Haoqiang Ying
- Molecular Biology top 1%
- Cancer Research top 0.2%
- Oncology top 0.5%
- Epidemiology top 2%
- Immunology top 5%
- Co-authors
- Alec C. KimmelmanRonald A. DePinhoXiaoxu WangCostas A. LyssiotisJohn M. AsaraJayne M. StommelLewis C. CantleyMarcia C. Haigis
- Topics
- Cancer-related Molecular Pathways (14 papers)Pancreatic and Hepatic Oncology Research (12 papers)Cancer, Hypoxia, and Metabolism (11 papers)
- Cited by
- Cancer ResearchAgingOncology
- Partner nations
- United StatesChinaGermany
In The Last Decade
Haoqiang Ying
59 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 5.3k
- Cancer Research 3.0k
- Oncology 2.8k
- Epidemiology 1.4k
- Immunology 807
Countries citing papers authored by Haoqiang Ying
This map shows the geographic impact of Haoqiang Ying'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 Haoqiang Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoqiang Ying more than expected).
Fields of papers citing papers by Haoqiang Ying
This network shows the impact of papers produced by Haoqiang Ying. 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 Haoqiang Ying. The network helps show where Haoqiang Ying may publish in the future.
Co-authorship network of co-authors of Haoqiang Ying
This figure shows the co-authorship network connecting the top 25 collaborators of Haoqiang Ying. A scholar is included among the top collaborators of Haoqiang Ying 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 Haoqiang Ying. Haoqiang Ying is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 19 | |
| 3 | 45 | |
| 4 | 36 | |
| 5 | 30 | |
| 6 | 7 | |
| 7 | 17 | |
| 8 | 84 | |
| 9 | Upregulated lncRNA THRIL/TNF-α Signals Promote Cell Growth and Predict Poor Clinical Outcomes of Osteosarcoma | 1 |
| 10 | 129 | |
| 11 | 87 | |
| 12 | 78 | |
| 13 | 29 | |
| 14 | 143 | |
| 15 | 4 | |
| 16 | 9 | |
| 17 | Pancreatic cancers require autophagy for tumor growthbreakdown → | 1163 |
| 18 | 23 | |
| 19 | Coactivation of Receptor Tyrosine Kinases Affects the Response of Tumor Cells to Targeted Therapiesbreakdown → | 699 |
| 20 | 214 |
About Haoqiang Ying
Haoqiang Ying is a scholar working on Cancer Research, Oncology and Aging, having authored 59 papers that have together received 8.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (14 papers), Pancreatic and Hepatic Oncology Research (12 papers) and Cancer, Hypoxia, and Metabolism (11 papers). The work is most often cited by research in Cancer Research (3.0k citations), Aging (197 citations) and Oncology (2.8k citations). Haoqiang Ying has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Alec C. Kimmelman, Ronald A. DePinho, Xiaoxu Wang, Costas A. Lyssiotis, John M. Asara, Jayne M. Stommel, Lewis C. Cantley, Marcia C. Haigis, Nabeel Bardeesy and Lynda Chin. Their work appears in journals such as Nature, Science and Cell.
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.