Ada Kwan
Impact in
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- Antibiotic Use and Resistance
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in ⓘ
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- Antibiotic Use and Resistance 7
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- COVID-19 epidemiological studies 5
- Co-authors
- Benjamin Daniels (16 shared papers)Jishnu Das (14 shared papers)Madhukar Pai (16 shared papers)Veena Das (12 shared papers)Sofi Bergkvist (6 shared papers)Ranendra Das (11 shared papers)Srinath Satyanarayana (6 shared papers)Ramnath Subbaraman (6 shared papers)
- Journals
- BMJ Global Health (5 papers)PLoS ONE (4 papers)Health Affairs (2 papers)The Lancet Infectious Diseases (2 papers)PLoS Medicine (1 paper)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Ada Kwan
37 papers receiving 982 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Applied Microbiology and Biotechnology 169
- Infectious Diseases 486
- Finance 170
- Modeling and Simulation 68
- Pediatrics, Perinatology and Child Health 239
Countries citing papers authored by Ada Kwan
This map shows the geographic impact of Ada Kwan'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 Ada Kwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ada Kwan more than expected).
Fields of papers citing papers by Ada Kwan
This network shows the impact of papers produced by Ada Kwan. 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 Ada Kwan. The network helps show where Ada Kwan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ada Kwan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 161 | |
| 2 | Infectiousness of SARS-CoV-2 breakthrough infections and reinfections during the Omicron wave Hit paper breakdown → | 2023 | 133 |
| 3 | 2018 | 88 | |
| 4 | 2020 | 82 | |
| 5 | 2016 | 80 | |
| 6 | 2019 | 69 | |
| 7 | 2014 | 59 | |
| 8 | 2019 | 37 | |
| 9 | 2019 | 34 | |
| 10 | 2016 | 29 | |
| 11 | 2021 | 24 | |
| 12 | Tissue fractionation by hydrostatic pressure cycling technology: the unified sample preparation technique for systems biology studies. | 2008 | 22 |
| 13 | 2014 | 21 | |
| 14 | 2019 | 19 | |
| 15 | 2021 | 16 | |
| 16 | 2018 | 14 | |
| 17 | 2018 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2021 | 13 | |
| 20 | 2022 | 10 |
About Ada Kwan
Ada Kwan is a scholar working on Applied Microbiology and Biotechnology, Modeling and Simulation, Infectious Diseases, Finance and Geriatrics and Gerontology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Global Maternal and Child Health (10 papers), Pneumonia and Respiratory Infections (9 papers), Healthcare Systems and Reforms (9 papers), Antibiotic Use and Resistance (7 papers), Healthcare Policy and Management (6 papers), HIV/AIDS Impact and Responses (5 papers) and COVID-19 epidemiological studies (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (169 citations), Infectious Diseases (486 citations), Finance (170 citations), Modeling and Simulation (68 citations) and Pediatrics, Perinatology and Child Health (239 citations). Ada Kwan has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Benjamin Daniels, Jishnu Das, Madhukar Pai, Veena Das, Sofi Bergkvist, Ranendra Das, Srinath Satyanarayana, Ramnath Subbaraman, David Sears and Isabel Rodríguez-Barraquer. Their work appears in journals such as BMJ Global Health, PLoS ONE, Health Affairs, The Lancet Infectious Diseases and PLoS Medicine.
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.