Choon‐Kook Sam

1.8k total citations
47 papers, 1.4k citations indexed

About

Choon‐Kook Sam is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Choon‐Kook Sam has authored 47 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 19 papers in Molecular Biology and 14 papers in Genetics. Recurrent topics in Choon‐Kook Sam's work include Viral-associated cancers and disorders (20 papers), Bacterial biofilms and quorum sensing (12 papers) and Parvovirus B19 Infection Studies (9 papers). Choon‐Kook Sam is often cited by papers focused on Viral-associated cancers and disorders (20 papers), Bacterial biofilms and quorum sensing (12 papers) and Parvovirus B19 Infection Studies (9 papers). Choon‐Kook Sam collaborates with scholars based in Malaysia, Singapore and United Kingdom. Choon‐Kook Sam's co-authors include Kok‐Gan Chan, Chong‐Lek Koh, Wai-Fong Yin, U. Prasad, Wai‐Fong Yin, Gerald Niedobitek, Lawrence S. Young, Kar‐Wai Hong, Li Tan and Thiba Krishnan and has published in prestigious journals such as Journal of Bacteriology, Journal of Clinical Microbiology and International Journal of Cancer.

In The Last Decade

Choon‐Kook Sam

47 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Choon‐Kook Sam Malaysia 21 654 469 213 159 157 47 1.4k
Shih‐Tung Liu Taiwan 22 395 0.6× 534 1.1× 360 1.7× 144 0.9× 106 0.7× 50 1.5k
Åsa Karlsson Sweden 20 1.0k 1.6× 386 0.8× 499 2.3× 296 1.9× 130 0.8× 45 2.3k
Soh Ha Chan Singapore 23 259 0.4× 401 0.9× 175 0.8× 121 0.8× 584 3.7× 51 1.4k
Maria Lynch United States 19 371 0.6× 313 0.7× 498 2.3× 143 0.9× 226 1.4× 26 1.3k
Howard Brickner United States 18 1.0k 1.6× 290 0.6× 234 1.1× 168 1.1× 155 1.0× 31 1.5k
Téngfēi Zhāng China 24 382 0.6× 341 0.7× 309 1.5× 115 0.7× 236 1.5× 69 1.5k
Yongqiang Zhu China 18 714 1.1× 279 0.6× 288 1.4× 132 0.8× 92 0.6× 33 1.4k
Hafida Fsihi France 13 549 0.8× 185 0.4× 127 0.6× 190 1.2× 233 1.5× 18 1.0k
Abby L. Geis United States 9 988 1.5× 438 0.9× 266 1.2× 107 0.7× 126 0.8× 13 1.4k
Stefan Homburg Germany 6 883 1.4× 202 0.4× 169 0.8× 252 1.6× 70 0.4× 6 1.2k

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-authorship network of co-authors of Choon‐Kook Sam

