Lawrence H. Cheung
- Molecular Biology top 10%
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 10%
- Biotechnology top 2%
- Co-authors
- Michael G. RosenblumJohn W. MarksYuying LiuWalter N. HittelmanKhalid A. MohamedaliKalpana MujooYu CaoPhilip E. Thorpe
- Topics
- Toxin Mechanisms and Immunotoxins (23 papers)Monoclonal and Polyclonal Antibodies Research (17 papers)Cell death mechanisms and regulation (7 papers)
- Journals
- Proceedings of the National Academy of SciencesPLoS ONEJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Lawrence H. Cheung
62 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 733
- Immunology 587
- Radiology, Nuclear Medicine and Imaging 394
- Oncology 326
- Biotechnology 259
Countries citing papers authored by Lawrence H. Cheung
This map shows the geographic impact of Lawrence H. Cheung'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 Lawrence H. Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence H. Cheung more than expected).
Fields of papers citing papers by Lawrence H. Cheung
This network shows the impact of papers produced by Lawrence H. Cheung. 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 Lawrence H. Cheung. The network helps show where Lawrence H. Cheung may publish in the future.
Co-authorship network of co-authors of Lawrence H. Cheung
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence H. Cheung. A scholar is included among the top collaborators of Lawrence H. Cheung 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 Lawrence H. Cheung. Lawrence H. Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 15 | |
| 8 | 21 | |
| 9 | 12 | |
| 10 | 25 | |
| 11 | 54 | |
| 12 | 28 | |
| 13 | 7 | |
| 14 | 43 | |
| 15 | 6 | |
| 16 | 30 | |
| 17 | 28 | |
| 18 | 9 | |
| 19 | 23 | |
| 20 | 21 |
About Lawrence H. Cheung
Lawrence H. Cheung is a scholar working on Biotechnology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (23 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and Cell death mechanisms and regulation (7 papers). The work is most often cited by research in Biotechnology (259 citations), Immunology (587 citations) and Radiology, Nuclear Medicine and Imaging (394 citations). Lawrence H. Cheung has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Michael G. Rosenblum, John W. Marks, Yuying Liu, Walter N. Hittelman, Khalid A. Mohamedali, Kalpana Mujoo, Yu Cao, Philip E. Thorpe, Kristian Berg and Johannes Waltenberger. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and JNCI Journal of the National Cancer Institute.
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.