Hai Yang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
Papers in
-
- Epigenetics and DNA Methylation 3
- RNA Research and Splicing 2
- CRISPR and Genetic Engineering 2
- RNA modifications and cancer 2
- Oncology 8
- Pancreatic and Hepatic Oncology Research 7
- Cancer-related Molecular Pathways 2
- Co-authors
- Christian Pilarsky (13 shared papers)Robert Grützmann (7 shared papers)Marina Pöttler (2 shared papers)Siyuan Zeng (2 shared papers)Bin Lan (2 shared papers)Bin Liu (5 shared papers)Jing Xu (1 shared paper)Jianye Zhang (1 shared paper)
- Journals
- Cancers (2 papers)Frontiers in Cell and Developmental Biology (2 papers)International Journal of Molecular Sciences (2 papers)Biomarker Research (1 paper)Translational Oncology (1 paper)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Hai Yang
15 papers receiving 792 citations
Hai Yang's Hit Papers
Peers
Comparison fields: 5 of 74
- Cancer Research 289
- Oncology 359
- Molecular Biology 509
- Immunology 69
- Biotechnology 28
Countries citing papers authored by Hai Yang
This map shows the geographic impact of Hai 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 Hai Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Yang more than expected).
Fields of papers citing papers by Hai Yang
This network shows the impact of papers produced by Hai 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 Hai Yang. The network helps show where Hai Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Chemoresistance in Pancreatic Cancer Hit paper breakdown → | 2019 | 452 |
| 2 | 2022 | 140 | |
| 3 | 2018 | 35 | |
| 4 | 2018 | 33 | |
| 5 | 2017 | 31 | |
| 6 | 2021 | 18 | |
| 7 | 2022 | 16 | |
| 8 | 2019 | 16 | |
| 9 | 2020 | 15 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2017 | 5 | |
| 14 | 2022 | 3 | |
| 15 | 2023 | 2 |
About Hai Yang
Hai Yang is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Biomedical Engineering, having authored 15 papers that have together received 799 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (7 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (2 papers), RNA Research and Splicing (2 papers), CRISPR and Genetic Engineering (2 papers), Cancer Genomics and Diagnostics (2 papers), Cancer-related Molecular Pathways (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (289 citations), Oncology (359 citations), Molecular Biology (509 citations), Immunology (69 citations) and Biotechnology (28 citations). Hai Yang has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Christian Pilarsky, Robert Grützmann, Marina Pöttler, Siyuan Zeng, Bin Lan, Bin Liu, Jing Xu, Jianye Zhang, Xiyong Yu and Teng Ma. Their work appears in journals such as Cancers, Frontiers in Cell and Developmental Biology, International Journal of Molecular Sciences, Biomarker Research and Translational Oncology.
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.