Annie Cheng

1.0k citations
19 papers · 530 · h-index 10

Impact in

Papers in

    • SARS-CoV-2 detection and testing 7
    • SARS-CoV-2 and COVID-19 Research 2
    • Respiratory viral infections research 2
    • Influenza Virus Research Studies 2

Annie Cheng

17 papers receiving 520 citations

Peers

Annie Cheng
Comparison fields: 5 of 78
  • General Dentistry 20
  • Infectious Diseases 226
  • Genetics 81
  • Microbiology 49
  • Health Informatics 6
Replace Chuanbin Guo with:
Chuanbin Guo China
Reina Watanabe Japan
Maite de la Morena United States
Linda Levin United States
Jean‐Pierre Bernimoulin Germany
Nahoko Kato‐Kogoe Japan
Marco A. Fernández Spain
Arnaud Drouin France
Philip P. Stashenko United States
Charlie Phornphutkul Thailand
Annie Cheng relative to Chuanbin Guo China Chuanbin Guo's profile →
Citations per field
00.5×8.1×
Chuanbin Guo · 1×
Citations per year

Countries citing papers authored by Annie Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Annie Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2020123
2 2020105
3 202081
4 201142
5 200942
6 202232
7 202126
8 202023
9 201416
10 202112
11 20249
12 20197
13 20114
14 20233
15 20242
16 20242
17 20131
18 20230
19 20140

About Annie Cheng

Annie Cheng is a scholar working on Infectious Diseases, Epidemiology, Radiology, Nuclear Medicine and Imaging, Genetics and Hematology, having authored 19 papers that have together received 530 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (7 papers), COVID-19 diagnosis using AI (4 papers), COVID-19 epidemiological studies (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Respiratory viral infections research (2 papers), Influenza Virus Research Studies (2 papers), Mesenchymal stem cell research (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in General Dentistry (20 citations), Infectious Diseases (226 citations), Genetics (81 citations), Microbiology (49 citations) and Health Informatics (6 citations). Annie Cheng has collaborated with scholars based in United States, New Zealand and Israel. Frequent co-authors include James E. Kirby, Ramy Arnaout, Cody Callahan, Rose Lee, Qinfang Qian, Ghee Rye Lee, Rohit Arora, Christina Yen, Stefan Riedel and Biljana Horn. Their work appears in journals such as Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease, Clinical Infectious Diseases, Nature Communications and Management in Education.

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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