Yeri Lee

2.3k total citations
25 papers, 940 citations indexed

About

Yeri Lee is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Yeri Lee has authored 25 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Genetics and 4 papers in Oncology. Recurrent topics in Yeri Lee's work include Glioma Diagnosis and Treatment (7 papers), Microtubule and mitosis dynamics (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Yeri Lee is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Microtubule and mitosis dynamics (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Yeri Lee collaborates with scholars based in South Korea, United States and Japan. Yeri Lee's co-authors include Do‐Hyun Nam, Jeongwu Lee, Jin‐Ku Lee, Sun Hee Ahn, Kyeung Min Joo, Kang Ho Kim, Jinguen Rheey, Yong Jae Shin, Do‐Hyun Nam and Hee Jin Cho and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and PLoS ONE.

In The Last Decade

Yeri Lee

22 papers receiving 932 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeri Lee South Korea 13 510 289 261 260 141 25 940
Demirkan Gursel United States 19 491 1.0× 284 1.0× 270 1.0× 243 0.9× 104 0.7× 32 970
Ozlem Aksoy United States 7 744 1.5× 241 0.8× 260 1.0× 248 1.0× 109 0.8× 8 1.2k
Markus Bredel United States 15 565 1.1× 199 0.7× 251 1.0× 276 1.1× 105 0.7× 28 914
Seung Ah Choi South Korea 19 549 1.1× 196 0.7× 148 0.6× 294 1.1× 81 0.6× 52 957
K. Jason South Korea 17 354 0.7× 226 0.8× 249 1.0× 192 0.7× 168 1.2× 48 814
Lara Perryman United Kingdom 13 516 1.0× 204 0.7× 170 0.7× 327 1.3× 89 0.6× 19 850
I‐Mei Siu United States 16 494 1.0× 190 0.7× 160 0.6× 292 1.1× 121 0.9× 22 823
Kruttika Bhat United States 13 393 0.8× 239 0.8× 289 1.1× 238 0.9× 96 0.7× 21 806
Mirjam Hermisson Germany 14 614 1.2× 232 0.8× 229 0.9× 504 1.9× 137 1.0× 17 1.1k
Bakhtiar Yamini United States 20 487 1.0× 317 1.1× 158 0.6× 269 1.0× 88 0.6× 44 1.0k

