Talia N. Lerner
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 2%
- Molecular Biology
- Social Psychology top 5%
- Neurology top 5%
- Co-authors
- Karl DeisserothThomas J. DavidsonAnatol C. KreitzerKelly A. ZalocuskyYe LiKevin T. BeierRobert C. MalenkaLiqun Luo
- Topics
- Neurotransmitter Receptor Influence on Behavior (14 papers)Neural dynamics and brain function (7 papers)Receptor Mechanisms and Signaling (7 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Talia N. Lerner
26 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Cellular and Molecular Neuroscience 1.5k
- Cognitive Neuroscience 1.1k
- Molecular Biology 618
- Social Psychology 261
- Neurology 224
Countries citing papers authored by Talia N. Lerner
This map shows the geographic impact of Talia N. Lerner'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 Talia N. Lerner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Talia N. Lerner more than expected).
Fields of papers citing papers by Talia N. Lerner
This network shows the impact of papers produced by Talia N. Lerner. 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 Talia N. Lerner. The network helps show where Talia N. Lerner may publish in the future.
Co-authorship network of co-authors of Talia N. Lerner
This figure shows the co-authorship network connecting the top 25 collaborators of Talia N. Lerner. A scholar is included among the top collaborators of Talia N. Lerner 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 Talia N. Lerner. Talia N. Lerner 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 | 3 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 17 | |
| 8 | 21 | |
| 9 | 58 | |
| 10 | 48 | |
| 11 | 77 | |
| 12 | 158 | |
| 13 | 315 | |
| 14 | 154 | |
| 15 | 120 | |
| 16 | Intact-Brain Analyses Reveal Distinct Information Carried by SNc Dopamine Subcircuitsbreakdown → | 524 |
| 17 | 358 | |
| 18 | 146 | |
| 19 | 56 | |
| 20 | 62 |
About Talia N. Lerner
Talia N. Lerner is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Cognitive Neuroscience, having authored 28 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (14 papers), Neural dynamics and brain function (7 papers) and Receptor Mechanisms and Signaling (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Cognitive Neuroscience (1.1k citations) and Behavioral Neuroscience (195 citations). Talia N. Lerner has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Karl Deisseroth, Thomas J. Davidson, Anatol C. Kreitzer, Kelly A. Zalocusky, Ye Li, Kevin T. Beier, Robert C. Malenka, Liqun Luo, Charu Ramakrishnan and Joshua H. Jennings. Their work appears in journals such as Nature, Science and Cell.
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.