Biology and Physiology, having authored 21 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (17 papers), Neuropeptides and Animal Physiology (16 papers) and Pain Mechanisms and Treatments (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Physiology (592 citations) and Molecular Biology (1.3k citations). Elizabeth Bolan has collaborated with scholars based in United States, Italy and New Zealand. Frequent co-authors include Gavril W. Pasternak, Ying‐Xian Pan, Grace C. Rossi, Jin Xu, Albert Chang, John E. Pintar, Toni S. Shippenberg, Liza Leventhal, Mingming Xu and Amy Zuckerman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.