Matthew G. Lackemeyer
- Infectious Diseases top 2%
- Epidemiology
- Pulmonary and Respiratory Medicine top 10%
- Public Health, Environmental and Occupational Health top 10%
- Modeling and Simulation top 2%
- Co-authors
- Douglas S. ReedNicole L. GarzaJ. Kyle BohannonCathleen M. LindPeter B. JahrlingWilliam D. PrattMichael D. ParkerReed F. Johnson
- Topics
- Viral Infections and Outbreaks Research (14 papers)Viral Infections and Vectors (13 papers)Bacillus and Francisella bacterial research (11 papers)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Matthew G. Lackemeyer
34 papers receiving 961 citations
Peers
Comparison fields: 5 of 90
- Infectious Diseases 649
- Epidemiology 222
- Pulmonary and Respiratory Medicine 215
- Public Health, Environmental and Occupational Health 185
- Modeling and Simulation 144
Countries citing papers authored by Matthew G. Lackemeyer
This map shows the geographic impact of Matthew G. Lackemeyer'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 Matthew G. Lackemeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew G. Lackemeyer more than expected).
Fields of papers citing papers by Matthew G. Lackemeyer
This network shows the impact of papers produced by Matthew G. Lackemeyer. 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 Matthew G. Lackemeyer. The network helps show where Matthew G. Lackemeyer may publish in the future.
Co-authorship network of co-authors of Matthew G. Lackemeyer
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew G. Lackemeyer. A scholar is included among the top collaborators of Matthew G. Lackemeyer 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 Matthew G. Lackemeyer. Matthew G. Lackemeyer 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 | 4 | |
| 3 | 14 | |
| 4 | 25 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 21 | |
| 14 | 5 | |
| 15 | 30 | |
| 16 | 41 | |
| 17 | 114 | |
| 18 | 74 | |
| 19 | 45 | |
| 20 | 62 |
About Matthew G. Lackemeyer
Matthew G. Lackemeyer is a scholar working on Chemical Health and Safety, Infectious Diseases and Modeling and Simulation, having authored 34 papers that have together received 987 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (14 papers), Viral Infections and Vectors (13 papers) and Bacillus and Francisella bacterial research (11 papers). The work is most often cited by research in Infectious Diseases (649 citations), Modeling and Simulation (144 citations) and Chemical Health and Safety (8 citations). Matthew G. Lackemeyer has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Douglas S. Reed, Nicole L. Garza, J. Kyle Bohannon, Cathleen M. Lind, Peter B. Jahrling, William D. Pratt, Michael D. Parker, Reed F. Johnson, Donald K. Nichols and Vincent J. Munster. Their work appears in journals such as PLoS ONE, Journal of Virology and The Journal of Infectious Diseases.
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.