Norman Lo

601 total citations
19 papers, 480 citations indexed

About

Norman Lo is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Norman Lo has authored 19 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Public Health, Environmental and Occupational Health and 5 papers in Molecular Biology. Recurrent topics in Norman Lo's work include Antibiotic Resistance in Bacteria (5 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Streptococcal Infections and Treatments (5 papers). Norman Lo is often cited by papers focused on Antibiotic Resistance in Bacteria (5 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Streptococcal Infections and Treatments (5 papers). Norman Lo collaborates with scholars based in Hong Kong, China and Sri Lanka. Norman Lo's co-authors include Margaret Ip, William Ka Kei Wu, Sunny H. Wong, Joseph J.�Y. Sung, Thomas N.Y. Kwong, K. T. Wong, Lidong Yang, Li Zhang, Yabin Zhang and Kai Fung Chan and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Norman Lo

19 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Norman Lo Hong Kong 12 175 163 89 85 80 19 480
Qi Ni China 15 26 0.1× 60 0.4× 25 0.3× 61 0.7× 122 1.5× 43 491
Sukantha Chandrasekaran United States 15 23 0.1× 68 0.4× 65 0.7× 15 0.2× 120 1.5× 30 536
In Soo Lee South Korea 19 22 0.1× 200 1.2× 62 0.7× 6 0.1× 319 4.0× 73 1.2k
Akira Iwamoto Japan 12 24 0.1× 23 0.1× 64 0.7× 4 0.0× 258 3.2× 29 641
Jinghua Yang China 14 5 0.0× 30 0.2× 10 0.1× 21 0.2× 233 2.9× 42 642
Yuta Kinoshita Japan 17 4 0.0× 33 0.2× 34 0.4× 14 0.2× 367 4.6× 72 984
W. H. Hsieh Taiwan 11 7 0.0× 38 0.2× 20 0.2× 45 0.5× 123 1.5× 55 563
Taewon Jung South Korea 12 10 0.1× 55 0.3× 22 0.2× 7 0.1× 11 0.1× 20 437
Svetlana A. Ermolaeva Russia 17 5 0.0× 111 0.7× 28 0.3× 4 0.0× 288 3.6× 109 1.2k
Kozue Miura Japan 13 4 0.0× 47 0.3× 15 0.2× 109 1.3× 73 0.9× 34 434

Countries citing papers authored by Norman Lo

Since Specialization
Citations

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

Fields of papers citing papers by Norman Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norman Lo

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

All Works

19 of 19 papers shown
1.
Li, Carmen, Veranja Liyanapathirana, Chendi Zhu, et al.. (2022). Colonization of Group B Streptococcus in Pregnant Women and Their Neonates from a Sri Lankan Hospital. Pathogens. 11(4). 386–386. 7 indexed citations
2.
Yang, Jun, Nilakshi Barua, Carmen Li, et al.. (2022). Rapid SARS-CoV-2 Variants Enzymatic Detection (SAVED) by CRISPR-Cas12a. Microbiology Spectrum. 10(6). e0326022–e0326022. 10 indexed citations
3.
Li, Carmen, Chendi Zhu, Yun Kit Yeoh, et al.. (2022). Prevalence and Characteristics of Streptococcus agalactiae from Freshwater Fish and Pork in Hong Kong Wet Markets. Antibiotics. 11(3). 397–397. 14 indexed citations
4.
Yang, Jun, Nilakshi Barua, Norman Lo, et al.. (2021). Chimeric crRNA improves CRISPR–Cas12a specificity in the N501Y mutation detection of Alpha, Beta, Gamma, and Mu variants of SARS-CoV-2. PLoS ONE. 16(12). e0261778–e0261778. 13 indexed citations
5.
Zhu, Chendi, Carmen Li, Christopher K.C. Lai, et al.. (2021). Longitudinal Genomic Characterization of Carbapenemase-producing Enterobacteriaceae (CPE) Reveals Changing Pattern of CPE Isolated in Hong Kong Hospitals. International Journal of Antimicrobial Agents. 58(5). 106430–106430. 8 indexed citations
6.
Yeung, May Pui Shan, William B. Goggins, Norman Lo, et al.. (2021). Genomic Epidemiology of Multidrug-Resistant Nontyphoidal Salmonella in Young Children Hospitalized for Gastroenteritis. Microbiology Spectrum. 9(1). e0024821–e0024821. 30 indexed citations
7.
Barua, Nilakshi, Lin Huang, Carmen Li, et al.. (2021). Comparative Study of Two-Dimensional (2D) vs. Three-Dimensional (3D) Organotypic Kertatinocyte-Fibroblast Skin Models for Staphylococcus aureus (MRSA) Infection. International Journal of Molecular Sciences. 23(1). 299–299. 20 indexed citations
8.
Rothen, Julian, Carmen Li, Norman Lo, et al.. (2020). A simple, rapid typing method for Streptococcus agalactiae based on ribosomal subunit proteins by MALDI-TOF MS. Scientific Reports. 10(1). 8788–8788. 4 indexed citations
9.
10.
11.
Zhang, Yabin, Lin Zhang, Lidong Yang, et al.. (2019). Real-time tracking of fluorescent magnetic spore–based microrobots for remote detection of C. diff toxins. Science Advances. 5(1). eaau9650–eaau9650. 212 indexed citations
12.
Huang, Chuan, Qing Pan, Joseph Lee, et al.. (2019). A Small RNA Transforms the Multidrug Resistance of Pseudomonas aeruginosa to Drug Susceptibility. Molecular Therapy — Nucleic Acids. 16. 218–228. 14 indexed citations
13.
Lo, Norman, et al.. (2018). Low cost automated whole smear microscopy screening system for detection of acid fast bacilli. PLoS ONE. 13(1). e0190988–e0190988. 17 indexed citations
14.
Zhu, Chendi, Veranja Liyanapathirana, Carmen Li, et al.. (2018). Characterizing Mobilized Virulence Factors and Multidrug Resistance Genes in Carbapenemase-Producing Klebsiella pneumoniae in a Sri Lankan Hospital. Frontiers in Microbiology. 9. 2044–2044. 18 indexed citations
15.
Lam, Hugh Simon, Kathy Yuen Yee Chan, Margaret Ip, et al.. (2016). Rapid Identification of Bacterial Antibiotic Resistance by qPCR in Infants with Gram-Negative Septicaemia: A Proof-of-Concept Study. Neonatology. 111(2). 145–152. 1 indexed citations
16.
Wong, Sunny H., Margaret Ip, Peter M. Hawkey, et al.. (2016). High morbidity and mortality of Clostridium difficile infection and its associations with ribotype 002 in Hong Kong. Journal of Infection. 73(2). 115–122. 26 indexed citations
17.
Lo, Norman, et al.. (2012). Increasing quinolone resistance and multidrug resistant isolates among Salmonella enterica in Hong Kong. Journal of Infection. 65(6). 528–540. 9 indexed citations
18.
Ling, J, et al.. (2000). Molecular Methods for the Epidemiological Typing of Salmonella enterica Serotype Typhi from Hong Kong and Vietnam. Journal of Clinical Microbiology. 38(1). 292–300. 28 indexed citations
19.
Ling, J, et al.. (1996). Emerging resistance in Salmonella enterica serotype Typhi in Hong Kong. International Journal of Antimicrobial Agents. 7(3). 161–166. 5 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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