Jade Wang

906 citations
26 papers · 288 · h-index 9

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 5
    • SARS-CoV-2 detection and testing 4
    • Bacterial biofilms and quorum sensing 2
    • vaccines and immunoinformatics approaches 2

Jade Wang

24 papers receiving 276 citations

Peers

Jade Wang
Comparison fields: 5 of 72
  • Infectious Diseases 129
  • Modeling and Simulation 29
  • Microbiology 14
  • Radiology, Nuclear Medicine and Imaging 41
  • Animal Science and Zoology 18
Replace Alex Mann with:
Alex Mann United Kingdom
Kyle L. O’Donnell United States
Zsὁfia Iglὁi Netherlands
Maya Shemesh Israel
Janine Michel Germany
Kate Guilfoyle United Kingdom
Mary Dawn T. Co United States
Kabita Pandey United States
Gustavo Fioravanti Vieira Brazil
Kelsey R. Florek United States
Jade Wang relative to Alex Mann United Kingdom Alex Mann's profile →
Citations per field
00.5×1.5×2.1×
Alex Mann · 1×
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 202166
2 202140
3 202136
4 201928
5 202220
6 200820
7 201915
8 202210
9 20248
10 20227
11 20236
12 20225
13 20255
14 20244
15 20244
16 20243
17 20242
18 20242
19 20232
20 20241

About Jade Wang

Jade Wang is a scholar working on Infectious Diseases, Molecular Biology, Modeling and Simulation, Clinical Psychology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 288 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 epidemiological studies (5 papers), SARS-CoV-2 detection and testing (4 papers), Adaptive optics and wavefront sensing (3 papers), COVID-19 and Mental Health (3 papers), Bacteriophages and microbial interactions (2 papers), Bacterial biofilms and quorum sensing (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Infectious Diseases (129 citations), Modeling and Simulation (29 citations), Microbiology (14 citations), Radiology, Nuclear Medicine and Imaging (41 citations) and Animal Science and Zoology (18 citations). Jade Wang has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Scott Hughes, Jennifer L. Rakeman, Magdalena Janus, Sharon Gordon, Jim C. Hu, Joel O. Wertheim, Miko Yu, Tetyana I. Vasylyeva, Daniel Margolis 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, Nature Medicine, Nature Communications and Virus Evolution.

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.

Explore authors with similar magnitude of impact