Ying Pang
- Molecular Biology
- Oncology top 10%
- Cancer Research top 5%
- Surgery
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Lili TangKarel PacákChunzhang YangSong LiliYening ZhangDerrick J. BeechZhengping ZhuangZimeng Li
- Topics
- Cancer survivorship and care (21 papers)Cancer, Hypoxia, and Metabolism (17 papers)Glioma Diagnosis and Treatment (11 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Ying Pang
109 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 133
- Molecular Biology 444
- Oncology 440
- Cancer Research 396
- Surgery 255
- Endocrinology, Diabetes and Metabolism 209
Countries citing papers authored by Ying Pang
This map shows the geographic impact of Ying Pang'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 Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Pang more than expected).
Fields of papers citing papers by Ying Pang
This network shows the impact of papers produced by Ying Pang. 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 Pang. The network helps show where Ying Pang may publish in the future.
Co-authorship network of co-authors of Ying Pang
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Pang. A scholar is included among the top collaborators of Ying Pang 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 Pang. Ying Pang 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 35 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 61 | |
| 15 | The Comparative study of salivary gland scintigraphy quantitative analysis and high frequency ultrasound and labial gland biopsy in patients with Sjgren's syndrome | 1 |
| 16 | BP neural networks based on genetic algorithms and its application in prediction of battery capacity | 2 |
| 17 | 34 | |
| 18 | Properties of steady-state in Er^(3+)-Yb^(3+) co-doped phosphate glass for optical waveguide laser | 1 |
| 19 | A novel scheme of label abstraction and erasion based on Fabry-Perot semiconductor optical amplifier | 1 |
| 20 | 4 |
About Ying Pang
Ying Pang is a scholar working on Cancer Research, Oncology and Genetics, having authored 116 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer survivorship and care (21 papers), Cancer, Hypoxia, and Metabolism (17 papers) and Glioma Diagnosis and Treatment (11 papers). The work is most often cited by research in Cancer Research (396 citations), Oncology (440 citations) and Endocrinology, Diabetes and Metabolism (209 citations). Ying Pang has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Lili Tang, Karel Pacák, Chunzhang Yang, Song Lili, Yening Zhang, Lili Tang, Derrick J. Beech, Zhengping Zhuang, Zimeng Li and Yi He. Their work appears in journals such as Circulation, Journal of Clinical Oncology and The Journal of Clinical Endocrinology & Metabolism.
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.