Gang Min Hur
- Molecular Biology top 5%
- Immunology top 5%
- Cancer Research top 5%
- Epidemiology top 5%
- Oncology top 10%
- Co-authors
- Han‐Ming ShenJeong Ho SeokKyeong Ah ParkMinho WonHee Sun ByunZheng-gang LiuQingfeng YangSergei A. Nedospasov
- Topics
- NF-κB Signaling Pathways (23 papers)Cell death mechanisms and regulation (20 papers)interferon and immune responses (12 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Gang Min Hur
101 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.7k
- Immunology 763
- Cancer Research 577
- Epidemiology 511
- Oncology 407
Countries citing papers authored by Gang Min Hur
This map shows the geographic impact of Gang Min Hur'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 Gang Min Hur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Min Hur more than expected).
Fields of papers citing papers by Gang Min Hur
This network shows the impact of papers produced by Gang Min Hur. 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 Gang Min Hur. The network helps show where Gang Min Hur may publish in the future.
Co-authorship network of co-authors of Gang Min Hur
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Min Hur. A scholar is included among the top collaborators of Gang Min Hur 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 Gang Min Hur. Gang Min Hur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 34 | |
| 3 | 17 | |
| 4 | 3 | |
| 5 | 17 | |
| 6 | 6 | |
| 7 | 111 | |
| 8 | 64 | |
| 9 | 69 | |
| 10 | 38 | |
| 11 | 57 | |
| 12 | 12 | |
| 13 | Calcium-induced Human Keratinocytes(HaCaT) Differentiation Requires Protein Kinase B Activation in Phosphatidylinositol 3-Kinase-dependent Manner | 3 |
| 14 | 17 | |
| 15 | 40 | |
| 16 | Caffeic Acid Phenethyl Ester Inhibits the PKC-Induced IL-6 Gene Expression in the Synoviocytes of Rheumatoid Arthritis Patients | 3 |
| 17 | 51 | |
| 18 | Diclofenac Inhibits $IFN-{\gamma}$ Plus Lipopolysaccharide-Induced iNOS Gene Expression via Suppression of $NF-{\kappa}B$ Activation in RAW 264.7 Macrophages | 1 |
| 19 | 25 | |
| 20 | 2 |
About Gang Min Hur
Gang Min Hur is a scholar working on Cancer Research, Immunology and Geriatrics and Gerontology, having authored 104 papers that have together received 3.4k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (23 papers), Cell death mechanisms and regulation (20 papers) and interferon and immune responses (12 papers). The work is most often cited by research in Cancer Research (577 citations), Immunology (763 citations) and Molecular Biology (1.7k citations). Gang Min Hur has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Han‐Ming Shen, Jeong Ho Seok, Kyeong Ah Park, Minho Won, Hee Sun Byun, Zheng-gang Liu, Qingfeng Yang, Sergei A. Nedospasov, Yong Lin and Jang Hee Hong. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.
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.