Yejun Zhao
Impact in
- Transplantation top 10%
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Receptor Mechanisms and Signaling 2
- S100 Proteins and Annexins 2
-
- Neuropeptides and Animal Physiology 2
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Marie L. Foegh (7 shared papers)Dariusz Leszczyński (4 shared papers)John C. McGiff (2 shared papers)Nicholas R. Ferreri (2 shared papers)Lena S. Sun (2 shared papers)Shaojian An (1 shared paper)Hideki Takizawa (1 shared paper)Peter W. Ramwell (2 shared papers)
- Journals
- Life Sciences (2 papers)Journal of Hypertension (1 paper)Novartis Foundation symposium (1 paper)Anesthesiology (1 paper)Circulation (1 paper)
- Partner nations
- United StatesFinlandMexico
In The Last Decade
Yejun Zhao
13 papers receiving 368 citations
Peers
Comparison fields: 5 of 67
- Biological Psychiatry 20
- Transplantation 19
- Nephrology 31
- Cardiology and Cardiovascular Medicine 80
- Pharmacology 55
Countries citing papers authored by Yejun Zhao
This map shows the geographic impact of Yejun Zhao'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 Yejun Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yejun Zhao more than expected).
Fields of papers citing papers by Yejun Zhao
This network shows the impact of papers produced by Yejun Zhao. 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 Yejun Zhao. The network helps show where Yejun Zhao may publish in the future.
Co-authors
The 16 scholars most cited alongside Yejun Zhao, 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 | 1998 | 92 | |
| 2 | Apoptosis of vascular smooth muscle cells. Protein kinase C and oncoprotein Bcl-2 are involved in regulation of apoptosis in non-transformed rat vascular smooth muscle cells. | 1994 | 77 |
| 3 | 1997 | 52 | |
| 4 | 2008 | 44 | |
| 5 | 1997 | 35 | |
| 6 | Direct and endothelial cell-mediated effect of cyclosporin A on the proliferation of rat smooth muscle cells in vitro. | 1993 | 34 |
| 7 | 1995 | 10 | |
| 8 | 1993 | 9 | |
| 9 | 2004 | 8 | |
| 10 | 1997 | 5 | |
| 11 | 2007 | 2 | |
| 12 | 2002 | 2 | |
| 13 | 2025 | 1 |
About Yejun Zhao
Yejun Zhao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Toxicology, having authored 13 papers that have together received 371 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (2 papers), Cell Adhesion Molecules Research (2 papers), Renin-Angiotensin System Studies (2 papers), Glycosylation and Glycoproteins Research (2 papers), Receptor Mechanisms and Signaling (2 papers), S100 Proteins and Annexins (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Biological Psychiatry (20 citations), Transplantation (19 citations), Nephrology (31 citations), Cardiology and Cardiovascular Medicine (80 citations) and Pharmacology (55 citations). Yejun Zhao has collaborated with scholars based in United States, Finland and Mexico. Frequent co-authors include Marie L. Foegh, Dariusz Leszczyński, John C. McGiff, Nicholas R. Ferreri, Lena S. Sun, Shaojian An, Hideki Takizawa, Peter W. Ramwell, Patrice Delafontaine and Nevin Katz. Their work appears in journals such as Life Sciences, Journal of Hypertension, Novartis Foundation symposium, Anesthesiology and Circulation.
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.