Frederick J. Monsma
- Cellular and Molecular Neuroscience top 0.05%
- Molecular Biology top 0.5%
- Physiology top 1%
- Reproductive Medicine top 0.5%
- Neurology top 1%
- Co-authors
- David R. SibleyLawrence C. MahanCharles R. GerfenOlivier CivelliRainer K. ReinscheidThomas M. EngberZvi SuselThomas N. Chase
- Topics
- Receptor Mechanisms and Signaling (54 papers)Neuropeptides and Animal Physiology (26 papers)Neurotransmitter Receptor Influence on Behavior (22 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Frederick J. Monsma
82 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cellular and Molecular Neuroscience 8.9k
- Molecular Biology 8.0k
- Physiology 1.7k
- Reproductive Medicine 1.2k
- Neurology 1.2k
Countries citing papers authored by Frederick J. Monsma
This map shows the geographic impact of Frederick J. Monsma'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 Frederick J. Monsma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederick J. Monsma more than expected).
Fields of papers citing papers by Frederick J. Monsma
This network shows the impact of papers produced by Frederick J. Monsma. 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 Frederick J. Monsma. The network helps show where Frederick J. Monsma may publish in the future.
Co-authorship network of co-authors of Frederick J. Monsma
This figure shows the co-authorship network connecting the top 25 collaborators of Frederick J. Monsma. A scholar is included among the top collaborators of Frederick J. Monsma 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 Frederick J. Monsma. Frederick J. Monsma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 34 | |
| 3 | 141 | |
| 4 | 85 | |
| 5 | 132 | |
| 6 | 178 | |
| 7 | 94 | |
| 8 | 35 | |
| 9 | 100 | |
| 10 | 5-HT 6 and 5-HT 7 Receptors: Molecular Biology, Functional Correlates and Possible Therapeutic Indications. | 12 |
| 11 | 170 | |
| 12 | 39 | |
| 13 | 48 | |
| 14 | 210 | |
| 15 | 19 | |
| 16 | 205 | |
| 17 | 46 | |
| 18 | 2 | |
| 19 | Multiple D2 dopamine receptors produced by alternative RNA splicingbreakdown → | 524 |
| 20 | 13 |
About Frederick J. Monsma
Frederick J. Monsma is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology, having authored 83 papers that have together received 13.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (54 papers), Neuropeptides and Animal Physiology (26 papers) and Neurotransmitter Receptor Influence on Behavior (22 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (8.9k citations), Physiology (741 citations) and Reproductive Medicine (1.2k citations). Frederick J. Monsma has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include David R. Sibley, Lawrence C. Mahan, Charles R. Gerfen, Olivier Civelli, Rainer K. Reinscheid, Thomas M. Engber, Zvi Susel, Thomas N. Chase, Yong Shen and Ali Ardati. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.