Choon‐Kook Sam

2.0k citations
53 papers · 1.8k · h-index 22

Impact in

Papers in

    • Viral-associated cancers and disorders 19
    • Polyomavirus and related diseases 5
    • Bacterial Genetics and Biotechnology 10

Choon‐Kook Sam

53 papers receiving 1.7k citations

Peers

Choon‐Kook Sam
Comparison fields: 5 of 105
  • Periodontics 134
  • Molecular Medicine 146
  • Endocrinology 125
  • Otorhinolaryngology 83
  • Oncology 452
Replace Saleem Ahmad Khan with:
Saleem Ahmad Khan United States
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Robert Boissy United States
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Xuhu Mao China
Karen Moreau France
Julie A. Segre United States
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Olga M. Ibañez Brazil
Choon‐Kook Sam relative to Saleem Ahmad Khan United States Saleem Ahmad Khan's profile →
Citations per field
00.5×2×4×6×7.4×
Saleem Ahmad Khan · 1×
Citations per year

Countries citing papers authored by Choon‐Kook Sam

Since Specialization
Citations

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

Fields of papers citing papers by Choon‐Kook Sam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Choon‐Kook Sam. 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 Choon‐Kook Sam. The network helps show where Choon‐Kook Sam may publish in the future.

Co-authors

The 25 scholars most cited alongside Choon‐Kook Sam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Choon‐Kook Sam Line = papers co-authored together Choon‐Kook Sam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013226
2 2011195
3 2012142
4
Expression of Epstein-Barr virus genes and of lymphocyte activation molecules in undifferentiated nasopharyngeal carcinomas.
1992128
5 199393
6 200665
7 200865
8 201264
9 201256
10 198154
11 201450
12 199149
13 199046
14 201040
15 201336
16 201135
17 200333
18 201231
19 199430
20 200228

About Choon‐Kook Sam

Choon‐Kook Sam is a scholar working on Oncology, Genetics, Infectious Diseases, Pathology and Forensic Medicine and Molecular Biology, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (19 papers), Bacterial biofilms and quorum sensing (14 papers), Bacterial Genetics and Biotechnology (10 papers), Parvovirus B19 Infection Studies (8 papers), Lymphoma Diagnosis and Treatment (7 papers), Polyomavirus and related diseases (5 papers), Immune Cell Function and Interaction (4 papers) and Oral microbiology and periodontitis research (4 papers). The work is most often cited by research in Periodontics (134 citations), Molecular Medicine (146 citations), Endocrinology (125 citations), Otorhinolaryngology (83 citations) and Oncology (452 citations). Choon‐Kook Sam has collaborated with scholars based in Malaysia, Singapore and United Kingdom. Frequent co-authors include Kok‐Gan Chan, Chong‐Lek Koh, Wai-Fong Yin, Umapati Prasad, Wai‐Fong Yin, Lawrence S. Young, Gerald Niedobitek, Kar‐Wai Hong, Sachin Krishnan Thekke Veettil and Li Tan. Their work appears in journals such as Sensors, International Journal of Cancer, Cancer Immunology Immunotherapy, Journal of Bacteriology and Journal of Medical Virology.

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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