Dae‐Sik Lim

19.6k total citations · 8 hit papers
157 papers, 15.6k citations indexed

About

Dae‐Sik Lim is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Dae‐Sik Lim has authored 157 papers receiving a total of 15.6k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 89 papers in Cell Biology and 30 papers in Oncology. Recurrent topics in Dae‐Sik Lim's work include Hippo pathway signaling and YAP/TAZ (73 papers), Cancer-related Molecular Pathways (20 papers) and Wnt/β-catenin signaling in development and cancer (19 papers). Dae‐Sik Lim is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (73 papers), Cancer-related Molecular Pathways (20 papers) and Wnt/β-catenin signaling in development and cancer (19 papers). Dae‐Sik Lim collaborates with scholars based in South Korea, United States and United Kingdom. Dae‐Sik Lim's co-authors include Michael B. Kastan, Paul Hasty, Christine E. Canman, Seong‐Tae Kim, Bo Xu, Yoichi Taya, Janet D. Siliciano, Katsuyuki Tamai, Kazuyasu Sakaguchi and Ettore Appella and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Dae‐Sik Lim

153 papers receiving 15.4k citations

Hit Papers

Activation of the ATM Kinase by Ionizing Radiation and Ph... 1996 2026 2006 2016 1998 1997 1999 2000 2000 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae‐Sik Lim South Korea 60 11.2k 5.3k 4.3k 2.4k 1.2k 157 15.6k
Michelangelo Cordenonsi Italy 39 11.3k 1.0× 10.8k 2.0× 3.1k 0.7× 2.2k 0.9× 737 0.6× 48 18.6k
Christopher J. Marshall United Kingdom 61 15.0k 1.3× 4.8k 0.9× 5.5k 1.3× 2.4k 1.0× 961 0.8× 94 20.2k
Lionel Larue France 56 7.8k 0.7× 3.3k 0.6× 2.7k 0.6× 1.5k 0.6× 803 0.7× 174 11.4k
David D. Schlaepfer United States 72 12.3k 1.1× 9.0k 1.7× 3.9k 0.9× 3.5k 1.4× 846 0.7× 136 22.5k
Valerie G. Brunton United Kingdom 52 6.8k 0.6× 3.0k 0.6× 4.0k 0.9× 2.4k 1.0× 460 0.4× 149 12.1k
Arthur M. Mercurio United States 72 9.5k 0.8× 3.6k 0.7× 5.1k 1.2× 3.5k 1.4× 911 0.8× 182 16.5k
Silvio Bicciato Italy 57 10.0k 0.9× 7.1k 1.3× 4.0k 0.9× 2.5k 1.0× 863 0.7× 181 19.0k
Yi Zheng United States 83 14.1k 1.3× 6.2k 1.2× 2.8k 0.7× 1.6k 0.7× 1.4k 1.2× 364 21.5k
Jürgen Behrens Germany 58 15.5k 1.4× 3.4k 0.6× 3.8k 0.9× 1.7k 0.7× 1.4k 1.2× 113 19.3k
Gerhard Christofori Switzerland 71 12.4k 1.1× 2.9k 0.6× 7.1k 1.7× 4.5k 1.9× 1.3k 1.1× 163 19.6k

Countries citing papers authored by Dae‐Sik Lim

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Sik Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae‐Sik Lim. 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 Dae‐Sik Lim. The network helps show where Dae‐Sik Lim may publish in the future.

