Sun Hi Lee

757 citations
30 papers · 545 · h-index 13

Impact in

    • GABA and Rice Research
    • Postharvest Quality and Shelf Life Management
    • Plant Stress Responses and Tolerance

Papers in

    • Polyamine Metabolism and Applications 9
    • Plant Gene Expression Analysis 4
    • Plant tissue culture and regeneration 4
    • GABA and Rice Research 6
    • Postharvest Quality and Shelf Life Management 3

Sun Hi Lee

30 papers receiving 521 citations

Peers

Sun Hi Lee
Comparison fields: 5 of 49
  • Plant Science 258
  • Biochemistry 38
  • Molecular Biology 350
  • Transplantation 5
  • Biomedical Engineering 90
Replace Shaikh M. Rahman with:
Shaikh M. Rahman United States
C. Falcone Italy
S. Ferrero Italy
Ming-Kai Chern Taiwan
Sophia Su United States
R. Jiang China
Anke Gehringer Germany
Csilla Németh Hungary
Xinping Du China
Zeyuan Zhang United States
Sun Hi Lee relative to Shaikh M. Rahman United States Shaikh M. Rahman's profile →
Citations per field
00.5×10×15×19×
Shaikh M. Rahman · 1×
Citations per year

Countries citing papers authored by Sun Hi Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sun Hi Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sun Hi 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 Sun Hi Lee Line = papers co-authored together Sun Hi Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199896
2 199768
3 200759
4 200046
5 200141
6 199739
7 200531
8 199429
9 200524
10 202121
11 200417
12 201314
13 199112
14 20026
15 19985
16 20014
17 20054
18 20233
19 19973
20 19973

About Sun Hi Lee

Sun Hi Lee is a scholar working on Molecular Biology, Plant Science, Surgery, Biochemistry and Biotechnology, having authored 30 papers that have together received 545 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (9 papers), GABA and Rice Research (6 papers), Transplantation: Methods and Outcomes (5 papers), Plant Gene Expression Analysis (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Plant tissue culture and regeneration (4 papers), Postharvest Quality and Shelf Life Management (3 papers) and Biochemical and biochemical processes (3 papers). The work is most often cited by research in Plant Science (258 citations), Biochemistry (38 citations), Molecular Biology (350 citations), Transplantation (5 citations) and Biomedical Engineering (90 citations). Sun Hi Lee has collaborated with scholars based in South Korea and United States. Frequent co-authors include Ky Young Park, Myeong Min Lee, Donna Mancini, Nicolai M. Doliba, Mary D. Osbakken, Mehmet C. Öz, Dong-Gwan Kim, Kwang Suk Chang, Evelyn M. Horn and Yoshifumi Naka. Their work appears in journals such as Clinical Transplantation, Plant and Cell Physiology, Physiologia Plantarum, Journal of Plant Physiology and The Plant Journal.

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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