Garam Lee

6.0k total citations · 9 hit papers
61 papers, 3.9k citations indexed

About

Garam Lee is a scholar working on Renewable Energy, Sustainability and the Environment, Molecular Biology and Physiology. According to data from OpenAlex, Garam Lee has authored 61 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Renewable Energy, Sustainability and the Environment, 11 papers in Molecular Biology and 11 papers in Physiology. Recurrent topics in Garam Lee's work include Solar-Powered Water Purification Methods (8 papers), Solar Thermal and Photovoltaic Systems (8 papers) and Cholinesterase and Neurodegenerative Diseases (8 papers). Garam Lee is often cited by papers focused on Solar-Powered Water Purification Methods (8 papers), Solar Thermal and Photovoltaic Systems (8 papers) and Cholinesterase and Neurodegenerative Diseases (8 papers). Garam Lee collaborates with scholars based in South Korea, United States and Indonesia. Garam Lee's co-authors include Jeffrey L. Cummings, Kate Zhong, Aaron Ritter, Jorge Ramón Fonseca Cacho, Marwan N. Sabbagh, Kazem Taghva, Feixiong Cheng, Yadi Zhou, Mina Esmail Zadeh Nojoo Kambar and Byung-Ju Lim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Garam Lee

56 papers receiving 3.8k citations

Hit Papers

Alzheimer's disease drug development pipeline: 2019 2017 2026 2020 2023 2019 2018 2022 2020 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Garam Lee South Korea 23 1.8k 1.1k 975 699 619 61 3.9k
Larisa Reyderman United States 24 2.2k 1.2× 1.2k 1.1× 817 0.8× 1.2k 1.8× 444 0.7× 107 5.2k
Michio Kanekiyo United States 12 1.8k 1.0× 707 0.7× 534 0.5× 1.1k 1.6× 343 0.6× 28 3.3k
Andrea Vergallo France 29 2.3k 1.2× 1.3k 1.2× 1.0k 1.0× 1.2k 1.8× 484 0.8× 79 4.8k
Kate Zhong United States 24 2.6k 1.4× 1.3k 1.2× 1.4k 1.4× 1.4k 2.0× 851 1.4× 35 5.4k
Marwan Sabbagh United States 9 1.9k 1.0× 731 0.7× 536 0.5× 1.2k 1.7× 360 0.6× 14 3.7k
Shobha Dhadda United States 25 2.6k 1.4× 893 0.8× 1.1k 1.1× 1.6k 2.3× 505 0.8× 70 5.4k
Lutz Froelich Germany 19 1.9k 1.0× 777 0.7× 569 0.6× 1.4k 2.0× 294 0.5× 54 3.9k
Aaron Ritter United States 15 1.2k 0.7× 556 0.5× 630 0.6× 544 0.8× 383 0.6× 44 2.4k
Lynn D. Kramer United States 21 2.4k 1.3× 927 0.9× 765 0.8× 2.1k 2.9× 447 0.7× 64 5.0k
Robert Lai United Kingdom 25 1.6k 0.9× 675 0.6× 614 0.6× 447 0.6× 327 0.5× 61 2.7k

