Jeong-Jae Lee

2.6k total citations · 1 hit paper
17 papers, 996 citations indexed

About

Jeong-Jae Lee is a scholar working on Management, Monitoring, Policy and Law, Molecular Biology and Cultural Studies. According to data from OpenAlex, Jeong-Jae Lee has authored 17 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management, Monitoring, Policy and Law, 2 papers in Molecular Biology and 2 papers in Cultural Studies. Recurrent topics in Jeong-Jae Lee's work include Korean Urban and Social Studies (10 papers), Diverse Topics in Contemporary Research (2 papers) and Energy Efficiency in Computing (1 paper). Jeong-Jae Lee is often cited by papers focused on Korean Urban and Social Studies (10 papers), Diverse Topics in Contemporary Research (2 papers) and Energy Efficiency in Computing (1 paper). Jeong-Jae Lee collaborates with scholars based in South Korea, United States and Armenia. Jeong-Jae Lee's co-authors include Milot Mirdita, Charlotte Tumescheit, Martin Steinegger, Stephanie Kim, Cameron L. M. Gilchrist, Johannes Söding, Michel van Kempen, Tae‐Gon Kim, Tae Min Kim and Dong‐Wan Kim and has published in prestigious journals such as Nature Biotechnology, Journal of Cancer Research and Clinical Oncology and Translational Oncology.

In The Last Decade

Jeong-Jae Lee

8 papers receiving 970 citations

Hit Papers

Fast and accurate protein structure search with Foldseek 2023 2026 2024 2025 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeong-Jae Lee South Korea 4 672 183 114 113 78 17 996
Michel van Kempen Armenia 2 664 1.0× 183 1.0× 114 1.0× 110 1.0× 78 1.0× 2 959
Charlotte Tumescheit United Kingdom 5 702 1.0× 196 1.1× 129 1.1× 135 1.2× 79 1.0× 5 1.1k
Allister Crow United Kingdom 19 675 1.0× 91 0.5× 250 2.2× 95 0.8× 104 1.3× 27 1.2k
Brian P. Anton United States 18 789 1.2× 242 1.3× 173 1.5× 133 1.2× 44 0.6× 48 1.1k
Alex Böhm Germany 13 556 0.8× 99 0.5× 230 2.0× 92 0.8× 73 0.9× 14 793
Monika Maciąg-Dorszyńska Poland 14 376 0.6× 126 0.7× 185 1.6× 110 1.0× 69 0.9× 33 668
Beatrice Cuche Switzerland 2 844 1.3× 118 0.6× 121 1.1× 245 2.2× 42 0.5× 2 1.2k
Christina Herrmann Germany 18 971 1.4× 188 1.0× 399 3.5× 191 1.7× 79 1.0× 22 1.4k
Ichiro Matsumura United States 20 1.3k 2.0× 150 0.8× 336 2.9× 110 1.0× 149 1.9× 41 1.6k
Mark A. Arbing United States 18 756 1.1× 184 1.0× 258 2.3× 63 0.6× 64 0.8× 35 1.1k

Countries citing papers authored by Jeong-Jae Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jeong-Jae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeong-Jae Lee

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

All Works

17 of 17 papers shown
1.
Kempen, Michel van, Stephanie Kim, Charlotte Tumescheit, et al.. (2023). Fast and accurate protein structure search with Foldseek. Nature Biotechnology. 42(2). 243–246. 956 indexed citations breakdown →
2.
Lee, Jeong-Jae, Bhumsuk Keam, Ji Eun Park, et al.. (2022). Monalizumab efficacy correlates with HLA-E surface expression and NK cell activity in head and neck squamous carcinoma cell lines. Journal of Cancer Research and Clinical Oncology. 149(9). 5705–5715. 7 indexed citations
3.
Lee, Jeong-Jae, Bhumsuk Keam, Soyeon Kim, et al.. (2022). The antitumor activity of a novel GCN2 inhibitor in head and neck squamous cell carcinoma cell lines. Translational Oncology. 27. 101592–101592. 9 indexed citations
4.
Kim, Tae‐Gon, Jeong-Jae Lee, Won‐Ho Nam, & Kyo Suh. (2014). Development of RESTful Web Service for Loading Data focusing on Daily Meteorological Data. Journal of The Korean Society of Agricultural Engineers. 56(6). 93–102. 1 indexed citations
5.
Han, Yicheol, Stephan J. Goetz, Tae‐Gon Kim, & Jeong-Jae Lee. (2013). Estimating Employment‐Related Migration from Overlapping Migration and Commuting Networks. Growth and Change. 44(3). 474–493. 3 indexed citations
6.
Suh, Kyo, et al.. (2012). Effective Classification Framework Design and Implementation for Rural Regional Information using Principal Component Analysis and Cluster Analysis. Journal of The Korean Society of Agricultural Engineers. 54(1). 73–81. 3 indexed citations
7.
Lee, Jimin, et al.. (2012). Development of Indicators to Evaluate the Regional Preparedness Level for Rural Aging. Journal of Korean Society of Rural Planning. 18(4). 69–78. 1 indexed citations
8.
Lee, Sung Yong, Tae‐Gon Kim, Eunjung Lee, et al.. (2009). Comparison of Estimating Parameters by Univariate Search and Genetic Algorithm using Tank Model. Journal of The Korean Society of Agricultural Engineers. 51(3). 1–8. 1 indexed citations
9.
Jang, Min-Won, et al.. (2008). Relation of the Natural Amenity and Population Change. Journal of Korean Society of Rural Planning. 14(4). 1–9. 1 indexed citations
10.
Lee, Dong Kun, et al.. (2007). Rural Amenity Resources Survey. Journal of Korean Society of Rural Planning. 13(1). 1–9. 1 indexed citations
11.
Lee, Jeong-Jae, et al.. (2007). A Rural Amenity Priority Assessment Model Using Information Measure Technique. Journal of The Korean Society of Agricultural Engineers. 49(4). 73–79. 1 indexed citations
12.
Lee, Jeong-Jae, et al.. (2006). A Cultural Property Priority Assessment Using Information Measure Technique. Journal of The Korean Society of Agricultural Engineers. 48(1). 41–48. 1 indexed citations
13.
Han, Yicheol, et al.. (2005). Analysis of Determinants of Migration by Age Groups using General Spatial Model in Korea. Journal of Korean Society of Rural Planning. 11(3). 59–67. 3 indexed citations
14.
Kim, Sang‐Bum, et al.. (2004). Standardized Surveying Method of Rural Amenity Resources with Database Normalization Technique. Journal of Korean Society of Rural Planning. 10(4). 1–7. 2 indexed citations
15.
Lee, Jeong-Jae, et al.. (2003). A Study on the Longevity Index and the Criteria of Longevity in Rural Area for Aged Society. Journal of Korean Society of Rural Planning. 9(3). 35–39. 3 indexed citations
16.
Suh, Kyo, et al.. (2003). Evaluation Index of Rural Development for Producing Potential Value of Rural Regions on a Commercial Scale. Journal of Korean Society of Rural Planning. 9(1). 47–53. 2 indexed citations
17.
Lee, Jeong-Jae, et al.. (2002). Assessment of Geographic Factors with Time on Longevity using Geographic Information System. Journal of Korean Society of Rural Planning. 8(3). 41–48. 1 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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