Sang‐Goo Lee
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Electrical and Electronic Engineering
- Mechanical Engineering top 10%
- Aging top 1%
- Co-authors
- Vadim N. GladyshevRichard A. MillerAlexei LobanovGeon‐Tae HwangKeon Jae LeeHyewon ParkBoyoung JoungJeong‐Ho Lee
- Topics
- Ferroelectric and Piezoelectric Materials (10 papers)Acoustic Wave Resonator Technologies (9 papers)Pluripotent Stem Cells Research (8 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Sang‐Goo Lee
91 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Molecular Biology 697
- Biomedical Engineering 648
- Electrical and Electronic Engineering 301
- Mechanical Engineering 291
- Aging 271
Countries citing papers authored by Sang‐Goo Lee
This map shows the geographic impact of Sang‐Goo 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 Sang‐Goo Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang‐Goo Lee more than expected).
Fields of papers citing papers by Sang‐Goo Lee
This network shows the impact of papers produced by Sang‐Goo 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 Sang‐Goo Lee. The network helps show where Sang‐Goo Lee may publish in the future.
Co-authorship network of co-authors of Sang‐Goo Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Goo Lee. A scholar is included among the top collaborators of Sang‐Goo 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 Sang‐Goo Lee. Sang‐Goo Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 26 | |
| 7 | 28 | |
| 8 | 57 | |
| 9 | 31 | |
| 10 | Cell-aware Stacked LSTMs for Modeling Sentences | 1 |
| 11 | 9 | |
| 12 | 93 | |
| 13 | 38 | |
| 14 | A Korean Product Review Analysis System Using a Semi-Automatically Constructed Semantic Dictionary | 9 |
| 15 | Influences of Animal Mucins on Peroxidase Activity in Solution and on the Surface of Hydroxyapatite | 5 |
| 16 | 42 | |
| 17 | 21 | |
| 18 | A PMN-PT Pickup Actuator for Small Form Factor Optical Disk Drives | 1 |
| 19 | A Study on Food Behavior and Preference of Military Personnel | 4 |
| 20 | Changes in Cellular Viability and Peroxidase Activities of Green Algae Selenastrum capricornutum(Chlorophyceae) to Cadmium | 1 |
About Sang‐Goo Lee
Sang‐Goo Lee is a scholar working on Aging, Leadership and Management and Artificial Intelligence, having authored 98 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ferroelectric and Piezoelectric Materials (10 papers), Acoustic Wave Resonator Technologies (9 papers) and Pluripotent Stem Cells Research (8 papers). The work is most often cited by research in Aging (271 citations), Biomedical Engineering (648 citations) and Polymers and Plastics (200 citations). Sang‐Goo Lee has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Vadim N. Gladyshev, Richard A. Miller, Alexei Lobanov, Geon‐Tae Hwang, Keon Jae Lee, Hyewon Park, Boyoung Joung, Jeong‐Ho Lee, Chang Kyu Jeong and Gun Ahn. Their work appears in journals such as Cell, Advanced Materials and Journal of Biological Chemistry.
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.