Hung Kam Cheung

887 total citations
11 papers, 466 citations indexed

About

Hung Kam Cheung is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hung Kam Cheung has authored 11 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hung Kam Cheung's work include TGF-β signaling in diseases (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). Hung Kam Cheung is often cited by papers focused on TGF-β signaling in diseases (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). Hung Kam Cheung collaborates with scholars based in United States, Netherlands and Germany. Hung Kam Cheung's co-authors include Leona Ling, Michael J. Corbley, Steven Μ. Albelda, Juswinder Singh, Wen‐Cherng Lee, Xiamei Zhang, Veena Kapoor, Larry R. Kaiser, Claudio Chuaqui and Miki Newman and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and European Journal of Cancer.

In The Last Decade

Hung Kam Cheung

11 papers receiving 448 citations

Peers

Hung Kam Cheung
Comparison fields: 5 of 67
  • Molecular Biology 248
  • Oncology 224
  • Immunology 101
  • Pulmonary and Respiratory Medicine 58
  • Computational Theory and Mathematics 47
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L. Serrone Malaysia
Yvonne Li Canada
Jeremy Griggs United Kingdom
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Amanda Lassen United States
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Xinhui Wang China View profile →
Citations per field, relative to Hung Kam Cheung
Hung Kam Cheung · 1×
Citations per year, relative to Hung Kam Cheung
Hung Kam Cheung · 1×

Countries citing papers authored by Hung Kam Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Hung Kam Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung Kam 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 Hung Kam Cheung. The network helps show where Hung Kam Cheung may publish in the future.

Co-authorship network of co-authors of Hung Kam Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Hung Kam Cheung. A scholar is included among the top collaborators of Hung Kam 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 Hung Kam Cheung. Hung Kam Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 2
2 25
3 29
4 1
5
An orally active small molecule TGF-beta receptor I antagonist inhibits the growth of metastatic murine breast cancer.
35
6 71
7 93
8 51
9 133
10 23
11 3

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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