William J. Moss
Impact in
Papers in
- Co-authors
- Diane E. GriffinCatherine G. SutcliffeJanneke H. van DijkMwaka MonzePhilip E. ThumaFelicity T. CuttsJudith J. RyonNeal A. Halsey
- Journals
- American Journal of Tropical Medicine and Hygiene (27 papers)The Journal of Infectious Diseases (21 papers)Malaria Journal (18 papers)Vaccine (16 papers)PLoS ONE (15 papers)
- Partner nations
- United StatesZambiaSwitzerland
In The Last Decade
William J. Moss
259 papers receiving 6.6k citations
Peers
Comparison fields: 5 of 164
- Health 1.4k
- Virology 753
- Infectious Diseases 2.2k
- Modeling and Simulation 512
- Epidemiology 3.0k
Countries citing papers authored by William J. Moss
This map shows the geographic impact of William J. Moss'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 William J. Moss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Moss more than expected).
Fields of papers citing papers by William J. Moss
This network shows the impact of papers produced by William J. Moss. 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 William J. Moss. The network helps show where William J. Moss may publish in the future.
Co-authors
The 25 scholars most cited alongside William J. Moss, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 24 | |
| 12 | 2021 | 67 | |
| 13 | 2019 | 14 | |
| 14 | 2015 | 15 | |
| 15 | 2014 | 53 | |
| 16 | Antimycobacterial immune responses in HIV-infected children starting antiretroviral therapy in Lusaka, Zambia | 2010 | 1 |
| 17 | 2004 | 8 | |
| 18 | 2002 | 32 | |
| 19 | 2002 | 51 | |
| 20 | Pneumocystis carinii pneumonia in children infected with the human immunodeficiency virus | 1994 | 1 |
About William J. Moss
William J. Moss is a scholar working on Virology, Health, Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 273 papers that have together received 6.8k indexed citations. Recurring topics across this work include Virology and Viral Diseases (84 papers), Malaria Research and Control (66 papers), Vaccine Coverage and Hesitancy (62 papers), Mosquito-borne diseases and control (58 papers), HIV/AIDS Research and Interventions (41 papers), HIV Research and Treatment (35 papers), COVID-19 epidemiological studies (33 papers) and Immune responses and vaccinations (28 papers). The work is most often cited by research in Health (1.4k citations), Virology (753 citations), Infectious Diseases (2.2k citations), Modeling and Simulation (512 citations) and Epidemiology (3.0k citations). William J. Moss has collaborated with scholars based in United States, Zambia and Switzerland. Frequent co-authors include Diane E. Griffin, Catherine G. Sutcliffe, Janneke H. van Dijk, Mwaka Monze, Philip E. Thuma, Felicity T. Cutts, Judith J. Ryon, Neal A. Halsey, Tamaki Kobayashi and Carolyn Bolton‐Moore. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, The Journal of Infectious Diseases, Malaria Journal, Vaccine and PLoS ONE.
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.