W.H. Chung

434 total citations
9 papers, 397 citations indexed

About

W.H. Chung is a scholar working on Molecular Biology, Molecular Medicine and Pharmacology. According to data from OpenAlex, W.H. Chung has authored 9 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Molecular Medicine and 3 papers in Pharmacology. Recurrent topics in W.H. Chung's work include Antibiotic Resistance in Bacteria (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). W.H. Chung is often cited by papers focused on Antibiotic Resistance in Bacteria (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). W.H. Chung collaborates with scholars based in Hong Kong, China and Canada. W.H. Chung's co-authors include Kwok‐Yin Wong, Yun‐Chung Leung, Dik‐Lung Ma, Tat‐Shing Lai, Fung‐Yi Chan, Pui‐Kin So, Wing‐Leung Wong, Zhongyuan Zhou, Ruben Abagyan and Pak‐Ho Chan and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Analytical Chemistry.

In The Last Decade

W.H. Chung

9 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
W.H. Chung Hong Kong	7	209	153	96	67	65	9	397
Azin Saebi United States	5	286 1.4×	104 0.7×	42 0.4×	29 0.4×	209 3.2×	7	537
Özlem Dilek United States	9	157 0.8×	127 0.8×	70 0.7×	24 0.4×	143 2.2×	13	338
Marco Soto‐Arriaza Chile	14	267 1.3×	97 0.6×	26 0.3×	48 0.7×	103 1.6×	26	489
Andrew Stine United States	5	490 2.3×	52 0.3×	49 0.5×	23 0.3×	75 1.2×	7	621
Antoine Marion Germany	14	253 1.2×	96 0.6×	26 0.3×	21 0.3×	152 2.3×	29	495
Tania Chakrabarty United States	5	285 1.4×	39 0.3×	66 0.7×	22 0.3×	53 0.8×	5	459
Carmen Teijeiro Spain	15	324 1.6×	48 0.3×	82 0.9×	146 2.2×	75 1.2×	24	549
Saeedeh Negin United States	11	278 1.3×	110 0.7×	298 3.1×	43 0.6×	215 3.3×	22	598
Maral Aminpour Canada	11	155 0.7×	122 0.8×	13 0.1×	40 0.6×	87 1.3×	31	431
Roger G. Hanshaw United States	7	247 1.2×	83 0.5×	186 1.9×	25 0.4×	54 0.8×	8	435

Countries citing papers authored by W.H. Chung

Since Specialization

Citations

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

Fields of papers citing papers by W.H. Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.H. Chung. 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 W.H. Chung. The network helps show where W.H. Chung may publish in the future.

Co-authorship network of co-authors of W.H. Chung

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

All Works

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9 of 9 papers shown

1.

So, Pui‐Kin, et al.. (2023). Development of a bioengineered Erwinia chrysanthemi asparaginase to enhance its anti-solid tumor potential for treating gastric cancer. International Journal of Biological Macromolecules. 253(Pt 5). 127742–127742. 2 indexed citations

2.

So, Pui‐Kin, et al.. (2014). Fluorescent TEM-1 β-lactamase with wild-type activity as a rapid drug sensor for in vitro drug screening. Bioscience Reports. 34(5). 9 indexed citations

3.

Sheldon, Jessica R., et al.. (2012). Role of rpoS in Escherichia coli O157:H7 Strain H32 Biofilm Development and Survival. Applied and Environmental Microbiology. 78(23). 8331–8339. 19 indexed citations

4.

Zou, Lan, W.H. Chung, Yun‐Chung Leung, et al.. (2010). A Switch‐On Fluorescence Assay for Bacterial β‐Lactamases with Amyloid Fibrils as Fluorescence Enhancer and Visual Tool. Chemistry - A European Journal. 16(45). 13367–13371. 6 indexed citations

5.

Ma, Dik‐Lung, Wing‐Leung Wong, W.H. Chung, et al.. (2008). A Highly Selective Luminescent Switch‐On Probe for Histidine/Histidine‐Rich Proteins and Its Application in Protein Staining. Angewandte Chemie International Edition. 47(20). 3735–3739. 222 indexed citations

6.

Ma, Dik‐Lung, Tat‐Shing Lai, Fung‐Yi Chan, et al.. (2008). Discovery of a Drug‐Like G‐Quadruplex Binding Ligand by High‐Throughput Docking. ChemMedChem. 3(6). 881–884. 44 indexed citations

7.

Ma, Dik‐Lung, Wing‐Leung Wong, W.H. Chung, et al.. (2008). A Highly Selective Luminescent Switch‐On Probe for Histidine/Histidine‐Rich Proteins and Its Application in Protein Staining. Angewandte Chemie. 120(20). 3795–3799. 55 indexed citations

8.

Chan, Pak‐Ho, Pui‐Kin So, Dik‐Lung Ma, et al.. (2008). Fluorophore-Labeled β-Lactamase as a Biosensor for β-Lactam Antibiotics: A Study of the Biosensing Process. Journal of the American Chemical Society. 130(20). 6351–6361. 30 indexed citations

9.

Chan, Pak‐Ho, et al.. (2005). Fluorescein-Labeled β-Lactamase Mutant for High-Throughput Screening of Bacterial β-Lactamases against β-Lactam Antibiotics. Analytical Chemistry. 77(16). 5268–5276. 10 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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