Scott J. Lusher
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Genetics
- Pulmonary and Respiratory Medicine
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Jacob de VliegRoss McGuireRené C. van SchaikDennis J. van de WijngaartJan TrapmanMichel MolierGuido JensterHendrikus J. Dubbink
- Topics
- Estrogen and related hormone effects (5 papers)Hormonal and reproductive studies (3 papers)Computational Drug Discovery Methods (3 papers)
- Cited by
- Computational Theory and MathematicsInformation Systems and ManagementEndocrinology, Diabetes and Metabolism
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Scott J. Lusher
10 papers receiving 282 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 134
- Computational Theory and Mathematics 97
- Genetics 58
- Pulmonary and Respiratory Medicine 45
- Endocrinology, Diabetes and Metabolism 39
Countries citing papers authored by Scott J. Lusher
This map shows the geographic impact of Scott J. Lusher'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 Scott J. Lusher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott J. Lusher more than expected).
Fields of papers citing papers by Scott J. Lusher
This network shows the impact of papers produced by Scott J. Lusher. 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 Scott J. Lusher. The network helps show where Scott J. Lusher may publish in the future.
Co-authorship network of co-authors of Scott J. Lusher
This figure shows the co-authorship network connecting the top 25 collaborators of Scott J. Lusher. A scholar is included among the top collaborators of Scott J. Lusher 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 Scott J. Lusher. Scott J. Lusher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 20 | |
| 3 | 8 | |
| 4 | 97 | |
| 5 | 29 | |
| 6 | 16 | |
| 7 | 31 | |
| 8 | 51 | |
| 9 | 16 | |
| 10 | Non-steroidal steroid receptor modulators. | 5 |
About Scott J. Lusher
Scott J. Lusher is a scholar working on Toxicology, Computational Theory and Mathematics and Spectroscopy, having authored 10 papers that have together received 293 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Hormonal and reproductive studies (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Computational Theory and Mathematics (97 citations), Information Systems and Management (28 citations) and Endocrinology, Diabetes and Metabolism (39 citations). Scott J. Lusher has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Jacob de Vlieg, Ross McGuire, René C. van Schaik, Dennis J. van de Wijngaart, Jan Trapman, Michel Molier, Guido Jenster, Hendrikus J. Dubbink, Remko Hersmus and Koen J. Dechering. Their work appears in journals such as Journal of Biological Chemistry, Chemical Communications and Drug Discovery Today.
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.