Mitchell F. Roitman
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 5%
- Cognitive Neuroscience top 1%
- Endocrine and Autonomic Systems top 0.5%
- Nutrition and Dietetics top 1%
- Co-authors
- Regina M. CarelliR. Mark WightmanRobert WheelerJames E. McCutcheonJackson J. ConeJeremy J. DayGarret D. StuberPaul E. M. Phillips
- Topics
- Neurotransmitter Receptor Influence on Behavior (41 papers)Neuroscience and Neuropharmacology Research (26 papers)Receptor Mechanisms and Signaling (26 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Mitchell F. Roitman
74 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cellular and Molecular Neuroscience 3.2k
- Molecular Biology 1.9k
- Cognitive Neuroscience 1.6k
- Endocrine and Autonomic Systems 1.2k
- Nutrition and Dietetics 823
Countries citing papers authored by Mitchell F. Roitman
This map shows the geographic impact of Mitchell F. Roitman'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 Mitchell F. Roitman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell F. Roitman more than expected).
Fields of papers citing papers by Mitchell F. Roitman
This network shows the impact of papers produced by Mitchell F. Roitman. 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 Mitchell F. Roitman. The network helps show where Mitchell F. Roitman may publish in the future.
Co-authorship network of co-authors of Mitchell F. Roitman
This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell F. Roitman. A scholar is included among the top collaborators of Mitchell F. Roitman 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 Mitchell F. Roitman. Mitchell F. Roitman 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 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 31 | |
| 8 | 16 | |
| 9 | 40 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 23 | |
| 13 | 67 | |
| 14 | 40 | |
| 15 | 116 | |
| 16 | 37 | |
| 17 | Associative learning mediates dynamic shifts in dopamine signaling in the nucleus accumbensbreakdown → | 512 |
| 18 | 15 | |
| 19 | 13 | |
| 20 | 42 |
About Mitchell F. Roitman
Mitchell F. Roitman is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Nutrition and Dietetics, having authored 77 papers that have together received 5.2k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (41 papers), Neuroscience and Neuropharmacology Research (26 papers) and Receptor Mechanisms and Signaling (26 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.2k citations), Cellular and Molecular Neuroscience (3.2k citations) and Cognitive Neuroscience (1.6k citations). Mitchell F. Roitman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Regina M. Carelli, R. Mark Wightman, Robert Wheeler, James E. McCutcheon, Jackson J. Cone, Jeremy J. Day, Garret D. Stuber, Paul E. M. Phillips, Samantha M. Fortin and Jamie D. Roitman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron 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.