Kim-Chung Lee

410 total citations
8 papers, 318 citations indexed

About

Kim-Chung Lee is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Kim-Chung Lee has authored 8 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Molecular Biology and 2 papers in Infectious Diseases. Recurrent topics in Kim-Chung Lee's work include Metabolomics and Mass Spectrometry Studies (2 papers), Antifungal resistance and susceptibility (2 papers) and Plant Pathogens and Fungal Diseases (2 papers). Kim-Chung Lee is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (2 papers), Antifungal resistance and susceptibility (2 papers) and Plant Pathogens and Fungal Diseases (2 papers). Kim-Chung Lee collaborates with scholars based in Hong Kong and China. Kim-Chung Lee's co-authors include Kwok‐Yung Yuen, Susanna K. P. Lau, Ching-Wan Lam, Patrick C. Y. Woo, Kong‐Hung Sze, Emily W. T. Tam, Kelvin Kai‐Wang To, Chun Yiu Law, Jonathan Hon-Kwan Chen and Antonio H. Y. Ngan and has published in prestigious journals such as Scientific Reports, Journal of Clinical Microbiology and Clinica Chimica Acta.

In The Last Decade

Kim-Chung Lee

8 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kim-Chung Lee Hong Kong	8	112	104	77	76	68	8	318
Ching-Wan Lam Hong Kong	10	107 1.0×	108 1.0×	88 1.1×	94 1.2×	85 1.3×	13	366
Hye-Jin Kim South Korea	12	94 0.8×	135 1.3×	20 0.3×	112 1.5×	37 0.5×	25	338
Ken T. K. Chong Hong Kong	10	173 1.5×	93 0.9×	122 1.6×	157 2.1×	121 1.8×	12	347
Teppei Arai Japan	11	135 1.2×	53 0.5×	53 0.7×	210 2.8×	58 0.9×	24	323
Simone Schneider Weber Brazil	10	116 1.0×	79 0.8×	40 0.5×	108 1.4×	52 0.8×	34	282
Hoda Jradi Saudi Arabia	6	134 1.2×	116 1.1×	32 0.4×	153 2.0×	56 0.8×	9	382
Tsokyi Choera United States	7	51 0.5×	115 1.1×	29 0.4×	76 1.0×	82 1.2×	9	287
Ming-Jie Xiang China	10	206 1.8×	91 0.9×	32 0.4×	268 3.5×	27 0.4×	18	494
Clara Baldin Austria	9	161 1.4×	147 1.4×	47 0.6×	312 4.1×	88 1.3×	19	466
José P. Guirao-Abad Spain	11	78 0.7×	133 1.3×	27 0.4×	124 1.6×	66 1.0×	21	310

Countries citing papers authored by Kim-Chung Lee

Since Specialization

Citations

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

Fields of papers citing papers by Kim-Chung Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim-Chung Lee. 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 Kim-Chung Lee. The network helps show where Kim-Chung Lee may publish in the future.

Co-authorship network of co-authors of Kim-Chung Lee

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

All Works

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8 of 8 papers shown

To, Kelvin Kai‐Wang, Kim-Chung Lee, Samson S. Y. Wong, et al.. (2016). Lipid metabolites as potential diagnostic and prognostic biomarkers for acute community acquired pneumonia. Diagnostic Microbiology and Infectious Disease. 85(2). 249–254. 44 indexed citations

Tsang, Chi‐Ching, Kim-Chung Lee, Jonathan Hon-Kwan Chen, et al.. (2015). Genetic diversity of Aspergillus species isolated from onychomycosis and Aspergillus hongkongensis sp. nov., with implications to antifungal susceptibility testing. Diagnostic Microbiology and Infectious Disease. 84(2). 125–134. 40 indexed citations

To, Kelvin Kai‐Wang, Kim-Chung Lee, Samson S. Y. Wong, et al.. (2015). Lipid mediators of inflammation as novel plasma biomarkers to identify patients with bacteremia. Journal of Infection. 70(5). 433–444. 31 indexed citations

Woo, Patrick C. Y., Ching-Wan Lam, Emily W. T. Tam, et al.. (2014). The biosynthetic pathway for a thousand-year-old natural food colorant and citrinin in Penicillium marneffei. Scientific Reports. 4(1). 6728–6728. 61 indexed citations

Lam, Ching‐Wan, Chun Yiu Law, Kelvin Kai‐Wang To, et al.. (2014). NMR-based metabolomic urinalysis: A rapid screening test for urinary tract infection. Clinica Chimica Acta. 436. 217–223. 41 indexed citations

Tam, Emily W. T., Jonathan Hon-Kwan Chen, Antonio H. Y. Ngan, et al.. (2014). Misidentification of Aspergillus nomius and Aspergillus tamarii as Aspergillus flavus: Characterization by Internal Transcribed Spacer, β-Tubulin, and Calmodulin Gene Sequencing, Metabolic Fingerprinting, and Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry. Journal of Clinical Microbiology. 52(4). 1153–1160. 74 indexed citations

Tse, Herman, Ching-Wan Lam, Kim-Chung Lee, et al.. (2012). Production of 2-Aminophenoxazin-3-one by Staphylococcus aureus Causes False-Positive Results in β-Galactosidase Assays. Journal of Clinical Microbiology. 50(11). 3780–3782. 9 indexed citations

To, Kelvin Kai‐Wang, Ami M. Y. Fung, Jade L. L. Teng, et al.. (2012). Characterization of a Tsukamurella Pseudo-Outbreak by Phenotypic Tests, 16S rRNA Sequencing, Pulsed-Field Gel Electrophoresis, and Metabolic Footprinting. Journal of Clinical Microbiology. 51(1). 334–338. 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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