Jade Wang

938 citations
26 papers · 309 · h-index 9

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 5
    • SARS-CoV-2 detection and testing 2
    • Bacterial biofilms and quorum sensing 2
    • vaccines and immunoinformatics approaches 2

Jade Wang

24 papers receiving 294 citations

Peers

Jade Wang
Comparison fields: 5 of 70
  • Infectious Diseases 125
  • Modeling and Simulation 20
  • Microbiology 16
  • Animal Science and Zoology 20
  • Endocrinology 7
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Alex Mann United Kingdom
Kyle L. O’Donnell United States
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Maya Shemesh Israel
Kate Guilfoyle United Kingdom
Teck‐Hock Toh Malaysia
Joanna R. Wares United States
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Jade Wang relative to Alex Mann United Kingdom Alex Mann's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jade Wang

Since Specialization
Citations

This map shows the geographic impact of Jade Wang'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 Jade Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jade Wang more than expected).

Fields of papers citing papers by Jade Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jade Wang. 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 Jade Wang. The network helps show where Jade Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Jade Wang, 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 Jade Wang Line = papers co-authored together Jade Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202167
2 202145
3 202138
4 201930
5 200822
6 202220
7 201917
8 202210
9 20248
10 20257
11 20227
12 20237
13 20245
14 20225
15 20245
16 20244
17 20242
18 20242
19 20232
20 20242

About Jade Wang

Jade Wang is a scholar working on Infectious Diseases, Molecular Biology, Pulmonary and Respiratory Medicine, Atomic and Molecular Physics, and Optics and Modeling and Simulation, having authored 26 papers that have together received 309 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 epidemiological studies (3 papers), Adaptive optics and wavefront sensing (3 papers), COVID-19 and Mental Health (2 papers), SARS-CoV-2 detection and testing (2 papers), Bacterial biofilms and quorum sensing (2 papers), vaccines and immunoinformatics approaches (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Infectious Diseases (125 citations), Modeling and Simulation (20 citations), Microbiology (16 citations), Animal Science and Zoology (20 citations) and Endocrinology (7 citations). Jade Wang has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Scott Hughes, Jennifer L. Rakeman, Christine Chen, Stefanie J. Hectors, Magdalena Janus, Daniel Margolis, Mert R. Sabuncu, Johnson Chen, Miko Yu and Bashir Al Hussein Al Awamlh. Their work appears in journals such as International Journal for Population Data Science, MMWR Morbidity and Mortality Weekly Report, Science Advances, Antioxidants and Redox Signaling and Early Childhood Education Journal.

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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