Michael Lauzardo
- Infectious Diseases top 2%
- Pulmonary and Respiratory Medicine top 5%
- Epidemiology top 10%
- Modeling and Simulation top 1%
- Surgery
- Co-authors
- J. Glenn MorrisJohn A. LednickyMd. Mahbubul AlamMaha A. ElbadryCaroline J. StephensonDavid AshkinTrevor B. TillyArantza Eiguren-Fernández
- Topics
- Tuberculosis Research and Epidemiology (35 papers)Mycobacterium research and diagnosis (21 papers)Infectious Diseases and Tuberculosis (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Epidemiology
- Partner nations
- United StatesMexicoGhana
In The Last Decade
Michael Lauzardo
47 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Infectious Diseases 658
- Pulmonary and Respiratory Medicine 514
- Epidemiology 412
- Modeling and Simulation 243
- Surgery 183
Countries citing papers authored by Michael Lauzardo
This map shows the geographic impact of Michael Lauzardo'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 Michael Lauzardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lauzardo more than expected).
Fields of papers citing papers by Michael Lauzardo
This network shows the impact of papers produced by Michael Lauzardo. 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 Michael Lauzardo. The network helps show where Michael Lauzardo may publish in the future.
Co-authorship network of co-authors of Michael Lauzardo
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Lauzardo. A scholar is included among the top collaborators of Michael Lauzardo 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 Michael Lauzardo. Michael Lauzardo 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 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | Viable SARS-CoV-2 in the air of a hospital room with COVID-19 patientsbreakdown → | 486 |
| 6 | 21 | |
| 7 | 17 | |
| 8 | 1 | |
| 9 | 17 | |
| 10 | 10 | |
| 11 | 16 | |
| 12 | 7 | |
| 13 | 11 | |
| 14 | 1 | |
| 15 | 21 | |
| 16 | 16 | |
| 17 | 7 | |
| 18 | Tuberculosis Screening and Treatment of Latent Tuberculosis Infection among International College Students | 1 |
| 19 | 46 | |
| 20 | 49 |
About Michael Lauzardo
Michael Lauzardo is a scholar working on Infectious Diseases, Epidemiology and Surgery, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (35 papers), Mycobacterium research and diagnosis (21 papers) and Infectious Diseases and Tuberculosis (18 papers). The work is most often cited by research in Modeling and Simulation (243 citations), Infectious Diseases (658 citations) and Pulmonary and Respiratory Medicine (514 citations). Michael Lauzardo has collaborated with scholars based in United States, Mexico and Ghana. Frequent co-authors include J. Glenn Morris, John A. Lednicky, Md. Mahbubul Alam, Maha A. Elbadry, Caroline J. Stephenson, David Ashkin, Trevor B. Tilly, Arantza Eiguren-Fernández, Moiz Usmani and Kuttichantran Subramaniam. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Epidemiology.
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.