Sungwon Bae

12 papers receiving 390 citations

Sungwon Bae's Hit Papers

Application of Proteomics in Cancer: Recent Trends and Approaches for Biomarkers Discovery 2021 · 191 citations
1910+1+3Years since publication50100150

Peers

Sungwon Bae
Comparison fields: 5 of 78
  • Spectroscopy 56
  • Cancer Research 41
  • Cellular and Molecular Neuroscience 44
  • Sensory Systems 11
  • Molecular Biology 120
Replace Anand Giddabasappa with:
Anand Giddabasappa United States
Michitoshi Watanabe Japan
Leena Karhinen Finland
T. Hoffmann Germany
Malathi Narayan United States
Chi-Chang Weng United States
Md Nabiul Hasan United States
Marielle Boonen Belgium
Denise A. Berti Brazil
Cécile Thirant France
Sungwon Bae relative to Anand Giddabasappa United States Anand Giddabasappa's profile →
Citations per field
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Anand Giddabasappa · 1×
Citations per year

Countries citing papers authored by Sungwon Bae

Since Specialization
Citations

This map shows the geographic impact of Sungwon Bae'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 Sungwon Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungwon Bae more than expected).

Fields of papers citing papers by Sungwon Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sungwon Bae. 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 Sungwon Bae. The network helps show where Sungwon Bae may publish in the future.

Co-authors

The 25 scholars most cited alongside Sungwon Bae, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sungwon Bae Line = papers co-authored together Sungwon Bae links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Application of Proteomics in Cancer: Recent Trends and Approaches for Biomarkers Discovery
Hit paper breakdown →
2021191
2 200288
3 202031
4 202220
5 202112
6 200111
7 202411
8 201810
9 20229
10 20205
11 20214
12 20241

About Sungwon Bae

Sungwon Bae is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Physiology, Hardware and Architecture and Dermatology, having authored 12 papers that have together received 393 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Alzheimer's disease research and treatments (2 papers), Embedded Systems and FPGA Design (1 paper), Protease and Inhibitor Mechanisms (1 paper), Ion channel regulation and function (1 paper), ATP Synthase and ATPases Research (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Skin Protection and Aging (1 paper). The work is most often cited by research in Spectroscopy (56 citations), Cancer Research (41 citations), Cellular and Molecular Neuroscience (44 citations), Sensory Systems (11 citations) and Molecular Biology (120 citations). Sungwon Bae has collaborated with scholars based in South Korea, Finland and Belgium. Frequent co-authors include Jong Hyuk Yoon, Yang Woo Kwon, Parkyong Song, Youngsuk Seo, Minseok Song, Jaewon Ko, Sung Min Park, Insuk So, Inho Jo and Hyewhon Rhim. Their work appears in journals such as Experimental & Molecular Medicine, Journal of Neuroscience, Frontiers in Medicine, Aging Cell and Life.

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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