Ada Kwan

1.7k citations
43 papers · 1.1k · 1 hit paper · h-index 16

Impact in

Papers in

Ada Kwan

40 papers receiving 1.0k citations

Ada Kwan's Hit Papers

Infectiousness of SARS-CoV-2 breakthrough infections and reinfections during the Omicron wave 2023 · 142 citations
1420+1+2Years since publication4080120

Peers

Ada Kwan
Comparison fields: 5 of 97
  • Applied Microbiology and Biotechnology 123
  • Infectious Diseases 454
  • Finance 105
  • Pediatrics, Perinatology and Child Health 168
  • Modeling and Simulation 41
Replace Junko Okumura with:
Junko Okumura Japan
Benjamin Daniels United States
Amrita Daftary Canada
Sharath Burugina Nagaraja India
Desmond Kuupiel South Africa
Greg J. Fox Australia
James S. Ngocho Tanzania
Sheela Rangan United Kingdom
Peter S. Nyasulu South Africa
Ammar Ali Saleh Jaber United Arab Emirates
Ada Kwan relative to Junko Okumura Japan Junko Okumura's profile →
Citations per field
00.5×
Junko Okumura · 1×
Citations per year

Countries citing papers authored by Ada Kwan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ada Kwan Line = papers co-authored together Ada Kwan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015165
2
Infectiousness of SARS-CoV-2 breakthrough infections and reinfections during the Omicron wave
Hit paper breakdown →
2023142
3 201888
4 202085
5 201681
6 201971
7 201460
8 201937
9 201936
10 201629
11
Tissue fractionation by hydrostatic pressure cycling technology: the unified sample preparation technique for systems biology studies.
200827
12 202126
13 201421
14 201920
15 202117
16 202116
17 201814
18 202214
19 202213
20 201813

About Ada Kwan

Ada Kwan is a scholar working on Infectious Diseases, General Health Professions, Economics and Econometrics, Finance and Pediatrics, Perinatology and Child Health, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Healthcare Systems and Reforms (7 papers), Global Maternal and Child Health (6 papers), Healthcare Policy and Management (5 papers), COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Criminal Justice and Corrections Analysis (4 papers) and COVID-19 and healthcare impacts (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (123 citations), Infectious Diseases (454 citations), Finance (105 citations), Pediatrics, Perinatology and Child Health (168 citations) and Modeling and Simulation (41 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, Ramnath Subbaraman, Srinath Satyanarayana, David Sears and Isabel Rodríguez-Barraquer. Their work appears in journals such as BMJ Global Health, PLoS ONE, The Lancet Infectious Diseases, Health Policy and Planning and Health Affairs.

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.

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