Won-Heong Lee
Impact in
- Nutrition and Dietetics top 5%
- Infant Nutrition and Health
- Biochemistry top 10%
- Biochemical Acid Research Studies
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 10
- Glycosylation and Glycoproteins Research 4
-
- Biofuel production and bioconversion 7
- Co-authors
- Jin‐Ho Seo (10 shared papers)Myoung‐Dong Kim (8 shared papers)Young‐Wook Chin (2 shared papers)Nam Soo Han (6 shared papers)Yong‐Cheol Park (3 shared papers)Ji‐Yeong Kim (1 shared paper)Kyungmoon Park (2 shared papers)Eun‐Hee Park (3 shared papers)
- Journals
- Applied Microbiology and Biotechnology (6 papers)Energies (2 papers)Bioresource Technology (2 papers)Journal of Biotechnology (2 papers)Applied Biochemistry and Biotechnology (1 paper)
- Partner nations
- South KoreaVietnamUnited States
In The Last Decade
Won-Heong Lee
27 papers receiving 525 citations
Peers
Comparison fields: 5 of 62
- Nutrition and Dietetics 198
- Biochemistry 75
- Endocrinology 30
- Biotechnology 48
- Genetics 137
Countries citing papers authored by Won-Heong Lee
This map shows the geographic impact of Won-Heong 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 Won-Heong Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won-Heong Lee more than expected).
Fields of papers citing papers by Won-Heong Lee
This network shows the impact of papers produced by Won-Heong 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 Won-Heong Lee. The network helps show where Won-Heong Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Won-Heong Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 86 | |
| 2 | 2004 | 72 | |
| 3 | 2011 | 52 | |
| 4 | 2009 | 46 | |
| 5 | 2012 | 44 | |
| 6 | 2018 | 35 | |
| 7 | 2006 | 33 | |
| 8 | 2011 | 30 | |
| 9 | 2022 | 25 | |
| 10 | 2009 | 23 | |
| 11 | 2020 | 16 | |
| 12 | 2005 | 15 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 7 | |
| 15 | 2014 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2019 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2010 | 3 |
About Won-Heong Lee
Won-Heong Lee is a scholar working on Molecular Biology, Biomedical Engineering, Genetics, Biochemistry and Nutrition and Dietetics, having authored 29 papers that have together received 533 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (10 papers), Biofuel production and bioconversion (7 papers), Glycosylation and Glycoproteins Research (4 papers), Infant Nutrition and Health (4 papers), Microbial Fuel Cells and Bioremediation (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Algal biology and biofuel production (3 papers) and Digestive system and related health (3 papers). The work is most often cited by research in Nutrition and Dietetics (198 citations), Biochemistry (75 citations), Endocrinology (30 citations), Biotechnology (48 citations) and Genetics (137 citations). Won-Heong Lee has collaborated with scholars based in South Korea, Vietnam and United States. Frequent co-authors include Jin‐Ho Seo, Myoung‐Dong Kim, Young‐Wook Chin, Nam Soo Han, Yong‐Cheol Park, Ji‐Yeong Kim, Kyungmoon Park, Eun‐Hee Park, Soo-Jung Kim and Young-Ju Lee. Their work appears in journals such as Applied Microbiology and Biotechnology, Energies, Bioresource Technology, Journal of Biotechnology and Applied Biochemistry and Biotechnology.
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.