Chit Laa Poh

6.9k total citations · 2 hit papers
170 papers, 5.3k citations indexed

About

Chit Laa Poh is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Infectious Diseases. According to data from OpenAlex, Chit Laa Poh has authored 170 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 53 papers in Cardiology and Cardiovascular Medicine and 48 papers in Infectious Diseases. Recurrent topics in Chit Laa Poh's work include Viral Infections and Immunology Research (53 papers), Viral gastroenteritis research and epidemiology (28 papers) and Animal Disease Management and Epidemiology (24 papers). Chit Laa Poh is often cited by papers focused on Viral Infections and Immunology Research (53 papers), Viral gastroenteritis research and epidemiology (28 papers) and Animal Disease Management and Epidemiology (24 papers). Chit Laa Poh collaborates with scholars based in Malaysia, Singapore and Australia. Chit Laa Poh's co-authors include Vincent Chow, Noraini Abd-Aziz, Salima Lalani, Chew Chieng Yeo, Meng Chee Phoon, Sylvie Alonso, Damian Guang Wei Foo, Kanwal Khalid, Mohd Ishtiaq Anasir and Hui Xuan Lim and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Chit Laa Poh

166 papers receiving 5.2k citations

Hit Papers

miRNA: A Promising Therapeutic Target in Cancer 2022 2026 2023 2024 2022 2025 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chit Laa Poh Malaysia 42 2.2k 1.6k 1.6k 770 746 170 5.3k
Anchun Cheng China 37 1.6k 0.7× 1.3k 0.8× 1.6k 1.0× 462 0.6× 1.5k 2.0× 440 6.3k
Konstantin Chumakov United States 39 1.6k 0.7× 2.0k 1.2× 2.2k 1.4× 352 0.5× 934 1.3× 173 4.9k
Ying Wu China 32 1.0k 0.5× 540 0.3× 2.3k 1.5× 421 0.5× 1.4k 1.8× 247 4.8k
Weihuan Fang China 37 1.4k 0.6× 388 0.2× 805 0.5× 435 0.6× 342 0.5× 210 4.6k
Changsun Choi South Korea 41 1.5k 0.7× 492 0.3× 2.0k 1.3× 246 0.3× 356 0.5× 241 6.1k
Nigel Cook United Kingdom 37 1.4k 0.7× 373 0.2× 2.0k 1.3× 313 0.4× 428 0.6× 88 5.9k
Dong Wook Kim South Korea 39 2.0k 0.9× 427 0.3× 841 0.5× 64 0.1× 710 1.0× 131 4.9k
Baik Lin Seong South Korea 40 2.1k 1.0× 231 0.1× 845 0.5× 190 0.2× 1.7k 2.3× 168 4.8k
Justin Jang Hann Chu Singapore 44 1.5k 0.7× 600 0.4× 2.5k 1.6× 172 0.2× 721 1.0× 186 5.9k
Seung‐Yong Park South Korea 35 860 0.4× 154 0.1× 1.3k 0.8× 419 0.5× 887 1.2× 177 4.1k

Countries citing papers authored by Chit Laa Poh

Since Specialization
Citations

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

Fields of papers citing papers by Chit Laa Poh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chit Laa Poh. 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 Chit Laa Poh. The network helps show where Chit Laa Poh may publish in the future.