Countries citing papers authored by Yeri Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yeri Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeri Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Yeri Lee. A scholar is included among the top collaborators of Yeri 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 Yeri Lee. Yeri 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.
Solís‐Fernández, Pablo, Satoru Fukamachi, Haiming Sun, et al.. (2025). Anomalous Raman signals in multilayer hexagonal boron nitride grown by chemical vapour deposition on metal foil catalysts. Nanoscale Advances. 7(23). 7538–7546. 1 indexed citations
2.
Lee, Yeri, Nam Hee Kim, Ji Hun Kang, et al.. (2024). Validation of Diagnostic Thresholds for Compensated Advanced Chronic Liver Disease Using Supersonic Shear Imaging. Radiology. 311(1). e232188–e232188. 1 indexed citations
3.
Jeon, Hye-Min, Yong Jae Shin, Jaehyun Lee, et al.. (2023). The semaphorin 3A/neuropilin-1 pathway promotes clonogenic growth of glioblastoma via activation of TGF-β signaling. JCI Insight. 8(21). 8 indexed citations
5.
Choi, Seung Won, Yeri Lee, Harim Koo, et al.. (2021). Mutation-specific non-canonical pathway of PTEN as a distinct therapeutic target for glioblastoma. Cell Death and Disease. 12(4). 374–374. 23 indexed citations
6.
Lee, Yeri, Hyun Jin Kim, Hyuk Lee, et al.. (2020). 707 Discovery of a novel EP2 and EP4 dual antagonist. Regular and Young Investigator Award Abstracts. A424.2–A425. 1 indexed citations
7.
Wang, Jia, Cheng Peng, Marat S. Pavlyukov, et al.. (2020). Targeting NEK2 attenuates glioblastoma growth and radioresistance by destabilizing histone methyltransferase EZH2. Journal of Clinical Investigation. 130(9). 5027–5027. 2 indexed citations
8.
Lee, Hye Seung, Kyoungmin Lee, Yeri Lee, et al.. (2019). Promising Therapeutic Efficacy of GC1118, an Anti-EGFR Antibody, against KRAS Mutation-Driven Colorectal Cancer Patient-Derived Xenografts. International Journal of Molecular Sciences. 20(23). 5894–5894. 15 indexed citations
9.
Shin, Yong Jae, K. Jason, Yeri Lee, et al.. (2019). PIP4K2A as a negative regulator of PI3K in PTEN-deficient glioblastoma. The Journal of Experimental Medicine. 216(5). 1120–1134. 33 indexed citations
10.
Kim, Yun-Ki, Yeri Lee, Keun‐Young Shin, & Jyongsik Jang. (2019). Highly omnidirectional and frequency tunable multilayer graphene-based monopole patch antennas. Journal of Materials Chemistry C. 7(26). 7915–7921. 10 indexed citations
11.
Jin, Peng, Seung-Hyun Shin, Yang‐Sook Chun, et al.. (2018). Astrocyte-derived CCL20 reinforces HIF-1-mediated hypoxic responses in glioblastoma by stimulating the CCR6-NF-κB signaling pathway. Oncogene. 37(23). 3070–3087. 50 indexed citations
12.
Oh, Jeong-Woo, Suji Han, Hee Jin Cho, et al.. (2018). Potent effect of the MDM2 inhibitor AMG232 on suppression of glioblastoma stem cells. Cell Death and Disease. 9(8). 792–792. 49 indexed citations
13.
Ham, Seok Won, Hee-Young Jeon, Xiong Jin, et al.. (2018). TP53 gain-of-function mutation promotes inflammation in glioblastoma. Cell Death and Differentiation. 26(3). 409–425. 150 indexed citations
14.
Jason, K., Seung Won Choi, Junfei Zhao, et al.. (2018). Hypermutagenesis in untreated adult gliomas due to inherited mismatch mutations. International Journal of Cancer. 144(12). 3023–3030. 16 indexed citations
15.
Lee, Yeri, Kang Ho Kim, Hee Jin Cho, et al.. (2015). FoxM1 Promotes Stemness and Radio-Resistance of Glioblastoma by Regulating the Master Stem Cell Regulator Sox2. PLoS ONE. 10(10). e0137703–e0137703. 98 indexed citations
16.
Lee, Yeri, Jin‐Ku Lee, Sun Hee Ahn, Jeongwu Lee, & Do‐Hyun Nam. (2015). WNT signaling in glioblastoma and therapeutic opportunities. Laboratory Investigation. 96(2). 137–150. 212 indexed citations
17.
Kim, Jin‐Kuk, Yeri Lee, Hee‐Jin Cho, et al.. (2014). NTRK1 Fusion in Glioblastoma Multiforme. PLoS ONE. 9(3). e91940–e91940. 74 indexed citations
18.
Lee, Yeri, Suk‐Joo Choi, Soo‐Young Oh, et al.. (2014). Is there a stepwise increase in neonatal morbidities according to histological stage (or grade) of acute chorioamnionitis and funisitis?: effect of gestational age at delivery. Journal of Perinatal Medicine. 43(2). 259–267. 50 indexed citations
19.
Yang, Heekyoung, Hye Won Lee, Yonghyun Kim, et al.. (2013). Radiosensitization of brain metastasis by targeting c-MET. Laboratory Investigation. 93(3). 344–353. 25 indexed citations
20.
Kim, Kang Ho, Ho Jun Seol, Eun Hee Kim, et al.. (2012). Wnt/β-catenin signaling is a key downstream mediator of MET signaling in glioblastoma stem cells. Neuro-Oncology. 15(2). 161–171. 104 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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