Lucas M. Stolerman
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Modeling and Simulation top 5%
- Infectious Diseases
- Epidemiology
- Co-authors
- Pedro D. MaiaPadmini RangamaniJ. Nathan KutzJason Z. ZhangMartin FalckeJessica R. YangSusan S. TaylorSohum Mehta
- Topics
- COVID-19 epidemiological studies (8 papers)Mosquito-borne diseases and control (5 papers)Viral Infections and Vectors (2 papers)
- Cited by
- Modeling and SimulationPublic Health, Environmental and Occupational HealthMolecular Biology
- Journals
- CellProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- United StatesBrazilBelgium
In The Last Decade
Lucas M. Stolerman
10 papers receiving 369 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 187
- Public Health, Environmental and Occupational Health 115
- Modeling and Simulation 85
- Infectious Diseases 35
- Epidemiology 33
Countries citing papers authored by Lucas M. Stolerman
This map shows the geographic impact of Lucas M. Stolerman'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 Lucas M. Stolerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucas M. Stolerman more than expected).
Fields of papers citing papers by Lucas M. Stolerman
This network shows the impact of papers produced by Lucas M. Stolerman. 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 Lucas M. Stolerman. The network helps show where Lucas M. Stolerman may publish in the future.
Co-authorship network of co-authors of Lucas M. Stolerman
This figure shows the co-authorship network connecting the top 25 collaborators of Lucas M. Stolerman. A scholar is included among the top collaborators of Lucas M. Stolerman 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 Lucas M. Stolerman. Lucas M. Stolerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 20 | |
| 4 | 12 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 212 | |
| 9 | 56 | |
| 10 | 23 | |
| 11 | 36 |
About Lucas M. Stolerman
Lucas M. Stolerman is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 11 papers that have together received 382 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (8 papers), Mosquito-borne diseases and control (5 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Modeling and Simulation (85 citations), Public Health, Environmental and Occupational Health (115 citations) and Molecular Biology (187 citations). Lucas M. Stolerman has collaborated with scholars based in United States, Brazil and Belgium. Frequent co-authors include Pedro D. Maia, Padmini Rangamani, J. Nathan Kutz, Jason Z. Zhang, Martin Falcke, Jessica R. Yang, Susan S. Taylor, Sohum Mehta, Brian Tenner and Jin Zhang. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.