Sun‐Il Hwang
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 5%
- Sphingolipid Metabolism and Signaling
- Glycosylation and Glycoproteins Research
- Metabolomics and Mass Spectrometry Studies
- Extracellular vesicles in disease
Papers in
-
- Metabolomics and Mass Spectrometry Studies 5
- Ubiquitin and proteasome pathways 4
- Glycosylation and Glycoproteins Research 4
- Spectroscopy 12
- Advanced Proteomics Techniques and Applications 11
- Mass Spectrometry Techniques and Applications 5
- Co-authors
- Deborah H. Lundgren (8 shared papers)Linfeng Wu (4 shared papers)David K. Han (3 shared papers)David K. Han (11 shared papers)Karim Rezaul (5 shared papers)Viveka Mayya (5 shared papers)Jimmy K. Eng (4 shared papers)Vladimir Rodionov (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (4 papers)PROTEOMICS (3 papers)Clinica Chimica Acta (2 papers)Journal of Proteomics (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesSouth KoreaItaly
In The Last Decade
Sun‐Il Hwang
42 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 113
- Spectroscopy 512
- Molecular Biology 1.7k
- Cancer Research 276
- Immunology 385
- Developmental Neuroscience 72
Countries citing papers authored by Sun‐Il Hwang
This map shows the geographic impact of Sun‐Il 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 Sun‐Il Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun‐Il Hwang more than expected).
Fields of papers citing papers by Sun‐Il Hwang
This network shows the impact of papers produced by Sun‐Il 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 Sun‐Il Hwang. The network helps show where Sun‐Il Hwang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun‐Il Hwang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 434 | |
| 2 | 2010 | 345 | |
| 3 | 2009 | 328 | |
| 4 | 2010 | 233 | |
| 5 | 2011 | 187 | |
| 6 | 2007 | 135 | |
| 7 | 2004 | 132 | |
| 8 | 2011 | 110 | |
| 9 | 2004 | 104 | |
| 10 | 2009 | 97 | |
| 11 | 2007 | 95 | |
| 12 | 2013 | 73 | |
| 13 | 2016 | 62 | |
| 14 | 2006 | 61 | |
| 15 | 2018 | 50 | |
| 16 | 2009 | 44 | |
| 17 | 2011 | 38 | |
| 18 | 2007 | 30 | |
| 19 | 2011 | 29 | |
| 20 | 2010 | 28 |
About Sun‐Il Hwang
Sun‐Il Hwang is a scholar working on Molecular Biology, Spectroscopy, Oncology, Cancer Research and Genetics, having authored 45 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (11 papers), Pancreatic and Hepatic Oncology Research (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Ubiquitin and proteasome pathways (4 papers), Glycosylation and Glycoproteins Research (4 papers), Cancer Cells and Metastasis (3 papers) and Virology and Viral Diseases (3 papers). The work is most often cited by research in Spectroscopy (512 citations), Molecular Biology (1.7k citations), Cancer Research (276 citations), Immunology (385 citations) and Developmental Neuroscience (72 citations). Sun‐Il Hwang has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Deborah H. Lundgren, Linfeng Wu, David K. Han, David K. Han, Karim Rezaul, Viveka Mayya, Jimmy K. Eng, Vladimir Rodionov, Timothy Hla and May Han. Their work appears in journals such as Molecular & Cellular Proteomics, PROTEOMICS, Clinica Chimica Acta, Journal of Proteomics and PLoS ONE.
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.