J Tapia
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Epidemiology top 10%
- Mycobacterium research and diagnosis
- Pneumocystis jirovecii pneumonia detection and treatment
- Pneumonia and Respiratory Infections
Papers in
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- Tuberculosis Research and Epidemiology 10
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- Pneumonia and Respiratory Infections 4
- Mycobacterium research and diagnosis 4
- Pneumocystis jirovecii pneumonia detection and treatment 3
- Co-authors
- Henry M. Blumberg (7 shared papers)Naomi Bock (2 shared papers)Paul Weinfurter (2 shared papers)Rachel Albalak (2 shared papers)Ulrich Seybold (1 shared paper)Naasha J Talati (1 shared paper)Matthew J. Magee (1 shared paper)J. E. McGowan (1 shared paper)
- Journals
- BMC Infectious Diseases (2 papers)The International Journal of Tuberculosis and Lung Disease (2 papers)American Journal of Respiratory and Critical Care Medicine (2 papers)Clinical Infectious Diseases (1 paper)Tuberculosis (1 paper)
- Partner nations
- United StatesGermanyNorway
In The Last Decade
J Tapia
11 papers receiving 407 citations
Peers
Comparison fields: 5 of 69
- Infectious Diseases 373
- Epidemiology 302
- Surgery 217
- Virology 8
- Modeling and Simulation 7
Countries citing papers authored by J Tapia
This map shows the geographic impact of J Tapia'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 J Tapia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Tapia more than expected).
Fields of papers citing papers by J Tapia
This network shows the impact of papers produced by J Tapia. 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 J Tapia. The network helps show where J Tapia may publish in the future.
Co-authors
The 25 scholars most cited alongside J Tapia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 82 | |
| 2 | 1999 | 66 | |
| 3 | 2015 | 56 | |
| 4 | 2007 | 54 | |
| 5 | 1996 | 44 | |
| 6 | 2011 | 43 | |
| 7 | 2013 | 32 | |
| 8 | 2017 | 26 | |
| 9 | 2017 | 11 | |
| 10 | 2016 | 5 | |
| 11 | 2024 | 2 |
About J Tapia
J Tapia is a scholar working on Infectious Diseases, Epidemiology, Surgery, Control and Systems Engineering and Artificial Intelligence, having authored 11 papers that have together received 421 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Infectious Diseases and Tuberculosis (5 papers), Pneumonia and Respiratory Infections (4 papers), Mycobacterium research and diagnosis (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Schizophrenia research and treatment (1 paper), Diagnosis and treatment of tuberculosis (1 paper) and Leptospirosis research and findings (1 paper). The work is most often cited by research in Infectious Diseases (373 citations), Epidemiology (302 citations), Surgery (217 citations), Virology (8 citations) and Modeling and Simulation (7 citations). J Tapia has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Henry M. Blumberg, Naomi Bock, Paul Weinfurter, Rachel Albalak, Ulrich Seybold, Naasha J Talati, Matthew J. Magee, J. E. McGowan, Jong Gyun Ahn and Stephen Q. Muth. Their work appears in journals such as BMC Infectious Diseases, The International Journal of Tuberculosis and Lung Disease, American Journal of Respiratory and Critical Care Medicine, Clinical Infectious Diseases and Tuberculosis.
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.