Manda Wong
Impact in
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- Fibroblast Growth Factor Research
- Kruppel-like factors research
- Epigenetics and DNA Methylation
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- Protease and Inhibitor Mechanisms
Papers in
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- IL-33, ST2, and ILC Pathways 2
- Complement system in diseases 1
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Racquel Corpuz (2 shared papers)Jose Zavala‐Solorio (1 shared paper)Justin Q. Ly (1 shared paper)Daniel P. Sutherlin (1 shared paper)Noelyn M. Kljavin (1 shared paper)Ruby L.Y. Chan (1 shared paper)James A. Ernst (1 shared paper)Travis W. Bainbridge (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)mAbs (1 paper)Investigative Ophthalmology & Visual Science (1 paper)Bioanalysis (1 paper)Journal of Translational Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Manda Wong
7 papers receiving 142 citations
Peers
Comparison fields: 5 of 31
- Molecular Biology 98
- Cancer Research 20
- Oncology 36
- Immunology 25
- Radiology, Nuclear Medicine and Imaging 22
Countries citing papers authored by Manda Wong
This map shows the geographic impact of Manda Wong'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 Manda Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manda Wong more than expected).
Fields of papers citing papers by Manda Wong
This network shows the impact of papers produced by Manda Wong. 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 Manda Wong. The network helps show where Manda Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Manda Wong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 117 | |
| 2 | 2022 | 10 | |
| 3 | 2017 | 8 | |
| 4 | 2024 | 7 | |
| 5 | 2021 | 3 | |
| 6 | Anti-Factor D Fab Specifically Inhibits the Alternative Complement Pathway: In vitro Characterization and in vivo Effects Following Administration to Cynomolgus Monkeys | 2010 | 1 |
| 7 | 2025 | 1 |
About Manda Wong
Manda Wong is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology and Oncology, having authored 7 papers that have together received 147 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), IL-33, ST2, and ILC Pathways (2 papers), Eosinophilic Esophagitis (2 papers), Kruppel-like factors research (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Protein purification and stability (1 paper), Complement system in diseases (1 paper) and Fibroblast Growth Factor Research (1 paper). The work is most often cited by research in Molecular Biology (98 citations), Cancer Research (20 citations), Oncology (36 citations), Immunology (25 citations) and Radiology, Nuclear Medicine and Imaging (22 citations). Manda Wong has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Racquel Corpuz, Jose Zavala‐Solorio, Justin Q. Ly, Daniel P. Sutherlin, Noelyn M. Kljavin, Ruby L.Y. Chan, James A. Ernst, Travis W. Bainbridge, Amy C. Schroeder and Diana Dunshee. Their work appears in journals such as Journal of Biological Chemistry, mAbs, Investigative Ophthalmology & Visual Science, Bioanalysis and Journal of Translational Medicine.
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.