Co-authorship network of co-authors of Dae‐Sik Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Sik Lim. A scholar is included among the top collaborators of Dae‐Sik Lim 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 Dae‐Sik Lim. Dae‐Sik Lim 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.
Um, Jee‐Hyun, Young Yeon Kim, Dong Jin Shin, et al.. (2024). The Mst1/2-BNIP3 axis is required for mitophagy induction and neuronal viability under mitochondrial stress. Experimental & Molecular Medicine. 56(3). 674–685. 8 indexed citations
3.
Ha, Hongseok, et al.. (2024). YAP promotes global mRNA translation to fuel oncogenic growth despite starvation. Experimental & Molecular Medicine. 56(10). 2202–2215. 4 indexed citations
4.
Zhong, Zhenxing, Yuwen Zhu, Mingyue Ma, et al.. (2023). Two Hippo signaling modules orchestrate liver size and tumorigenesis. The EMBO Journal. 42(11). e112126–e112126. 33 indexed citations
5.
Lim, Dae‐Sik, Thiago Quinaglia, Théo Pezel, et al.. (2023). Change in minimum indexed left atrial volume predicts incident heart failure: the multi-ethnic study of atherosclerosis. European Heart Journal. 44(Supplement_1). 1 indexed citations
6.
Choi, Jinwook, Kijong Yi, Ju‐Gyeong Kang, et al.. (2022). Airway secretory cell fate conversion via YAP‐mTORC1‐dependent essential amino acid metabolism. The EMBO Journal. 41(8). e109365–e109365. 11 indexed citations
7.
Sohn, Hyun Ahm, Dong Chul Lee, Anna Park, et al.. (2022). Glycogen Storage Disease Phenotypes Accompanying the Perturbation of the Methionine Cycle in NDRG3-Deficient Mouse Livers. Cells. 11(9). 1536–1536. 1 indexed citations
8.
Yuan, Ting, Blaž Lupše, Zahra Azizi, et al.. (2021). The Hippo kinase LATS2 impairs pancreatic β-cell survival in diabetes through the mTORC1-autophagy axis. Nature Communications. 12(1). 4928–4928. 22 indexed citations
9.
Park, Jaeoh, Wonyoung Choi, Hail Kim, et al.. (2020). YAP and AP-1 Cooperate to Initiate Pancreatic Cancer Development from Ductal Cells in Mice. Cancer Research. 80(21). 4768–4779. 41 indexed citations
10.
Choi, Wonyoung, Jeongsik Kim, Jaeoh Park, et al.. (2018). YAP/TAZ Initiates Gastric Tumorigenesis via Upregulation of MYC. Cancer Research. 78(12). 3306–3320. 109 indexed citations
11.
Kim, Tae‐Shin, et al.. (2018). Mammalian sterile 20 kinase 1 and 2 are important regulators of hematopoietic stem cells in stress condition. Scientific Reports. 8(1). 942–942. 13 indexed citations
12.
Kim, Jayoung, Dong‐Hoon Shin, Jee Yeon Kim, et al.. (2018). SURF4 has oncogenic potential in NIH3T3 cells. Biochemical and Biophysical Research Communications. 502(1). 43–47. 7 indexed citations
13.
Jang, Wonyul, Tackhoon Kim, Ja Seung Koo, Sang Kyum Kim, & Dae‐Sik Lim. (2017). Mechanical cue‐induced YAP instructs Skp2‐dependent cell cycle exit and oncogenic signaling. The EMBO Journal. 36(17). 2510–2528. 62 indexed citations
14.
Kim, Jongshin, Yoo Hyung Kim, Jaeryung Kim, et al.. (2017). YAP/TAZ regulates sprouting angiogenesis and vascular barrier maturation. Journal of Clinical Investigation. 127(9). 3441–3461. 283 indexed citations
15.
Kim, Tackhoon, et al.. (2016). MRTF potentiates TEADYAP transcriptional activity causing metastasis. The EMBO Journal. 36(4). 520–535. 81 indexed citations
16.
Kim, Tae‐Shin, et al.. (2012). Mammalian Sterile 20–like Kinase 1 Suppresses Lymphoma Development by Promoting Faithful Chromosome Segregation. Cancer Research. 72(20). 5386–5395. 30 indexed citations
17.
Lee, Junghoon, et al.. (2010). Male-like sexual behavior of female mouse lacking fucose mutarotase. BMC Genetics. 11(1). 62–62. 6 indexed citations
18.
Song, Su Jung, Min Sup Song, Soonjoung Kim, et al.. (2009). Aurora A Regulates Prometaphase Progression by Inhibiting the Ability of RASSF1A to Suppress APC-Cdc20 Activity. Cancer Research. 69(6). 2314–2323. 40 indexed citations
19.
Song, Su Jung, Soonjoung Kim, Min Sup Song, & Dae‐Sik Lim. (2009). Aurora B–Mediated Phosphorylation of RASSF1A Maintains Proper Cytokinesis by Recruiting Syntaxin16 to the Midzone and Midbody. Cancer Research. 69(22). 8540–8544. 33 indexed citations
20.
Lim, Dae‐Sik, Seong‐Tae Kim, Bo Xu, et al.. (2000). ATM phosphorylates p95/nbs1 in an S-phase checkpoint pathway. Nature. 404(6778). 613–617. 643 indexed citations breakdown →

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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