Hung Lee

161 papers receiving 5.9k citations

Hit Papers

Methods of studying soil microbial diversity 2004 · 568 citations
5682004202620112018100200300400500

Peers

Hung Lee
Comparison fields: 5 of 153
  • Pollution 1.7k
  • Health, Toxicology and Mutagenesis 792
  • Biotechnology 399
  • Biomedical Engineering 1.9k
  • Molecular Biology 2.3k
Replace Ian P. Thompson with:
Ian P. Thompson United Kingdom
Daniel R. Shelton United States
T.E. Cloete South Africa
Edward R. B. Moore Sweden
Zhiqiang Shen China
Akira Hiraishi Japan
Betty H. Olson United States
Richard I. Webb Australia
K. C. Marshall Australia
Seokhwan Hwang South Korea
Hung Lee relative to Ian P. Thompson United Kingdom Ian P. Thompson's profile →
Citations per field
00.5×1.6×
Ian P. Thompson · 1×
Citations per year

Countries citing papers authored by Hung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hung Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hung Lee Line = papers co-authored together Hung Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Methods of studying soil microbial diversity
Hit paper breakdown →
2004568
2 1992283
3 1988245
4 2004233
5 2005225
6 1996186
7 2007177
8 1994171
9 1993133
10 2005112
11 2005102
12 200393
13 198893
14 199289
15 199182
16 201481
17 199281
18 200080
19 200279
20 199474

About Hung Lee

Hung Lee is a scholar working on Pollution, Health, Toxicology and Mutagenesis, Parasitology, Biotechnology and Analytical Chemistry, having authored 163 papers that have together received 6.3k indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (39 papers), Biofuel production and bioconversion (28 papers), Toxic Organic Pollutants Impact (18 papers), Microbial Metabolic Engineering and Bioproduction (16 papers), Fungal and yeast genetics research (15 papers), Microbial Community Ecology and Physiology (14 papers), Pesticide and Herbicide Environmental Studies (13 papers) and Parasitic Infections and Diagnostics (11 papers). The work is most often cited by research in Pollution (1.7k citations), Health, Toxicology and Mutagenesis (792 citations), Biotechnology (399 citations), Biomedical Engineering (1.9k citations) and Molecular Biology (2.3k citations). Hung Lee has collaborated with scholars based in Canada, Thailand and United States. Frequent co-authors include J. T. Trevors, Jennifer L. Kirk, John N. Klironomos, Michele I. Van Dyke, Henry Schneider, Alan G. Seech, Byron C.H. Chu, Theresa M. Phillips, Peter Moutoglis and Lee A. Beaudette. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Microbiological Methods, Journal of Industrial Microbiology & Biotechnology, Journal of Chemical Technology & Biotechnology and FEMS Microbiology Ecology.

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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