Jade Wang

906 total citations
26 papers, 288 citations indexed

About

Jade Wang is a scholar working on Infectious Diseases, Molecular Biology and Modeling and Simulation. According to data from OpenAlex, Jade Wang has authored 26 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Molecular Biology and 5 papers in Modeling and Simulation. Recurrent topics in Jade Wang's work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 epidemiological studies (5 papers) and SARS-CoV-2 detection and testing (4 papers). Jade Wang is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 epidemiological studies (5 papers) and SARS-CoV-2 detection and testing (4 papers). Jade Wang collaborates with scholars based in United States, United Kingdom and Canada. Jade Wang's co-authors include Scott Hughes, Jennifer L. Rakeman, Magdalena Janus, Miko Yu, Nina Kraus, Stefanie J. Hectors, Johnson Chen, Trent Nicol, Tetyana I. Vasylyeva and Jim C. Hu and has published in prestigious journals such as Nature Medicine, Nature Communications and The Journal of Infectious Diseases.

In The Last Decade

Jade Wang

24 papers receiving 276 citations

Peers

Jade Wang

PRM

RNMI

Alex Mann United Kingdom

Maya Shemesh Israel

Kabita Pandey United States

Emma Rourke United Kingdom

Peiyi Chen China

Elie Chalhoub Lebanon

Prashanth Selvaraj United States

Brooke Mitchell United States

Janine Michel Germany

Natalie F. Crawford United States

Alex Mann United Kingdom

Jade Wang

140 ×1.1

68 ×0.9

52 ×1.3

PRM

33 ×0.8

RNMI

37 ×1.3

Citations per year, relative to Jade Wang Jade Wang (= 1×) peers Alex Mann

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-authorship network of co-authors of Jade Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jade Wang. A scholar is included among the top collaborators of Jade Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jade Wang. Jade Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Pekar, Jonathan E., Yu Wang, Jade Wang, et al.. (2025). Transmission dynamics of the 2022 mpox epidemic in New York City. Nature Medicine. 31(5). 1464–1473. 5 indexed citations

Greene, Sharon K., Julia Latash, Eric Peterson, et al.. (2025). Applying prospective tree-temporal scan statistics to genomic surveillance data to detect emerging SARS-CoV-2 variants and salmonellosis clusters in New York City. International Journal of Epidemiology. 54(2).

Wang, Jade, Jim C. Hu, Yuliya Jhanwar, et al.. (2024). Reasons for Discordance between 68Ga-PSMA-PET and Magnetic Resonance Imaging in Men with Metastatic Prostate Cancer. Cancers. 16(11). 2056–2056. 1 indexed citations

Schneider, Adriano de Bernardi, Michelle Su, Angie S. Hinrichs, et al.. (2024). SARS-CoV-2 lineage assignments using phylogenetic placement/UShER are superior to pangoLEARN machine-learning method. Virus Evolution. 10(1). vead085–vead085. 8 indexed citations

Issaoun, Sara, Kazunori Akiyama, Lindy Blackburn, et al.. (2024). The Black Hole Explorer: operating a hybrid observatory. arXiv (Cornell University). 193–193. 2 indexed citations

Wang, Jade, Don M. Boroson, David O. Caplan, et al.. (2024). High data rate laser communications for the Black Hole Explorer. 200–200. 4 indexed citations

Ramai, Daryl, Enad Dawod, Peter Darwin, et al.. (2024). Endoscopic Ultrasound-guided Transmural Biliary Drainage With 6 mm and 8 mm Cautery-enhanced Lumen-apposing Metal Stents. Journal of Clinical Gastroenterology. 59(4). 376–383.

Kissler, Stephen M., et al.. (2024). Surveillance strategies for the detection of new pathogen variants across epidemiological contexts. PLoS Computational Biology. 20(9). e1012416–e1012416. 1 indexed citations

Vasylyeva, Tetyana I., Jennifer L. Havens, Jade Wang, et al.. (2024). The role of socio-economic disparities in the relative success and persistence of SARS-CoV-2 variants in New York City in early 2021. PLoS Pathogens. 20(6). e1012288–e1012288. 1 indexed citations

10.

Marrone, Daniel P., Janice Houston, Kazunori Akiyama, et al.. (2024). The Black Hole Explorer: instrument system overview. 93–93. 4 indexed citations

11.

Crompton, David, et al.. (2024). TBIRD: a rapid prototyping approach for design, assembly, and test of a LEO-to-ground lasercom CubeSat. 14–14. 2 indexed citations

12.

Srinivasan, Ranjani, Jonathan Weintroub, Rick Raffanti, et al.. (2024). The Black Hole Explorer: back end electronics. 12413. 199–199. 3 indexed citations

13.

Parton, Hilary, Scott Hughes, Enoma Omoregie, et al.. (2023). Notes from the Field: Epidemiologic Characteristics of SARS-CoV-2 Recombinant Variant XBB.1.5 — New York City, November 1, 2022–January 4, 2023. MMWR Morbidity and Mortality Weekly Report. 72(8). 212–214. 6 indexed citations

14.

Vasylyeva, Tetyana I., Michelle Su, Jennifer L. Havens, et al.. (2022). Introduction and Establishment of SARS-CoV-2 Gamma Variant in New York City in Early 2021. The Journal of Infectious Diseases. 226(12). 2142–2149. 5 indexed citations

15.

Wang, Jade, et al.. (2022). From Full Day Learning to 30 Minutes a Day: A Descriptive Study of Early Learning During the First COVID-19 Pandemic School Shutdown in Ontario. Early Childhood Education Journal. 51(2). 287–299. 20 indexed citations

16.

Yang, Wan, Sharon K. Greene, Eric Peterson, et al.. (2022). Epidemiological characteristics of the B.1.526 SARS-CoV-2 variant. Science Advances. 8(4). eabm0300–eabm0300. 10 indexed citations

17.

Wang, Jade, et al.. (2022). An investigation of kindergarten educator reported barriers and concerns and school neighbourhood composition in Ontario, Canada.. International Journal for Population Data Science. 7(3). 1 indexed citations

18.

West, Anthony P., Joel O. Wertheim, Jade Wang, et al.. (2021). Detection and characterization of the SARS-CoV-2 lineage B.1.526 in New York. Nature Communications. 12(1). 4886–4886. 66 indexed citations

19.

Hectors, Stefanie J., Christine Chen, Johnson Chen, et al.. (2021). Magnetic Resonance Imaging Radiomics‐Based Machine Learning Prediction of Clinically Significant Prostate Cancer in Equivocal PI‐RADS 3 Lesions. Journal of Magnetic Resonance Imaging. 54(5). 1466–1473. 40 indexed citations

20.

Jacob, Samson T., Jade Wang, Hiromi W.L. Koh, et al.. (2019). Polyubiquitin Chains Linked by Lysine Residue 48 (K48) Selectively Target Oxidized Proteins In Vivo. Antioxidants and Redox Signaling. 31(15). 1133–1149. 28 indexed citations

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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