Sun‐Il Hwang

3.4k total citations
44 papers, 2.7k citations indexed

About

Sun‐Il Hwang is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Sun‐Il Hwang has authored 44 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Spectroscopy and 8 papers in Oncology. Recurrent topics in Sun‐Il Hwang's work include Advanced Proteomics Techniques and Applications (12 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Mass Spectrometry Techniques and Applications (5 papers). Sun‐Il Hwang is often cited by papers focused on Advanced Proteomics Techniques and Applications (12 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Mass Spectrometry Techniques and Applications (5 papers). Sun‐Il Hwang collaborates with scholars based in United States, South Korea and Italy. Sun‐Il Hwang's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Sun‐Il Hwang

41 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sun‐Il Hwang United States 22 1.8k 502 416 354 305 44 2.7k
Nicole M. Verrills Australia 28 1.8k 1.0× 233 0.5× 276 0.7× 413 1.2× 456 1.5× 69 2.7k
Yingxin Zhao United States 34 1.9k 1.0× 376 0.7× 470 1.1× 353 1.0× 172 0.6× 86 3.0k
Irina Gromova Denmark 37 2.7k 1.5× 626 1.2× 306 0.7× 794 2.2× 343 1.1× 83 3.8k
Lijun Yang China 32 1.8k 1.0× 130 0.3× 392 0.9× 277 0.8× 194 0.6× 99 2.6k
Tiziana Bonaldi Italy 39 4.6k 2.6× 374 0.7× 1.1k 2.7× 574 1.6× 377 1.2× 114 6.5k
Teck Yew Low Malaysia 33 3.9k 2.2× 813 1.6× 349 0.8× 1.1k 3.1× 517 1.7× 88 5.6k
Norie Araki Japan 36 2.1k 1.1× 201 0.4× 553 1.3× 486 1.4× 719 2.4× 102 4.6k
Hongjun Shu United States 20 2.6k 1.5× 700 1.4× 400 1.0× 452 1.3× 1.1k 3.6× 25 3.7k
Venkatesha Basrur United States 30 2.5k 1.4× 101 0.2× 329 0.8× 471 1.3× 247 0.8× 86 3.2k
Michael Rehman Italy 14 3.4k 1.9× 243 0.5× 229 0.6× 886 2.5× 384 1.3× 16 4.1k

Countries citing papers authored by Sun‐Il Hwang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sun‐Il Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Sun‐Il Hwang. A scholar is included among the top collaborators of Sun‐Il 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 Sun‐Il Hwang. Sun‐Il Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ge, Xiaodong, Romain Désert, Fernando Magdaleno, et al.. (2023). Redox-sensitive high-mobility group box-1 isoforms contribute to liver fibrosis progression and resolution in mice. Journal of Hepatology. 80(3). 482–494. 15 indexed citations
2.
3.
Hwang, Sun‐Il, L. Andrew Lee, Anton Iliuk, et al.. (2019). Automating Complex, Multistep Processes on a Single Robotic Platform to Generate Reproducible Phosphoproteomic Data. SLAS DISCOVERY. 25(3). 277–286. 6 indexed citations
4.
Lee, Hyun-Kyung, et al.. (2017). Distribution of Legionella species from water systems and genetic diversity of L. pneumophila serogroup 1 in Gyeonggi-do. Korean Journal of Microbiology. 53(3). 156–162. 1 indexed citations
5.
Lim, Jinkyu & Sun‐Il Hwang. (2017). Identification of Osteoporosis-Associated Protein Biomarkers from Ovariectomized Rat Urine. Current Proteomics. 14(2). 130–137. 7 indexed citations
6.
Bossi, Krista, Jingyun Lee, Paul A. Schmeltzer, et al.. (2015). Homeostasis of iron and hepcidin in erythropoietic protoporphyria. European Journal of Clinical Investigation. 45(10). 1032–1041. 21 indexed citations
7.
Lee, Jingyun, Kimberly Q. McKinney, Antonis J. Pavlopoulos, et al.. (2015). A Draft Map of Rhesus Monkey Tissue Proteome for Biomedical Research. PLoS ONE. 10(5). e0126243–e0126243. 4 indexed citations
8.
Besmer, Dahlia M., Jennifer M. Curry, Lopamudra Das Roy, et al.. (2011). Pancreatic Ductal Adenocarcinoma Mice Lacking Mucin 1 Have a Profound Defect in Tumor Growth and Metastasis. Cancer Research. 71(13). 4432–4442. 110 indexed citations
9.
Ghosh, Sriparna, et al.. (2011). Association of filamin A and vimentin with hepatitis C virus proteins in infected human hepatocytes. Journal of Viral Hepatitis. 18(10). e568–e577. 25 indexed citations
10.
Watts, John A., et al.. (2011). Proteomics of microparticles after experimental pulmonary embolism. Thrombosis Research. 130(1). 122–128. 28 indexed citations
11.
Roy, Lopamudra Das, Mahnaz Sahraei, Durai B. Subramani, et al.. (2010). MUC1 enhances invasiveness of pancreatic cancer cells by inducing epithelial to mesenchymal transition. Oncogene. 30(12). 1449–1459. 228 indexed citations
12.
Moerdyk‐Schauwecker, Megan, Sun‐Il Hwang, & Valery Z. Grdzelishvili. (2009). Analysis of virion associated host proteins in vesicular stomatitis virus using a proteomics approach. Virology Journal. 6(1). 166–166. 42 indexed citations
13.
Han, May, Sun‐Il Hwang, Deborah H. Lundgren, et al.. (2008). Proteomic analysis of active multiple sclerosis lesions reveals therapeutic targets. Nature. 451(7182). 1076–1081. 422 indexed citations
14.
Lee, Yong-Moon, Krishnan Venkataraman, Sun‐Il Hwang, David K. Han, & Timothy Hla. (2007). A novel method to quantify sphingosine 1-phosphate by immobilized metal affinity chromatography (IMAC). Prostaglandins & Other Lipid Mediators. 84(3-4). 154–162. 91 indexed citations
15.
Bagnato, Carolina, Jaykumar Thumar, Viveka Mayya, et al.. (2007). Proteomics Analysis of Human Coronary Atherosclerotic Plaque. Molecular & Cellular Proteomics. 6(6). 1088–1102. 126 indexed citations
16.
Wu, Linfeng, Sun‐Il Hwang, Karim Rezaul, et al.. (2007). Global Survey of Human T Leukemic Cells by Integrating Proteomics and Transcriptomics Profiling. Molecular & Cellular Proteomics. 6(8). 1343–1353. 29 indexed citations
17.
Hwang, Sun‐Il, Deborah H. Lundgren, Viveka Mayya, et al.. (2006). Systematic Characterization of Nuclear Proteome during Apoptosis. Molecular & Cellular Proteomics. 5(6). 1131–1145. 58 indexed citations
18.
Rezaul, Karim, Linfeng Wu, Viveka Mayya, Sun‐Il Hwang, & David Han. (2004). A Systematic Characterization of Mitochondrial Proteome from Human T Leukemia Cells. Molecular & Cellular Proteomics. 4(2). 169–181. 101 indexed citations
19.
20.
Hwang, Sun‐Il & Jinkyu Lim. (1999). Purification of Bovine Pregnancy-Associated Proteins by Two-Dimensional Gel Electrophoresis. BMB Reports. 32(5). 445–450. 3 indexed citations

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.

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