Dae‐Sik Lim
- Cell Biology top 0.05%
- Hippo pathway signaling and YAP/TAZ 73
- Microtubule and mitosis dynamics 14
- Molecular Biology top 0.2%
- Wnt/β-catenin signaling in development and cancer 19
- DNA Repair Mechanisms 17
- Ubiquitin and proteasome pathways 17
- Cancer-related gene regulation 9
- Epigenetics and DNA Methylation 9
- Cancer Research top 0.5%
- Oncology top 0.5%
- Cancer-related Molecular Pathways 20
- Aging top 1%
- Co-authors
- Michael B. KastanPaul HastyChristine E. CanmanSeong‐Tae KimBo XuYoichi TayaKarlene A. CimprichJanet D. Siliciano
- Journals
- Biochemical and Biophysical Research Communications (10 papers)The EMBO Journal (9 papers)Nature Communications (8 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Dae‐Sik Lim
153 papers receiving 15.4k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Cell Biology 5.3k
- Molecular Biology 11.2k
- Cancer Research 2.4k
- Oncology 4.3k
- Aging 202
Countries citing papers authored by Dae‐Sik Lim
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
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
The 25 scholars most cited alongside Dae‐Sik Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 33 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 22 | |
| 8 | 2020 | 41 | |
| 9 | 2019 | 70 | |
| 10 | 2018 | 109 | |
| 11 | 2018 | 13 | |
| 12 | 2018 | 7 | |
| 13 | 2017 | 10 | |
| 14 | 2017 | 283 | |
| 15 | 2016 | 22 | |
| 16 | 2012 | 30 | |
| 17 | 2010 | 6 | |
| 18 | 2009 | 33 | |
| 19 | 2009 | 40 | |
| 20 | ATM phosphorylates p95/nbs1 in an S-phase checkpoint pathwaybreakdown → | 2000 | 643 |
About Dae‐Sik Lim
Dae‐Sik Lim is a scholar working on Cell Biology, Aging and Molecular Biology, having authored 157 papers that have together received 15.6k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (73 papers), Cancer-related Molecular Pathways (20 papers), Wnt/β-catenin signaling in development and cancer (19 papers), DNA Repair Mechanisms (17 papers), Ubiquitin and proteasome pathways (17 papers), Microtubule and mitosis dynamics (14 papers), Cancer-related gene regulation (9 papers) and Epigenetics and DNA Methylation (9 papers). The work is most often cited by research in Cell Biology (5.3k citations), Molecular Biology (11.2k citations) and Cancer Research (2.4k citations). Dae‐Sik Lim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Michael B. Kastan, Paul Hasty, Christine E. Canman, Seong‐Tae Kim, Bo Xu, Yoichi Taya, Karlene A. Cimprich, Janet D. Siliciano, Katsuyuki Tamai and Kazuyasu Sakaguchi. Their work appears in journals such as Biochemical and Biophysical Research Communications, The EMBO Journal, Nature Communications, Journal of Biological Chemistry and Molecular and Cellular Biology.
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.