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

All Works

20 of 20 papers shown
1.
How, Kah Yan, Kar‐Wai Hong, Choon‐Kook Sam, et al.. (2015). Unravelling the genome of long chain N-acylhomoserine lactone-producing Acinetobacter sp. strain GG2 and identification of its quorum sensing synthase gene. Frontiers in Microbiology. 6. 240–240. 15 indexed citations
2.
Chen, Jian, Chong‐Lek Koh, Choon‐Kook Sam, Wai‐Fong Yin, & Kok‐Gan Chan. (2013). Short Chain N-acyl Homoserine Lactone Production by Soil Isolate Burkholderia sp. Strain A9. Sensors. 13(10). 13217–13227. 34 indexed citations
3.
Yin, Wai‐Fong, et al.. (2012). Characterization of wetland quorum quenching Pseudomonas aeruginosa strain 2SW8 and its 2-heptyl-3-hydroxy-4-quinolone production.. PubMed. 35(1). 43–51. 6 indexed citations
4.
Mushiroda, Taisei, Kazuma Kiyotani, Lee Fah Yap, et al.. (2011). Identification of a functional variant in SPLUNC1 associated with nasopharyngeal carcinoma susceptibility among Malaysian Chinese. Molecular Carcinogenesis. 51(S1). E74–82. 9 indexed citations
5.
Yin, Wai‐Fong, et al.. (2011). Coexistence of quorum-quenching and quorum-sensing in tropical marine Pseudomonas aeruginosa strain MW3A. World Journal of Microbiology and Biotechnology. 28(2). 453–461. 34 indexed citations
6.
Chan, Kok‐Gan, Wai‐Fong Yin, Choon‐Kook Sam, & Chong‐Lek Koh. (2008). A novel medium for the isolation of N-acylhomoserine lactone-degrading bacteria. Journal of Industrial Microbiology & Biotechnology. 36(2). 247–251. 62 indexed citations
7.
8.
9.
Koh, Chong‐Lek, et al.. (1997). D1S80 (pMCT118) allele frequencies in a Malay population sample from Malaysia. International Journal of Legal Medicine. 110(1). 39–40. 5 indexed citations
10.
Cheng, Hwee‐Ming, et al.. (1994). A high incidence of serum IgG antibodies to the Epstein-Barr virus replication activator protein in nasopharyngeal carcinoma. Cancer Immunology Immunotherapy. 38(1). 68–70. 29 indexed citations
11.
Cheng, Hwee‐Ming, et al.. (1994). Serum IgA Cross-Reactivity between Glycine-Alanine Repeat Sequence of EBNA-1 and Keratin or Collagen in Nasopharyngeal Carcinoma. Clinical Immunology and Immunopathology. 71(2). 164–168. 2 indexed citations
12.
13.
Sam, Choon‐Kook, L. Brooks, Gerald Niedobitek, et al.. (1993). Analysis of epstein‐barr virus infection in nasopharyngeal biopsies from a group at high risk of nasopharyngeal carcinoma. International Journal of Cancer. 53(6). 957–962. 85 indexed citations
14.
Niedobitek, Gerald, Lawrence S. Young, Choon‐Kook Sam, et al.. (1992). Expression of Epstein-Barr virus genes and of lymphocyte activation molecules in undifferentiated nasopharyngeal carcinomas.. PubMed Central. 140(4). 879–87. 117 indexed citations
15.
Yao, Q. Y., Martin Rowe, Anthony J. Morgan, et al.. (1991). Salivary and serum IgA antibodies to the epstein—barr virus glycoprotein gp340: incidence and potential for virus neutralization. International Journal of Cancer. 48(1). 45–50. 40 indexed citations
16.
Sam, Choon‐Kook, et al.. (1990). Detection of Epstein-Barr virus DNA in nasopharyngeal carcinoma using a non-radioactive digoxigenin-labelled probe. Journal of Virological Methods. 27(3). 261–267. 10 indexed citations
17.
Cheng, Hwee‐Ming & Choon‐Kook Sam. (1990). Bacterial immunity and immunogenesis of normal human salivary IgA and serum IgG2 antiphospholipid autoantibody: a link?. Immunology Letters. 26(1). 7–10. 6 indexed citations
18.
Cheng, H. M., et al.. (1990). Serum and salivary IgA antibodies against a defined epitope of the Epstein‐Barr virus nuclear antigen (EBNA) are elevated in nasopharyngeal carcinoma. International Journal of Cancer. 45(6). 1061–1064. 42 indexed citations
19.
Thoe, Su Yun Se, Choon‐Kook Sam, H. M. Cheng, & U. Prasad. (1989). Improved Sensitivity of Detection by Avidin—Biotin Complex (ABC) Immunocytochemistry in Epstein‐Barr Virus Serology. Journal of Medical Virology. 29(4). 311–314. 4 indexed citations
20.
Cheng, Hwee‐Ming, Yun Fong Ngeow, & Choon‐Kook Sam. (1989). Heat inactivation of serum potentiates anti-cardiolipin antibody binding in ELISA. Journal of Immunological Methods. 124(2). 235–238. 19 indexed citations

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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