Seungmin Hwang
- Epidemiology top 1%
- Molecular Biology top 5%
- Immunology top 2%
- Oncology top 2%
- Infectious Diseases top 5%
- Co-authors
- Herbert W. VirginKen CadwellYu MatsuzawaYousang GwackRen SunJoonho ChoeChunghun LimHailey Brown
- Topics
- Cytomegalovirus and herpesvirus research (25 papers)Viral-associated cancers and disorders (21 papers)Autophagy in Disease and Therapy (17 papers)
- Cited by
- EpidemiologyImmunologyParasitology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesSouth KoreaBulgaria
In The Last Decade
Seungmin Hwang
57 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Epidemiology 2.5k
- Molecular Biology 1.8k
- Immunology 1.1k
- Oncology 1.1k
- Infectious Diseases 538
Countries citing papers authored by Seungmin Hwang
This map shows the geographic impact of Seungmin Hwang'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 Seungmin Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungmin Hwang more than expected).
Fields of papers citing papers by Seungmin Hwang
This network shows the impact of papers produced by Seungmin Hwang. 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 Seungmin Hwang. The network helps show where Seungmin Hwang may publish in the future.
Co-authorship network of co-authors of Seungmin Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Seungmin Hwang. A scholar is included among the top collaborators of Seungmin Hwang 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 Seungmin Hwang. Seungmin Hwang 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 | 7 | |
| 3 | 19 | |
| 4 | m6A mRNA demethylase FTO regulates melanoma tumorigenicity and response to anti-PD-1 blockadebreakdown → | 565 |
| 5 | 62 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 72 | |
| 9 | 143 | |
| 10 | Metabolic Dysfunction Drives a Mechanistically Distinct Proinflammatory Phenotype in Adipose Tissue Macrophagesbreakdown → | 625 |
| 11 | 56 | |
| 12 | 201 | |
| 13 | 47 | |
| 14 | 41 | |
| 15 | 129 | |
| 16 | 72 | |
| 17 | 15 | |
| 18 | 116 | |
| 19 | 120 | |
| 20 | 101 |
About Seungmin Hwang
Seungmin Hwang is a scholar working on Epidemiology, Parasitology and Oncology, having authored 57 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (25 papers), Viral-associated cancers and disorders (21 papers) and Autophagy in Disease and Therapy (17 papers). The work is most often cited by research in Epidemiology (2.5k citations), Immunology (1.1k citations) and Parasitology (284 citations). Seungmin Hwang has collaborated with scholars based in United States, South Korea and Bulgaria. Frequent co-authors include Herbert W. Virgin, Ken Cadwell, Yu Matsuzawa, Yousang Gwack, Ren Sun, Joonho Choe, Chunghun Lim, Hailey Brown, Soowon Kang and Gayoung Park. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.