Che‐Leung Law
- Immunology top 1%
- Oncology top 1%
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Edward A. ClarkSidorenko SpKristine A. GordonIqbal S. GrewalPeter D. SenterAlan F. WahlCharles G. CervenyKerry Klussman
- Topics
- Monoclonal and Polyclonal Antibodies Research (58 papers)HER2/EGFR in Cancer Research (21 papers)T-cell and B-cell Immunology (20 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Che‐Leung Law
98 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Immunology 2.3k
- Oncology 1.7k
- Molecular Biology 1.6k
- Radiology, Nuclear Medicine and Imaging 1.5k
- Pathology and Forensic Medicine 668
Countries citing papers authored by Che‐Leung Law
This map shows the geographic impact of Che‐Leung Law'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 Che‐Leung Law with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che‐Leung Law more than expected).
Fields of papers citing papers by Che‐Leung Law
This network shows the impact of papers produced by Che‐Leung Law. 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 Che‐Leung Law. The network helps show where Che‐Leung Law may publish in the future.
Co-authorship network of co-authors of Che‐Leung Law
This figure shows the co-authorship network connecting the top 25 collaborators of Che‐Leung Law. A scholar is included among the top collaborators of Che‐Leung Law 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 Che‐Leung Law. Che‐Leung Law is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 35 | |
| 3 | 53 | |
| 4 | 231 | |
| 5 | 16 | |
| 6 | 27 | |
| 7 | 24 | |
| 8 | 47 | |
| 9 | 36 | |
| 10 | 4 | |
| 11 | 32 | |
| 12 | 70 | |
| 13 | Humanized anti-CD19 auristatin antibody-drug conjugates display potent antitumor activity in preclinical models of B-cell malignancies | 2 |
| 14 | The humanized anti-CD40 monoclonal antibody, SGN-40, signals apoptosis in non-Hodgkin's lymphoma by dual mechanisms | 1 |
| 15 | 11 | |
| 16 | 193 | |
| 17 | 172 | |
| 18 | 115 | |
| 19 | 14 | |
| 20 | 38 |
About Che‐Leung Law
Che‐Leung Law is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Immunology and Allergy, having authored 99 papers that have together received 5.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (58 papers), HER2/EGFR in Cancer Research (21 papers) and T-cell and B-cell Immunology (20 papers). The work is most often cited by research in Immunology (2.3k citations), Immunology and Allergy (509 citations) and Radiology, Nuclear Medicine and Imaging (1.5k citations). Che‐Leung Law has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Edward A. Clark, Sidorenko Sp, Kristine A. Gordon, Iqbal S. Grewal, Peter D. Senter, Alan F. Wahl, Charles G. Cerveny, Kerry Klussman, Damon L. Meyer and Svetlana O. Doronina. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.