Countries citing papers authored by Garam Lee

Since Specialization
Citations

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

Fields of papers citing papers by Garam Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garam Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Garam Lee. A scholar is included among the top collaborators of Garam 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 Garam Lee. Garam 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
1.
Farooq, M., Byung-Ju Lim, Sunghoon Cho, Garam Lee, & Chang-Dae Park. (2025). Experimental study on leakage detection method for solar thermal systems using dimensionless pressure indices. Renewable Energy. 256. 124202–124202.
2.
Lee, Garam, Byung-Ju Lim, Sunghoon Cho, et al.. (2025). Performance and economic analysis of solar-heat pump system for process steam supply in industrial sector. Energy Conversion and Management. 328. 119596–119596. 2 indexed citations
3.
Han, Soeun, Seung‐Chul Lee, Garam Lee, et al.. (2023). CPR5-mediated nucleo-cytoplasmic localization of IAA12 and IAA19 controls lateral root development during abiotic stress. Proceedings of the National Academy of Sciences. 120(3). e2209781120–e2209781120. 10 indexed citations
4.
5.
Lee, Garam, et al.. (2023). Establishment and Management of an Educational Outcome Cohort at the Keimyung University School of Medicine. Korean Medical Education Review. 25(2). 109–113.
6.
Lee, Garam, et al.. (2022). Toward Privacy-preserving Text Embedding Similarity with Homomorphic Encryption. 25–36. 4 indexed citations
7.
Li, Lingyong, Shaorui Chen, Menghua Zhou, et al.. (2021). α2δ-1 switches the phenotype of synaptic AMPA receptors by physically disrupting heteromeric subunit assembly. Cell Reports. 36(3). 109396–109396. 33 indexed citations
8.
Hwang, Dong‐Woon, et al.. (2021). Organic Matter and Heavy Metals Pollution Assessment of Surface Sediment from a Fish Farming Area in Tongyoung-Geoje Coast of Korea. Journal of the Korean Society of Marine Environment and Safety. 27(4). 510–520. 3 indexed citations
10.
Lee, Garam, et al.. (2020). Pollution Status of Surface Sediment in Jinju Bay, a Spraying Shellfish Farming Area, Korea. Journal of the Korean Society of Marine Environment and Safety. 26(4). 392–402. 6 indexed citations
11.
Carrillo, Elisa, Sana Shaikh, Vladimír Berka, et al.. (2019). Mechanism of modulation of AMPA receptors by TARP-γ8. The Journal of General Physiology. 152(1). 29 indexed citations
12.
Lee, Garam, Kwangsik Nho, Byungkon Kang, Kyung-Ah Sohn, & Dokyoon Kim. (2019). Predicting Alzheimer's disease progression using multi-modal deep learning approach. UCL Discovery (University College London). 30 indexed citations
13.
Lee, Garam, et al.. (2019). Distribution of Organic Matter and Heavy Metals in the Surface Sediments from Fishery Resources Protection Areas in the Southwestern Coast of Korea. Journal of the Korean Society of Marine Environment and Safety. 25(6). 666–677. 3 indexed citations
14.
Lee, Garam, et al.. (2019). MildInt: Deep Learning-Based Multimodal Longitudinal Data Integration Framework. Frontiers in Genetics. 10. 617–617. 41 indexed citations
15.
Kim, Jinwoo, Diane Bogdan, Matthew W. Elmes, et al.. (2019). Incarvillateine produces antinociceptive and motor suppressive effects via adenosine receptor activation. PLoS ONE. 14(6). e0218619–e0218619. 5 indexed citations
16.
Lee, Garam, et al.. (2017). Distribution and Pollution Status of Organic Matter and Heavy Metals in Surface Sediment Around Goseong Bay, a Shellfish Farming Area, Korea. Journal of the Korean Society of Marine Environment and Safety. 23(6). 699–709. 5 indexed citations
17.
Lee, Garam, et al.. (2017). Identifying subtype-specific associations between gene expression and DNA methylation profiles in breast cancer. BMC Medical Genomics. 10(S1). 28–28. 18 indexed citations
18.
Shaikh, Sana, Drew M. Dolino, Garam Lee, et al.. (2016). Stargazin Modulation of AMPA Receptors. Cell Reports. 17(2). 328–335. 48 indexed citations
19.
Han, Woo-Jin, et al.. (2015). LAMDA at TREC CDS track 2015: Clinical Decision Support Track. Text REtrieval Conference. 1 indexed citations
20.
Lee, Garam, et al.. (2011). Proteomic analysis of swine hepatitis E virus (sHEV)-infected livers reveals upregulation of apolipoprotein and downregulation of ferritin heavy chain. FEMS Immunology & Medical Microbiology. 61(3). 359–363. 13 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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