Learn−Han Lee
- Endocrinology top 0.1%
- Vibrio bacteria research studies 24
- Biotechnology top 0.1%
- Enzyme Production and Characterization 22
- Molecular Medicine top 0.5%
- Pharmacology top 0.2%
- Microbial Natural Products and Biosynthesis 53
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- Genomics and Phylogenetic Studies 46
- Gut microbiota and health 27
- Identification and Quantification in Food 20
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- Aquaculture disease management and microbiota 23
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- Phytochemicals and Antioxidant Activities 17
- Co-authors
- Kok‐Gan ChanBey Hing GohNurul‐Syakima Ab MutalibVengadesh LetchumananLoh Teng‐Hern TanJodi Woan‐Fei LawPriyia PusparajahHooi‐Leng Ser
In The Last Decade
Learn−Han Lee
299 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Endocrinology 1.7k
- Biotechnology 1.6k
- Applied Microbiology and Biotechnology 281
- Molecular Medicine 679
- Pharmacology 2.3k
Countries citing papers authored by Learn−Han Lee
This map shows the geographic impact of Learn−Han 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 Learn−Han Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Learn−Han Lee more than expected).
Fields of papers citing papers by Learn−Han Lee
This network shows the impact of papers produced by Learn−Han 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 Learn−Han Lee. The network helps show where Learn−Han Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Learn−Han 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 8 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 21 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 26 | |
| 16 | 2023 | 21 | |
| 17 | 2023 | 15 | |
| 18 | 2023 | 39 | |
| 19 | 2022 | 13 | |
| 20 | 2021 | 1 |
About Learn−Han Lee
Learn−Han Lee is a scholar working on Endocrinology, Biotechnology, Applied Microbiology and Biotechnology, Pharmacology and Biochemistry, having authored 304 papers that have together received 12.3k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (53 papers), Genomics and Phylogenetic Studies (46 papers), Gut microbiota and health (27 papers), Vibrio bacteria research studies (24 papers), Aquaculture disease management and microbiota (23 papers), Enzyme Production and Characterization (22 papers), Identification and Quantification in Food (20 papers) and Phytochemicals and Antioxidant Activities (17 papers). The work is most often cited by research in Endocrinology (1.7k citations), Biotechnology (1.6k citations), Applied Microbiology and Biotechnology (281 citations), Molecular Medicine (679 citations) and Pharmacology (2.3k citations). Learn−Han Lee has collaborated with scholars based in Malaysia, China and Thailand. Frequent co-authors include Kok‐Gan Chan, Bey Hing Goh, Nurul‐Syakima Ab Mutalib, Vengadesh Letchumanan, Loh Teng‐Hern Tan, Jodi Woan‐Fei Law, Priyia Pusparajah, Hooi‐Leng Ser, Tahir Mehmood Khan and Lay‐Hong Chuah. Their work appears in journals such as Frontiers in Microbiology, Frontiers in Pharmacology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Nutrients and Scientific Reports.
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.