Yaping Zhang
- Nephrology top 0.5%
- Pulmonary and Respiratory Medicine top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Oncology
- Molecular Biology
- Co-authors
- Christopher H. SchmidLesley A. StevensAndrew S. LeveyJosef CoreshTom GreeneLiang LiMarc FroissartGerald J. Beck
- Topics
- Lung Cancer Diagnosis and Treatment (10 papers)Lung Cancer Treatments and Mutations (6 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Yaping Zhang
46 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Nephrology 826
- Pulmonary and Respiratory Medicine 417
- Cardiology and Cardiovascular Medicine 217
- Oncology 206
- Molecular Biology 185
Countries citing papers authored by Yaping Zhang
This map shows the geographic impact of Yaping Zhang'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 Yaping Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaping Zhang more than expected).
Fields of papers citing papers by Yaping Zhang
This network shows the impact of papers produced by Yaping Zhang. 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 Yaping Zhang. The network helps show where Yaping Zhang may publish in the future.
Co-authorship network of co-authors of Yaping Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Yaping Zhang. A scholar is included among the top collaborators of Yaping Zhang 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 Yaping Zhang. Yaping Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 9 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 35 | |
| 13 | 4 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 15 | |
| 17 | 0 | |
| 18 | 18 | |
| 19 | Correlation between the polymorphisms in XPD751 gene and sensitivity and toxicity of chemotherapy in advanced non-small cell lung cancer | 2 |
| 20 | Factors other than glomerular filtration rate affect serum cystatin C levelsbreakdown → | 576 |
About Yaping Zhang
Yaping Zhang is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Nephrology, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (10 papers), Lung Cancer Treatments and Mutations (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Nephrology (826 citations), Transplantation (46 citations) and Pulmonary and Respiratory Medicine (417 citations). Yaping Zhang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Christopher H. Schmid, Lesley A. Stevens, Andrew S. Levey, Josef Coresh, Tom Greene, Liang Li, Marc Froissart, Gerald J. Beck, John W. Kusek and Marshall M. Joffe. Their work appears in journals such as Scientific Reports, Kidney International and American Heart Journal.
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.