W L Wong
- Molecular Biology
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Immunology
- Cancer Research top 10%
- Co-authors
- A E KochG. Kenneth HainesRichard M. PopeLisa A. HarlowElaine UnemoriEdward P. AmentoNicola FerraraC A Hébert
- Topics
- Growth Hormone and Insulin-like Growth Factors (6 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)TGF-β signaling in diseases (3 papers)
- Journals
- Journal of Clinical InvestigationThe Journal of ImmunologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
W L Wong
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 593
- Oncology 239
- Pulmonary and Respiratory Medicine 202
- Immunology 180
- Cancer Research 178
Countries citing papers authored by W L Wong
This map shows the geographic impact of W L 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 W L Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W L Wong more than expected).
Fields of papers citing papers by W L Wong
This network shows the impact of papers produced by W L 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 W L Wong. The network helps show where W L Wong may publish in the future.
Co-authorship network of co-authors of W L Wong
This figure shows the co-authorship network connecting the top 25 collaborators of W L Wong. A scholar is included among the top collaborators of W L Wong 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 W L Wong. W L Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 41 | |
| 3 | 8 | |
| 4 | Development of a humanized disulfide-stabilized anti-p185HER2 Fv-beta-lactamase fusion protein for activation of a cephalosporin doxorubicin prodrug. | 66 |
| 5 | 8 | |
| 6 | 24 | |
| 7 | 485 | |
| 8 | 11 | |
| 9 | 13 | |
| 10 | 28 | |
| 11 | 101 | |
| 12 | 32 | |
| 13 | 17 | |
| 14 | 245 | |
| 15 | 14 | |
| 16 | 65 | |
| 17 | 45 |
About W L Wong
W L Wong is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Clinical Biochemistry, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Immunology and Allergy (144 citations), Cancer Research (178 citations) and Rheumatology (149 citations). W L Wong has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include A E Koch, G. Kenneth Haines, Richard M. Pope, Lisa A. Harlow, Elaine Unemori, Edward P. Amento, Nicola Ferrara, C A Hébert, Mariafrancesca Catalano and P. Birrer. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.
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.