Sang‐Uk Lee

1.8k total citations
43 papers, 1.3k citations indexed

About

Sang‐Uk Lee is a scholar working on Plant Science, Molecular Biology and Biomaterials. According to data from OpenAlex, Sang‐Uk Lee has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 14 papers in Molecular Biology and 6 papers in Biomaterials. Recurrent topics in Sang‐Uk Lee's work include Plant Stress Responses and Tolerance (22 papers), Plant-Microbe Interactions and Immunity (10 papers) and Plant Molecular Biology Research (9 papers). Sang‐Uk Lee is often cited by papers focused on Plant Stress Responses and Tolerance (22 papers), Plant-Microbe Interactions and Immunity (10 papers) and Plant Molecular Biology Research (9 papers). Sang‐Uk Lee collaborates with scholars based in South Korea, Pakistan and Oman. Sang‐Uk Lee's co-authors include Byung‐Wook Yun, Bong‐Gyu Mun, Adil Hussain, Qari Muhammad Imran, In‐Jung Lee, Muhammad Shahid, Gary J. Loake, Raheem Shahzad, Dong Yeol Lee and Sang‐Mo Kang and has published in prestigious journals such as PLoS ONE, Scientific Reports and New Phytologist.

In The Last Decade

Sang‐Uk Lee

42 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang‐Uk Lee South Korea 19 1.0k 453 40 40 39 43 1.3k
Adam Jóźwiak Poland 18 558 0.6× 498 1.1× 27 0.7× 31 0.8× 44 1.1× 36 1.1k
Duoyong Lang China 19 951 0.9× 293 0.6× 85 2.1× 52 1.3× 56 1.4× 35 1.2k
Hai Lu China 21 1.1k 1.1× 848 1.9× 47 1.2× 55 1.4× 54 1.4× 70 1.6k
Abid Khan China 22 1.2k 1.2× 728 1.6× 18 0.5× 64 1.6× 39 1.0× 66 1.5k
Abinaya Manivannan South Korea 19 1.1k 1.1× 388 0.9× 15 0.4× 21 0.5× 36 0.9× 38 1.3k
Kamel Chibani France 19 1.1k 1.1× 757 1.7× 11 0.3× 56 1.4× 51 1.3× 24 1.6k
Daymi Camejo Spain 23 1.7k 1.6× 804 1.8× 20 0.5× 57 1.4× 57 1.5× 35 2.0k
Mingfang Qi China 29 1.9k 1.8× 1.0k 2.3× 19 0.5× 52 1.3× 75 1.9× 120 2.2k
Ying Gai China 18 1.0k 1.0× 725 1.6× 13 0.3× 45 1.1× 88 2.3× 53 1.4k
Youxin Yang China 21 1.3k 1.3× 575 1.3× 70 1.8× 102 2.5× 53 1.4× 61 1.5k

Countries citing papers authored by Sang‐Uk Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Uk Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang‐Uk Lee

