J. Byeong
Impact in
- Neurology top 10%
- Barrier Structure and Function Studies
- Neuroinflammation and Neurodegeneration Mechanisms
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- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
Papers in
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- ATP Synthase and ATPases Research 2
- S100 Proteins and Annexins 2
- Mitochondrial Function and Pathology 2
-
- Metabolism and Genetic Disorders 2
- Advanced Glycation End Products research 2
- Co-authors
- Sarah Y. Yuan (6 shared papers)Eric A. Arn (1 shared paper)Paul M. Macdonald (1 shared paper)William E. Theurkauf (1 shared paper)Richard S. Beard (5 shared papers)Mack H. Wu (4 shared papers)Jason J. Reynolds (2 shared papers)Jamie E. Meegan (3 shared papers)
- Journals
- Journal of Cerebral Blood Flow & Metabolism (2 papers)American Journal of Physiology-Renal Physiology (1 paper)Annals of Vascular Surgery (1 paper)Pharmaceuticals (1 paper)Cells (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
J. Byeong
14 papers receiving 300 citations
Peers
Comparison fields: 5 of 77
- Neurology 65
- Molecular Biology 160
- Immunology 49
- Immunology and Allergy 14
- Clinical Biochemistry 15
Countries citing papers authored by J. Byeong
This map shows the geographic impact of J. Byeong'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 J. Byeong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Byeong more than expected).
Fields of papers citing papers by J. Byeong
This network shows the impact of papers produced by J. Byeong. 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 J. Byeong. The network helps show where J. Byeong may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Byeong, 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 | 2003 | 58 | |
| 2 | 2014 | 58 | |
| 3 | 2016 | 56 | |
| 4 | 2020 | 29 | |
| 5 | 2018 | 28 | |
| 6 | 2019 | 21 | |
| 7 | 2021 | 18 | |
| 8 | 2014 | 12 | |
| 9 | 2015 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2020 | 4 | |
| 12 | 2011 | 3 | |
| 13 | 2015 | 3 | |
| 14 | 2025 | 2 |
About J. Byeong
J. Byeong is a scholar working on Molecular Biology, Clinical Biochemistry, Neurology, Infectious Diseases and Surgery, having authored 14 papers that have together received 301 indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (4 papers), Metabolism and Genetic Disorders (2 papers), ATP Synthase and ATPases Research (2 papers), Advanced Glycation End Products research (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), S100 Proteins and Annexins (2 papers), Mitochondrial Function and Pathology (2 papers) and Bartonella species infections research (1 paper). The work is most often cited by research in Neurology (65 citations), Molecular Biology (160 citations), Immunology (49 citations), Immunology and Allergy (14 citations) and Clinical Biochemistry (15 citations). J. Byeong has collaborated with scholars based in United States and France. Frequent co-authors include Sarah Y. Yuan, Eric A. Arn, Paul M. Macdonald, William E. Theurkauf, Richard S. Beard, Mack H. Wu, Jason J. Reynolds, Jamie E. Meegan, Xiaoyuan Yang and Nuria Villalba. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, American Journal of Physiology-Renal Physiology, Annals of Vascular Surgery, Pharmaceuticals and Cells.
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.