Pann‐Ghill Suh
- Molecular Biology top 0.5%
- Cell Biology top 0.5%
- Immunology top 2%
- Physiology top 2%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Sung Ho RyuTony HunterJill MeisenhelderSang Yeol LeeSue Goo RheeLucio CoccoKuen Yong LeeSangkee Rhee
- Topics
- Protein Kinase Regulation and GTPase Signaling (73 papers)Cellular transport and secretion (27 papers)PI3K/AKT/mTOR signaling in cancer (21 papers)
- Partner nations
- South KoreaUnited StatesItaly
In The Last Decade
Pann‐Ghill Suh
199 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 7.5k
- Cell Biology 2.0k
- Immunology 1.3k
- Physiology 1.1k
- Cellular and Molecular Neuroscience 1.1k
Countries citing papers authored by Pann‐Ghill Suh
This map shows the geographic impact of Pann‐Ghill Suh'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 Pann‐Ghill Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pann‐Ghill Suh more than expected).
Fields of papers citing papers by Pann‐Ghill Suh
This network shows the impact of papers produced by Pann‐Ghill Suh. 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 Pann‐Ghill Suh. The network helps show where Pann‐Ghill Suh may publish in the future.
Co-authorship network of co-authors of Pann‐Ghill Suh
This figure shows the co-authorship network connecting the top 25 collaborators of Pann‐Ghill Suh. A scholar is included among the top collaborators of Pann‐Ghill Suh 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 Pann‐Ghill Suh. Pann‐Ghill Suh 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 | 2 | |
| 3 | 1 | |
| 4 | 21 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | Brain lipidomics: From functional landscape to clinical significancebreakdown → | 162 |
| 8 | 5 | |
| 9 | 28 | |
| 10 | 12 | |
| 11 | 32 | |
| 12 | 18 | |
| 13 | 148 | |
| 14 | 11 | |
| 15 | Thimerosal generates superoxide anion by activating NADPH oxidase: a mechanism of thimerosal-induced calcium release | 2 |
| 16 | 66 | |
| 17 | Plasma Cholesterol-Lowering Effects of Alpiniae katsumadaii Extract as an Inhibiter of Pancreatic Cholesterol Esterase Activity | 1 |
| 18 | 10 | |
| 19 | Development and Evaluation of Two-Site Binding Radioimmunoassay for Human α-Fetoprotein Using Monoclonal Antibodies | 1 |
| 20 | Purification of α-Fetoprotein from Human Cord Serum | 1 |
About Pann‐Ghill Suh
Pann‐Ghill Suh is a scholar working on Cell Biology, Molecular Biology and Immunology and Allergy, having authored 206 papers that have together received 10.4k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (73 papers), Cellular transport and secretion (27 papers) and PI3K/AKT/mTOR signaling in cancer (21 papers). The work is most often cited by research in Cell Biology (2.0k citations), Molecular Biology (7.5k citations) and Immunology and Allergy (414 citations). Pann‐Ghill Suh has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Sung Ho Ryu, Tony Hunter, Jill Meisenhelder, Sang Yeol Lee, Sue Goo Rhee, Sue Goo Rhee, Lucio Cocco, Kuen Yong Lee, Sangkee Rhee and Yong Ryoul Yang. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.