Taebo Sim
- Molecular Biology top 2%
- Melanoma and MAPK Pathways 20
- Protein Kinase Regulation and GTPase Signaling 15
- PI3K/AKT/mTOR signaling in cancer 14
- Protein Degradation and Inhibitors 10
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments 12
- Oncology top 2%
- Cell Biology top 2%
- Organic Chemistry top 2%
- Synthesis and biological activity 18
- Quinazolinone synthesis and applications 11
- Synthetic Organic Chemistry Methods 10
- Co-authors
- Nathanael S. GrayJianming ZhangQingsong LiuDavid M. SabatiniSeong A. KangCarson C. ThoreenJae Won ChangLaurie J. Reichling
- Cited by
- Molecular BiologyHematologyOncology
- Journals
- Bioorganic & Medicinal Chemistry Letters (15 papers)Journal of Medicinal Chemistry (14 papers)European Journal of Medicinal Chemistry (11 papers)
- Partner nations
- South KoreaUnited StatesEgypt
In The Last Decade
Taebo Sim
119 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 3.5k
- Hematology 437
- Oncology 1.1k
- Cell Biology 609
- Organic Chemistry 951
Countries citing papers authored by Taebo Sim
This map shows the geographic impact of Taebo Sim'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 Taebo Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taebo Sim more than expected).
Fields of papers citing papers by Taebo Sim
This network shows the impact of papers produced by Taebo Sim. 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 Taebo Sim. The network helps show where Taebo Sim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Taebo Sim, 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 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 9 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 2 | |
| 7 | 2020 | 7 | |
| 8 | 2019 | 9 | |
| 9 | 2017 | 50 | |
| 10 | 2016 | 114 | |
| 11 | 2016 | 67 | |
| 12 | 2016 | 14 | |
| 13 | 2015 | 31 | |
| 14 | 2015 | 14 | |
| 15 | 2015 | 15 | |
| 16 | 2014 | 13 | |
| 17 | 2012 | 29 | |
| 18 | 2010 | 177 | |
| 19 | Discovery of 1-(4-(4-Propionylpiperazin-1-yl)-3-(trifluoromethyl)phenyl)-9-(quinolin-3-yl)benzo[h][1,6]naphthyridin-2(1H)-one as a Highly Potent, Selective Mammalian Target of Rapamycin (mTOR) Inhibitor for the Treatment of Cancer | 2010 | 11 |
| 20 | 2009 | 45 |
About Taebo Sim
Taebo Sim is a scholar working on Organic Chemistry, Hematology and Molecular Biology, having authored 122 papers that have together received 5.2k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (20 papers), Synthesis and biological activity (18 papers), Protein Kinase Regulation and GTPase Signaling (15 papers), PI3K/AKT/mTOR signaling in cancer (14 papers), Chronic Myeloid Leukemia Treatments (12 papers), Quinazolinone synthesis and applications (11 papers), Synthetic Organic Chemistry Methods (10 papers) and Protein Degradation and Inhibitors (10 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Hematology (437 citations) and Oncology (1.1k citations). Taebo Sim has collaborated with scholars based in South Korea, United States and Egypt. Frequent co-authors include Nathanael S. Gray, Jianming Zhang, Qingsong Liu, David M. Sabatini, Seong A. Kang, Carson C. Thoreen, Jae Won Chang, Laurie J. Reichling, Yi Gao and Wooyoung Hur. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters and Tetrahedron Letters.
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.