Cullen L. Schmid
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 5%
- Physiology top 10%
- Pharmacology top 5%
- Clinical Psychology top 10%
- Co-authors
- Laura BohnKirsten M. RaehalChad E. GroerMichael D. CameronNicole KennedyThomas D. BannisterKimberly M. LovellJenny Morgenweck
- Topics
- Receptor Mechanisms and Signaling (19 papers)Neuropeptides and Animal Physiology (18 papers)Neurotransmitter Receptor Influence on Behavior (7 papers)
- Journals
- CellProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesItaly
In The Last Decade
Cullen L. Schmid
29 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Cellular and Molecular Neuroscience 1.5k
- Molecular Biology 1.4k
- Physiology 312
- Pharmacology 204
- Clinical Psychology 167
Countries citing papers authored by Cullen L. Schmid
This map shows the geographic impact of Cullen L. Schmid'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 Cullen L. Schmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cullen L. Schmid more than expected).
Fields of papers citing papers by Cullen L. Schmid
This network shows the impact of papers produced by Cullen L. Schmid. 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 Cullen L. Schmid. The network helps show where Cullen L. Schmid may publish in the future.
Co-authorship network of co-authors of Cullen L. Schmid
This figure shows the co-authorship network connecting the top 25 collaborators of Cullen L. Schmid. A scholar is included among the top collaborators of Cullen L. Schmid 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 Cullen L. Schmid. Cullen L. Schmid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 20 | |
| 4 | 59 | |
| 5 | 10 | |
| 6 | 31 | |
| 7 | Bias Factor and Therapeutic Window Correlate to Predict Safer Opioid Analgesicsbreakdown → | 372 |
| 8 | 36 | |
| 9 | 177 | |
| 10 | 51 | |
| 11 | 75 | |
| 12 | 122 | |
| 13 | 91 | |
| 14 | 209 | |
| 15 | 108 | |
| 16 | 136 | |
| 17 | 35 | |
| 18 | 38 | |
| 19 | 33 | |
| 20 | 77 |
About Cullen L. Schmid
Cullen L. Schmid is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Behavioral Neuroscience, having authored 29 papers that have together received 2.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (19 papers), Neuropeptides and Animal Physiology (18 papers) and Neurotransmitter Receptor Influence on Behavior (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Molecular Biology (1.4k citations) and Biological Psychiatry (50 citations). Cullen L. Schmid has collaborated with scholars based in United States and Italy. Frequent co-authors include Laura Bohn, Kirsten M. Raehal, Chad E. Groer, Michael D. Cameron, Nicole Kennedy, Thomas D. Bannister, Kimberly M. Lovell, Jenny Morgenweck, Zhizhou Yue and Nicolette C. Ross. Their work appears in journals such as Cell, 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.