Ying Zhai
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Physiology top 1%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- James G. GrannemanAnish KonkarJean E. LachowiczCarolyn FosterMadhu ChintalaDonald N. CookFrederick J. MonsmaMarvin Bayne
- Topics
- Receptor Mechanisms and Signaling (5 papers)Cancer, Hypoxia, and Metabolism (4 papers)Adipose Tissue and Metabolism (4 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Ying Zhai
35 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 413
- Cardiology and Cardiovascular Medicine 299
- Physiology 209
- Physiology 191
- Cellular and Molecular Neuroscience 166
Countries citing papers authored by Ying Zhai
This map shows the geographic impact of Ying Zhai'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 Ying Zhai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Zhai more than expected).
Fields of papers citing papers by Ying Zhai
This network shows the impact of papers produced by Ying Zhai. 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 Ying Zhai. The network helps show where Ying Zhai may publish in the future.
Co-authorship network of co-authors of Ying Zhai
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Zhai. A scholar is included among the top collaborators of Ying Zhai 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 Ying Zhai. Ying Zhai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | Assessment of six insulin resistance surrogate indexes for predicting stroke incidence in Chinese middle-aged and elderly populations with abnormal glucose metabolism: a nationwide prospective cohort studybreakdown → | 14 |
| 5 | 30 | |
| 6 | 7 | |
| 7 | 20 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | 4 | |
| 12 | 17 | |
| 13 | 51 | |
| 14 | 15 | |
| 15 | An improved calcium chloride method preparation and transformation of competent cells | 20 |
| 16 | 48 | |
| 17 | 128 | |
| 18 | 8 | |
| 19 | 330 | |
| 20 | 27 |
About Ying Zhai
Ying Zhai is a scholar working on Physiology, Filtration and Separation and Cancer Research, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Physiology (209 citations), Internal Medicine (51 citations) and Hematology (151 citations). Ying Zhai has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include James G. Granneman, Anish Konkar, Jean E. Lachowicz, Carolyn Foster, Madhu Chintala, Donald N. Cook, Frederick J. Monsma, Marvin Bayne, Maria Wiekowski and Eric L. Gustafson. Their work appears in journals such as Journal of Clinical Investigation, PLoS ONE and Water Research.
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.