Sung‐Su Kim
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 10%
- Neurology top 5%
- Plant Science top 10%
- Physiology
- Co-authors
- Jeffrey MilbrandtRalph WitzgallYung‐Ming ChenJoseph V. BonventreAmy StricklandMarc VidalEileen O’LearyYo Sasaki
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (6 papers)Genomics and Chromatin Dynamics (5 papers)Neuroscience and Neuropharmacology Research (5 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Sung‐Su Kim
59 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 969
- Cellular and Molecular Neuroscience 201
- Neurology 175
- Plant Science 175
- Physiology 161
Countries citing papers authored by Sung‐Su Kim
This map shows the geographic impact of Sung‐Su Kim'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 Sung‐Su Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung‐Su Kim more than expected).
Fields of papers citing papers by Sung‐Su Kim
This network shows the impact of papers produced by Sung‐Su Kim. 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 Sung‐Su Kim. The network helps show where Sung‐Su Kim may publish in the future.
Co-authorship network of co-authors of Sung‐Su Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Su Kim. A scholar is included among the top collaborators of Sung‐Su Kim 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 Sung‐Su Kim. Sung‐Su Kim 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 | 228 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 9 | |
| 8 | 7 | |
| 9 | 203 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 23 | |
| 13 | 66 | |
| 14 | 6 | |
| 15 | 9 | |
| 16 | 4 | |
| 17 | Association between Cerebral Blood Flow and Cognitive Improvement Effect by B. mori Extracted Component | 0 |
| 18 | The Changes of Occludin in Tight Junction of Blood-Brain Barrier by ROS | 1 |
| 19 | Cognitive Ability Enhancement Effects in Rats by B. mori Fibroin Enzymatic Hydrolysate | 3 |
| 20 | Screening for Korean Vegetables with Anticarcinogenic Enzyme Inducing Activity Using Cell Culture System | 3 |
About Sung‐Su Kim
Sung‐Su Kim is a scholar working on Neurology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Genomics and Chromatin Dynamics (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Neurology (175 citations), Developmental Neuroscience (62 citations) and Molecular Biology (969 citations). Sung‐Su Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Jeffrey Milbrandt, Ralph Witzgall, Yung‐Ming Chen, Joseph V. Bonventre, Amy Strickland, Marc Vidal, Eileen O’Leary, Yo Sasaki, Aaron DiAntonio and Kui Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Nature Genetics.
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.