Seunghoon Back
Impact in
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- Adipose Tissue and Metabolism
- Pain Mechanisms and Treatments
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- Electrocatalysts for Energy Conversion
Papers in
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- Machine Learning in Bioinformatics 2
- Glycosylation and Glycoproteins Research 1
- Plant Gene Expression Analysis 1
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- Advanced Proteomics Techniques and Applications 3
- Mass Spectrometry Techniques and Applications 2
- Co-authors
- Sang‐Won Lee (7 shared papers)Hokeun Kim (4 shared papers)Daehee Hwang (3 shared papers)Hye Yeon Choi (1 shared paper)Sung Hee Choi (1 shared paper)Sehyun Chae (1 shared paper)Kyong Soo Park (1 shared paper)Kwangyeol Lee (1 shared paper)
- Journals
- iScience (1 paper)Neurotherapeutics (1 paper)Chemical Communications (1 paper)Molecular & Cellular Proteomics (1 paper)Cell Reports Methods (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Seunghoon Back
7 papers receiving 152 citations
Peers
Comparison fields: 5 of 60
- Physiology 37
- Renewable Energy, Sustainability and the Environment 21
- Spectroscopy 21
- Aging 2
- Molecular Biology 57
Countries citing papers authored by Seunghoon Back
This map shows the geographic impact of Seunghoon Back'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 Seunghoon Back with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seunghoon Back more than expected).
Fields of papers citing papers by Seunghoon Back
This network shows the impact of papers produced by Seunghoon Back. 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 Seunghoon Back. The network helps show where Seunghoon Back may publish in the future.
Co-authors
The 25 scholars most cited alongside Seunghoon Back, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 60 | |
| 2 | 2012 | 36 | |
| 3 | 2015 | 29 | |
| 4 | 2020 | 19 | |
| 5 | 2023 | 4 | |
| 6 | 2014 | 3 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 0 |
About Seunghoon Back
Seunghoon Back is a scholar working on Molecular Biology, Spectroscopy, Physiology, Cellular and Molecular Neuroscience and Ophthalmology, having authored 8 papers that have together received 152 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Machine Learning in Bioinformatics (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Adipose Tissue and Metabolism (1 paper), Glycosylation and Glycoproteins Research (1 paper), Nasolacrimal Duct Obstruction Treatments (1 paper), Plant Gene Expression Analysis (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Physiology (37 citations), Renewable Energy, Sustainability and the Environment (21 citations), Spectroscopy (21 citations), Aging (2 citations) and Molecular Biology (57 citations). Seunghoon Back has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sang‐Won Lee, Hokeun Kim, Daehee Hwang, Hye Yeon Choi, Sung Hee Choi, Sehyun Chae, Kyong Soo Park, Kwangyeol Lee, Nguyen Tien Khi and Byeongyoon Kim. Their work appears in journals such as iScience, Neurotherapeutics, Chemical Communications, Molecular & Cellular Proteomics and Cell Reports Methods.
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.