Michael P. Johnson
- Epidemiology top 10%
- Infectious Diseases top 5%
- Surgery
- Immunology
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Parker A. SmallBradley S. BenderRichard E. ChaissonStanton A. CookJo‐An AtkinsonHomer DavisAaron BobickAndrew D. Wilson
- Topics
- Tuberculosis Research and Epidemiology (4 papers)Pneumocystis jirovecii pneumonia detection and treatment (4 papers)Influenza Virus Research Studies (3 papers)
- Journals
- The LancetAmerican Journal of Respiratory and Critical Care MedicineThe American Naturalist
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Michael P. Johnson
18 papers receiving 700 citations
Peers
Comparison fields: 5 of 122
- Epidemiology 363
- Infectious Diseases 354
- Surgery 161
- Immunology 100
- Computer Vision and Pattern Recognition 86
Countries citing papers authored by Michael P. Johnson
This map shows the geographic impact of Michael P. Johnson'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 P. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Johnson more than expected).
Fields of papers citing papers by Michael P. Johnson
This network shows the impact of papers produced by Michael P. Johnson. 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 P. Johnson. The network helps show where Michael P. Johnson may publish in the future.
Co-authorship network of co-authors of Michael P. Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Johnson. A scholar is included among the top collaborators of Michael P. Johnson 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 P. Johnson. Michael P. Johnson 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 | 20 | |
| 3 | 102 | |
| 4 | 212 | |
| 5 | 96 | |
| 6 | 2 | |
| 7 | Widespread HIV counseling and testing linked to a community-based tuberculosis control program in a high-risk population. | 14 |
| 8 | 11 | |
| 9 | 41 | |
| 10 | 7 | |
| 11 | 41 | |
| 12 | Influenza in senescent mice: impaired cytotoxic T-lymphocyte activity is correlated with prolonged infection. | 102 |
| 13 | 11 | |
| 14 | 19 | |
| 15 | 17 | |
| 16 | 3 | |
| 17 | 30 | |
| 18 | 2 | |
| 19 | 53 |
About Michael P. Johnson
Michael P. Johnson is a scholar working on Virology, Infectious Diseases and Epidemiology, having authored 19 papers that have together received 785 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (354 citations), Human-Computer Interaction (66 citations) and Epidemiology (363 citations). Michael P. Johnson has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Parker A. Small, Bradley S. Bender, Richard E. Chaisson, Stanton A. Cook, Jo‐An Atkinson, Homer Davis, Aaron Bobick, Andrew D. Wilson, Bruce Blumberg and Jacqueline Coberly. Their work appears in journals such as The Lancet, American Journal of Respiratory and Critical Care Medicine and The American Naturalist.
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.