Hiotong Kam

441 citations
18 papers · 339 indexed · 1 hit paper · h-index 11
Topics
Zebrafish Biomedical Research Applications (4 papers)Immunotherapy and Immune Responses (3 papers)Nanoplatforms for cancer theranostics (3 papers)
Partner nations
ChinaMacaoHong Kong

In The Last Decade

Hiotong Kam

17 papers receiving 338 citations

Hit Papers

Conjugation of Macrophage-Mimetic Microalgae and Liposome...20232026202420252023255075100

Peers

Hiotong Kam
Comparison fields: 5 of 81
  • Biomedical Engineering 120
  • Molecular Biology 96
  • Immunology 48
  • Materials Chemistry 45
  • Biomaterials 31
Replace Gouse M. Shaik with:
Gouse M. Shaik Saudi Arabia
Jianhua Yang China
Gillian E. Conway United Kingdom
M. Pacheco Chile
Jingfen Han China
Biswa Prasun Chatterji India
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Lekha Dinesh Kumar India
Hiotong Kam relative to Gouse M. Shaik Saudi Arabia Gouse M. Shaik's profile →
Citations per field
00.5×1.5×2.4×
Gouse M. Shaik · 1×
Citations per year

Countries citing papers authored by Hiotong Kam

Since Specialization
Citations

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

Fields of papers citing papers by Hiotong Kam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiotong Kam

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 0
3
Conjugation of Macrophage-Mimetic Microalgae and Liposome for Antitumor Sonodynamic Immunotherapy via Hypoxia Alleviation and Autophagy Inhibitionbreakdown →
113
4 2
5 22
6 6
7 8
8 14
9 7
10 25
11 20
12 17
13 6
14 12
15 14
16 17
17 45
18 10

About Hiotong Kam

Hiotong Kam is a scholar working on Physiology, Toxicology and Cell Biology, having authored 18 papers that have together received 339 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (4 papers), Immunotherapy and Immune Responses (3 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Biomedical Engineering (120 citations), Biomaterials (31 citations) and Immunology (48 citations). Hiotong Kam has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Simon Ming‐Yuen Lee, Guiyi Gong, Ruibing Wang, Cheryl H. T. Kwong, Gao Cheng, Qingfu Wang, Guosong Chen, Beibei Xie, John P. Giesy and Shengke Li. Their work appears in journals such as ACS Nano, The Science of The Total Environment and Environmental Pollution.

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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