Zhi‐gang Yang
- Pulmonary and Respiratory Medicine top 1%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Epidemiology top 5%
- Co-authors
- Yingkun GuoTakayuki HondaMinoru HasegawaShodayu TakashimaYuichiro MaruyamaShusuke SoneTakeshi YamandaK. Hanamura
- Topics
- Cardiovascular Function and Risk Factors (89 papers)Cardiac Imaging and Diagnostics (80 papers)Advanced MRI Techniques and Applications (40 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingCardiology and Cardiovascular MedicinePulmonary and Respiratory Medicine
- Journals
- The LancetJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Zhi‐gang Yang
269 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Pulmonary and Respiratory Medicine 1.6k
- Radiology, Nuclear Medicine and Imaging 1.6k
- Cardiology and Cardiovascular Medicine 1.2k
- Surgery 909
- Epidemiology 504
Countries citing papers authored by Zhi‐gang Yang
This map shows the geographic impact of Zhi‐gang 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 Zhi‐gang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhi‐gang Yang more than expected).
Fields of papers citing papers by Zhi‐gang Yang
This network shows the impact of papers produced by Zhi‐gang 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 Zhi‐gang Yang. The network helps show where Zhi‐gang Yang may publish in the future.
Co-authorship network of co-authors of Zhi‐gang Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhi‐gang Yang. A scholar is included among the top collaborators of Zhi‐gang 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 Zhi‐gang Yang. Zhi‐gang 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 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 13 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | 19 | |
| 15 | 9 | |
| 16 | 4 | |
| 17 | Hypoxia-inducible factor-1α induces multidrug resistance protein in colon cancer | 2 |
| 18 | 11 | |
| 19 | 3 | |
| 20 | 50 |
About Zhi‐gang Yang
Zhi‐gang Yang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 285 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (89 papers), Cardiac Imaging and Diagnostics (80 papers) and Advanced MRI Techniques and Applications (40 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.6k citations), Cardiology and Cardiovascular Medicine (1.2k citations) and Pulmonary and Respiratory Medicine (1.6k citations). Zhi‐gang Yang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yingkun Guo, Takayuki Honda, Minoru Hasegawa, Shodayu Takashima, Yuichiro Maruyama, Shusuke Sone, Takeshi Yamanda, K. Hanamura, Keishi Kubo and Feng Li. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.