Robert R. Luedtke
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 0.5%
- Neurology top 5%
- Computational Theory and Mathematics top 2%
- Organic Chemistry top 10%
- Co-authors
- Robert H. MachMichelle TaylorAmy Hauck NewmanPeter GrundtSuzy A. GriffinJinbin XuPerry B. MolinoffJianjing Cao
- Topics
- Receptor Mechanisms and Signaling (71 papers)Neurotransmitter Receptor Influence on Behavior (55 papers)Pharmacological Receptor Mechanisms and Effects (28 papers)
- Partner nations
- United StatesFranceSweden
In The Last Decade
Robert R. Luedtke
95 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 2.1k
- Cellular and Molecular Neuroscience 1.9k
- Neurology 260
- Computational Theory and Mathematics 244
- Organic Chemistry 231
Countries citing papers authored by Robert R. Luedtke
This map shows the geographic impact of Robert R. Luedtke'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 Robert R. Luedtke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert R. Luedtke more than expected).
Fields of papers citing papers by Robert R. Luedtke
This network shows the impact of papers produced by Robert R. Luedtke. 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 Robert R. Luedtke. The network helps show where Robert R. Luedtke may publish in the future.
Co-authorship network of co-authors of Robert R. Luedtke
This figure shows the co-authorship network connecting the top 25 collaborators of Robert R. Luedtke. A scholar is included among the top collaborators of Robert R. Luedtke 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 Robert R. Luedtke. Robert R. Luedtke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 8 | |
| 3 | 15 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 43 | |
| 10 | 35 | |
| 11 | 21 | |
| 12 | 38 | |
| 13 | 26 | |
| 14 | 35 | |
| 15 | 93 | |
| 16 | 8 | |
| 17 | 25 | |
| 18 | 13 | |
| 19 | 48 | |
| 20 | Synthesis, in vitro dopamine D2 and D3 receptor binding and quantitative structure-activity studies on substituted 2,3-dimethoxy-N-(1- benzyl-4-piperidinyl)benzamides and related compounds | 4 |
About Robert R. Luedtke
Robert R. Luedtke is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Computational Theory and Mathematics, having authored 99 papers that have together received 2.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (71 papers), Neurotransmitter Receptor Influence on Behavior (55 papers) and Pharmacological Receptor Mechanisms and Effects (28 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Molecular Biology (2.1k citations) and Neurology (260 citations). Robert R. Luedtke has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Robert H. Mach, Michelle Taylor, Amy Hauck Newman, Peter Grundt, Suzy A. Griffin, Jinbin Xu, Perry B. Molinoff, Jianjing Cao, Suwanna Vangveravong and Zhude Tu. Their work appears in journals such as Journal of Biological Chemistry, Neuron and PLoS ONE.
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.