Howard Doo
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
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- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Immunodeficiency and Autoimmune Disorders
Papers in
-
- Mycobacterium research and diagnosis 4
- Pneumocystis jirovecii pneumonia detection and treatment 2
-
- Tuberculosis Research and Epidemiology 4
- HIV/AIDS Research and Interventions 1
- Co-authors
- John L. Ho (5 shared papers)Maria da Glória Bonecini-Almeida (3 shared papers)Sadhana Chitale (3 shared papers)Jie Geng (1 shared paper)Shan He (1 shared paper)Richard C. Huard (1 shared paper)Neio Boéchat (1 shared paper)Luiz Claudio Oliveira Lazzarini (1 shared paper)
- Journals
- Scientific Reports (1 paper)The Journal of Immunology (1 paper)Infection and Immunity (1 paper)American Journal of Hematology (1 paper)American Journal of Public Health (1 paper)
- Partner nations
- United StatesSouth KoreaNetherlands
In The Last Decade
Howard Doo
7 papers receiving 404 citations
Peers
Comparison fields: 5 of 54
- Infectious Diseases 272
- Immunology 183
- Epidemiology 225
- Virology 25
- Microbiology 16
Countries citing papers authored by Howard Doo
This map shows the geographic impact of Howard Doo'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 Howard Doo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard Doo more than expected).
Fields of papers citing papers by Howard Doo
This network shows the impact of papers produced by Howard Doo. 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 Howard Doo. The network helps show where Howard Doo may publish in the future.
Co-authors
The 25 scholars most cited alongside Howard Doo, 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 | 2004 | 133 | |
| 2 | Induction of in vitro human macrophage anti-Mycobacterium tuberculosis activity: requirement for IFN-gamma and primed lymphocytes. | 1998 | 119 |
| 3 | 1998 | 101 | |
| 4 | 2018 | 23 | |
| 5 | 1996 | 21 | |
| 6 | 2006 | 8 | |
| 7 | 2004 | 3 | |
| 8 | 2025 | 0 |
About Howard Doo
Howard Doo is a scholar working on Epidemiology, Infectious Diseases, Hematology, Surgery and Molecular Biology, having authored 8 papers that have together received 408 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), HIV Research and Treatment (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Blood groups and transfusion (1 paper), HIV/AIDS Research and Interventions (1 paper) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Infectious Diseases (272 citations), Immunology (183 citations), Epidemiology (225 citations), Virology (25 citations) and Microbiology (16 citations). Howard Doo has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include John L. Ho, Maria da Glória Bonecini-Almeida, Sadhana Chitale, Jie Geng, Shan He, Richard C. Huard, Neio Boéchat, Luiz Claudio Oliveira Lazzarini, Afrânio Lineu Kritski and Timothy A. McCaffrey. Their work appears in journals such as Scientific Reports, The Journal of Immunology, Infection and Immunity, American Journal of Hematology and American Journal of Public Health.
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.