Sungki Hong
- Molecular Biology
- Epidemiology top 10%
- Physiology top 10%
- Immunology
- Cell Biology top 10%
- Co-authors
- Ken InokiSei YoshidaStefanie ReicheltAndrew YoungTakayuki NakashimaShigeomi ShimizuLorraine BerrySatoko Arakawa
- Topics
- PI3K/AKT/mTOR signaling in cancer (8 papers)Immune Cell Function and Interaction (3 papers)Polyamine Metabolism and Applications (3 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Sungki Hong
21 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 635
- Epidemiology 309
- Physiology 265
- Immunology 190
- Cell Biology 119
Countries citing papers authored by Sungki Hong
This map shows the geographic impact of Sungki Hong'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 Sungki Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungki Hong more than expected).
Fields of papers citing papers by Sungki Hong
This network shows the impact of papers produced by Sungki Hong. 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 Sungki Hong. The network helps show where Sungki Hong may publish in the future.
Co-authorship network of co-authors of Sungki Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Sungki Hong. A scholar is included among the top collaborators of Sungki Hong 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 Sungki Hong. Sungki Hong 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 | 8 | |
| 3 | 20 | |
| 4 | 149 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 78 | |
| 8 | 88 | |
| 9 | Spatial Coupling of mTOR and Autophagy Augments Secretory Phenotypesbreakdown → | 459 |
| 10 | 126 | |
| 11 | 7 | |
| 12 | 57 | |
| 13 | 12 | |
| 14 | 37 | |
| 15 | 39 | |
| 16 | 15 | |
| 17 | 20 | |
| 18 | 25 | |
| 19 | 56 | |
| 20 | 24 |
About Sungki Hong
Sungki Hong is a scholar working on Behavioral Neuroscience, Geriatrics and Gerontology and Immunology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (8 papers), Immune Cell Function and Interaction (3 papers) and Polyamine Metabolism and Applications (3 papers). The work is most often cited by research in Aging (66 citations), Geriatrics and Gerontology (59 citations) and Physiology (48 citations). Sungki Hong has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Ken Inoki, Sei Yoshida, Stefanie Reichelt, Andrew Young, Takayuki Nakashima, Shigeomi Shimizu, Lorraine Berry, Satoko Arakawa, Masashi Narita and Masako Narita. Their work appears in journals such as Science, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.