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

All Works

20 of 20 papers shown
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Azzawi, Tiba Nazar Ibrahim Al, Murtaza Khan, Adil Hussain, et al.. (2020). Evaluation of Iraqi Rice Cultivars for Their Tolerance to Drought Stress. Agronomy. 10(11). 1782–1782. 26 indexed citations
4.
Mun, Bong‐Gyu, Qari Muhammad Imran, Adil Hussain, et al.. (2019). Differential expression of AtWAKL10 in response to nitric oxide suggests a putative role in biotic and abiotic stress responses. PeerJ. 7. e7383–e7383. 26 indexed citations
5.
Imran, Qari Muhammad, Sang‐Uk Lee, Bong‐Gyu Mun, et al.. (2019). WRKYs, the Jack-of-various-Trades, Modulate Dehydration Stress in Populus davidiana—A Transcriptomic Approach. International Journal of Molecular Sciences. 20(2). 414–414. 6 indexed citations
6.
Kabange, Nkulu Rolly, Sang‐Uk Lee, Qari Muhammad Imran, et al.. (2019). Nitrosative stress-mediated inhibition of OsDHODH1 gene expression suggests roots growth reduction in rice (Oryza sativa L.). 3 Biotech. 9(7). 273–273. 13 indexed citations
7.
Khan, Muhammad Aaqil, Abdul Latif Khan, Qari Muhammad Imran, et al.. (2019). Exogenous application of nitric oxide donors regulates short-term flooding stress in soybean. PeerJ. 7. e7741–e7741. 22 indexed citations
8.
Shahid, Muhammad, Qari Muhammad Imran, Adil Hussain, et al.. (2019). Comprehensive Analyses of Nitric Oxide-Induced Plant Stem Cell-Related Genes in Arabidopsis thaliana. Genes. 10(3). 190–190. 17 indexed citations
9.
Mun, Bong‐Gyu, et al.. (2018). Exogenously Applied Nitric Oxide Enhances Salt Tolerance in Rice (Oryza sativa L.) at Seedling Stage. Agronomy. 8(12). 276–276. 34 indexed citations
10.
Imran, Qari Muhammad, Adil Hussain, Sang‐Uk Lee, et al.. (2018). Transcriptome profile of NO-induced Arabidopsis transcription factor genes suggests their putative regulatory role in multiple biological processes. Scientific Reports. 8(1). 771–771. 53 indexed citations
11.
Park, Yeon-Gyeong, Bong‐Gyu Mun, Sang‐Mo Kang, et al.. (2017). Bacillus aryabhattai SRB02 tolerates oxidative and nitrosative stress and promotes the growth of soybean by modulating the production of phytohormones. PLoS ONE. 12(3). e0173203–e0173203. 219 indexed citations
12.
Mun, Bong‐Gyu, Sang‐Uk Lee, Eung‐Jun Park, et al.. (2017). Analysis of transcription factors among differentially expressed genes induced by drought stress in Populus davidiana. 3 Biotech. 7(3). 209–209. 34 indexed citations
13.
Sharma, Arti, Adil Hussain, Bong‐Gyu Mun, et al.. (2016). Comprehensive analysis of plant rapid alkalization factor (RALF) genes. Plant Physiology and Biochemistry. 106. 82–90. 53 indexed citations
14.
Lee, Sang‐Uk, et al.. (2013). Feasibility Study for Detection of Turnip yellow mosaic virus (TYMV) Infection of Chinese Cabbage Plants Using Raman Spectroscopy. The Plant Pathology Journal. 29(1). 105–109. 18 indexed citations
15.
Kim, Jeongkon, et al.. (2008). Development of Turbid Water Prediction Model for the Imha Dam Watershed using HSPF. Journal of Korean Society of Environmental Engineers. 30(8). 760–767. 4 indexed citations
16.
Lee, Sang‐Uk, Young Soon Kim, Kee‐Young Kim, et al.. (2007). Breeding of New Silkworm Variety Golden silk, a Yellow Cocoon Color for Spring Rearing Season. 49(1). 14–17. 8 indexed citations
17.
Kang, Pil Don, et al.. (2004). Breeding of a New Silkworm Variety, Kumhwangjam, with a Sex-Limited Cocoon Color for Spring Rearing Season. International Journal of Industrial Entomology. 9(1). 89–93. 3 indexed citations
18.
Lee, Sang‐Uk, et al.. (2003). Breeding of a New Silkworm Variety, Chugangjam, with a Sex-Limited Larval Marking and High Silk Yielding for Summer-Autumn Rearing Season. International Journal of Industrial Entomology. 6(1). 57–61. 2 indexed citations
19.
Kim, Hyun Su, et al.. (2002). Examination of Genetic Relationships of Silkworm Stocks in Korea by Additive Isozyme Analysis. International Journal of Industrial Entomology. 5(2). 205–211. 2 indexed citations
20.
Lee, Sang‐Uk, et al.. (2001). Breeding ova New Silkworm Variety, Chunsujam, with a High Silk Yielding for Spring Rearing Season. International Journal of Industrial Entomology. 2(1). 65–68. 4 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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