Co-authorship network of co-authors of Chit Laa Poh

This figure shows the co-authorship network connecting the top 25 collaborators of Chit Laa Poh. A scholar is included among the top collaborators of Chit Laa Poh 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 Chit Laa Poh. Chit Laa Poh 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.
Leong, Kam W., et al.. (2025). Revolutionizing immunization: a comprehensive review of mRNA vaccine technology and applications. Virology Journal. 22(1). 71–71. 24 indexed citations breakdown →
2.
Khalid, Kanwal, Hui Xuan Lim, Jung Shan Hwang, & Chit Laa Poh. (2024). The Development of Epitope-Based Recombinant Protein Vaccines against SARS-CoV-2. The AAPS Journal. 26(5). 93–93. 1 indexed citations
3.
Ming, Long Chiau, et al.. (2024). Current status of the development of dengue vaccines. Vaccine X. 22. 100604–100604. 13 indexed citations
4.
Khalid, Kanwal & Chit Laa Poh. (2023). The development of DNA vaccines against SARS-CoV-2. Advances in Medical Sciences. 68(2). 213–226. 17 indexed citations
5.
Abd-Aziz, Noraini, et al.. (2023). Antiviral activity of SP81 peptide against Enterovirus A71 (EV-A71). Virology. 589. 109941–109941. 2 indexed citations
6.
Khalid, Kanwal, et al.. (2023). Development of Next Generation Vaccines against SARS-CoV-2 and Variants of Concern. Viruses. 15(3). 624–624. 13 indexed citations
7.
Wu, Yuan Seng, et al.. (2023). Molecular Mechanisms of Antiviral Agents against Dengue Virus. Viruses. 15(3). 705–705. 57 indexed citations
8.
Poh, Chit Laa, et al.. (2019). The Conserved Molecular Determinants of Virulence in Dengue Virus. International Journal of Medical Sciences. 16(3). 355–365. 14 indexed citations
9.
Reginald, Kavita, et al.. (2018). Development of Peptide Vaccines in Dengue. Current Pharmaceutical Design. 24(11). 1157–1173. 33 indexed citations
10.
Poh, Chit Laa, et al.. (2018). T Cell Immunity To Enterovirus 71 Infection In Humans And Implications For Vaccine Development. International Journal of Medical Sciences. 15(11). 1143–1152. 9 indexed citations
11.
Tan, Kuan Onn, et al.. (2017). Characterization of significant molecular determinants of virulence of Enterovirus 71 sub-genotype B4 in Rhabdomyosarcoma cells. Virus Research. 238. 243–252. 3 indexed citations
12.
Poh, Chit Laa, et al.. (2017). Impact of genetic changes, pathogenicity and antigenicity on Enterovirus- A71 vaccine development. Virology. 506. 121–129. 21 indexed citations
13.
Tan, Chee Wah, et al.. (2012). Inhibition of Enterovirus 71 (EV-71) Infections by a Novel Antiviral Peptide Derived from EV-71 Capsid Protein VP1. PLoS ONE. 7(5). e34589–e34589. 43 indexed citations
14.
Poh, Chit Laa & Eng Lee Tan. (2010). Detection of Enteroviruses from Clinical Specimens. Methods in molecular biology. 665. 65–77. 3 indexed citations
15.
Foo, Damian Guang Wei, Paul A. MacAry, Sylvie Alonso, & Chit Laa Poh. (2008). Identification of Human CD4 + T-Cell Epitopes on the VP1 Capsid Protein of Enterovirus 71. Viral Immunology. 21(2). 215–224. 28 indexed citations
16.
Yeo, Chew Chieng, et al.. (2007). Characterization of hbzE-encoded gentisate 1,2-dioxygenase from Pseudomonas alcaligenes NCIMB 9867. Research in Microbiology. 158(7). 608–616. 14 indexed citations
17.
Tan, Eng Lee, Theresa May Chin Tan, Vincent Chow, & Chit Laa Poh. (2007). Inhibition of Enterovirus 71 in Virus-infected Mice by RNA Interference. Molecular Therapy. 15(11). 1931–1938. 42 indexed citations
18.
Yeo, Chew Chieng & Chit Laa Poh. (2006). Characterization of IS1474, an insertion sequence of the IS21 family isolated from Pseudomonas alcaligenes NCIB 9867. FEMS Microbiology Letters. 149(2). 257–263. 3 indexed citations
19.
20.
Assinder, Susan J., Paolo De Marco, David J. Osborne, et al.. (1993). A Comparison of the Multiple Alleles of xylS Carried by TOL Plasmids pWW53 and pDK1 and its Implications for their Evolutionary Relationship. Journal of General Microbiology. 139(3). 557–568. 18 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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