Jiyeon Yang
- Immunology top 5%
- Molecular Biology
- Epidemiology top 10%
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Lixiao ZhangHong WangXiaofeng YangHanrui ZhangYoung Joo ParkCuihua ZhangKevin C. DellspergerSewon Lee
- Topics
- Atherosclerosis and Cardiovascular Diseases (3 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers)Adipokines, Inflammation, and Metabolic Diseases (2 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Jiyeon Yang
14 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Immunology 620
- Molecular Biology 427
- Epidemiology 263
- Physiology 204
- Cardiology and Cardiovascular Medicine 182
Countries citing papers authored by Jiyeon Yang
This map shows the geographic impact of Jiyeon Yang'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 Jiyeon Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiyeon Yang more than expected).
Fields of papers citing papers by Jiyeon Yang
This network shows the impact of papers produced by Jiyeon Yang. 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 Jiyeon Yang. The network helps show where Jiyeon Yang may publish in the future.
Co-authorship network of co-authors of Jiyeon Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Jiyeon Yang. A scholar is included among the top collaborators of Jiyeon Yang 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 Jiyeon Yang. Jiyeon Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 20 | |
| 6 | 3 | |
| 7 | 63 | |
| 8 | 22 | |
| 9 | Monocyte and macrophage differentiation: circulation inflammatory monocyte as biomarker for inflammatory diseasesbreakdown → | 789 |
| 10 | 11 | |
| 11 | The prophylactic uses of antibiotics for the prevention of surgical site infection and the effects: The 3-year experience in a tertiary hospital | 1 |
| 12 | Role of TNF-α in vascular dysfunctionbreakdown → | 552 |
| 13 | 94 | |
| 14 | 49 |
About Jiyeon Yang
Jiyeon Yang is a scholar working on Immunology, Obstetrics and Gynecology and Reproductive Medicine, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Immunology (620 citations), Neurology (107 citations) and Biological Psychiatry (27 citations). Jiyeon Yang has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Lixiao Zhang, Hong Wang, Xiaofeng Yang, Hanrui Zhang, Young Joo Park, Cuihua Zhang, Kevin C. Dellsperger, Sewon Lee, Junxi Wu and Xiangbin Xu. Their work appears in journals such as Circulation Research, Cancer Research and Scientific Reports.
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.