Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Antifungal Drug Resistance: Molecular Mechanisms in Candida albicans and Beyond
2020506 citationsYunjin Lee, Emily Puumala et al.Chemical Reviewsprofile →
Molecular mechanisms governing antifungal drug resistance
2023117 citationsYunjin Lee, Nicole Robbins et al.PubMedprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Yunjin 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 Yunjin Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunjin Lee more than expected).
This network shows the impact of papers produced by Yunjin 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 Yunjin Lee. The network helps show where Yunjin Lee may publish in the future.
Co-authorship network of co-authors of Yunjin Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Yunjin Lee.
A scholar is included among the top collaborators of Yunjin 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 Yunjin Lee. Yunjin Lee is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lee, Yunjin, Emily Puumala, Nicole Robbins, & Leah E. Cowen. (2020). Antifungal Drug Resistance: Molecular Mechanisms in Candida albicans and Beyond. Chemical Reviews. 121(6). 3390–3411.506 indexed citations breakdown →
8.
Kang, Henry, et al.. (2018). Abstract Line Drawings from 2D Images. Open Access System for Information Sharing (Pohang University of Science and Technology).9 indexed citations
Lee, Yunjin, et al.. (2013). An Analysis of Change in Household Expenditure on Childcare and Education With the Introduction of ‘Nuri Curriculum’ Subsidies in 2012. 7(2). 166–189.1 indexed citations
16.
Lee, Yunjin, et al.. (2011). Development of the Facial Visualization System by Correlation Analysis of Personality Factors and Facial Appearance. Archives of Design Research. 24(3). 229–240.
17.
Lee, Yunjin, et al.. (2007). Automatic Bone Segmentation from CT Images Using Chan-Vese Multiphase Active Contour. Journal of Biomedical Engineering Research. 28(6). 713–720.1 indexed citations
Lee, Yunjin, et al.. (2005). Ensembles for Surface Reconstruction. Max Planck Institute for Plasma Physics. 1–3.1 indexed citations
20.
Lee, Yunjin, Ariel Shamir, Daniel Cohen‐Or, et al.. (2004). Intelligent Mesh Scissoring Using 3D Snakes. MPG.PuRe (Max Planck Society). 279–287.4 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.