Ye Yang
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hematology top 1%
- Multiple Myeloma Research and Treatments
Papers in
-
- Ubiquitin and proteasome pathways 16
- Natural product bioactivities and synthesis 15
- Protein Degradation and Inhibitors 14
- Histone Deacetylase Inhibitors Research 13
- Hematology 45
- Multiple Myeloma Research and Treatments 39
- Co-authors
- Chunyan Gu (55 shared papers)Jinjun Qian (20 shared papers)Mengjie Guo (24 shared papers)Fenghuang Zhan (25 shared papers)Yuanjiao Zhang (8 shared papers)Ge Lin (12 shared papers)Guido Tricot (19 shared papers)Xiaozhu Tang (11 shared papers)
- Journals
- Blood (12 papers)Oncotarget (9 papers)Frontiers in Oncology (8 papers)Aging (6 papers)Fitoterapia (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ye Yang
221 papers receiving 5.1k citations
Ye Yang's Hit Papers
Peers
Comparison fields: 5 of 145
- Cancer Research 938
- Hematology 649
- Molecular Biology 3.0k
- Pharmacology 336
- Oncology 660
Countries citing papers authored by Ye Yang
This map shows the geographic impact of Ye 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 Ye Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Yang more than expected).
Fields of papers citing papers by Ye Yang
This network shows the impact of papers produced by Ye 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 Ye Yang. The network helps show where Ye Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye 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
Showing the 20 most-cited of 236 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Alternative splicing and cancer: a systematic review Hit paper breakdown → | 2021 | 288 |
| 2 | Review on circular RNAs and new insights into their roles in cancer Hit paper breakdown → | 2021 | 263 |
| 3 | 2013 | 239 | |
| 4 | 2014 | 145 | |
| 5 | 2016 | 133 | |
| 6 | 2019 | 112 | |
| 7 | 1993 | 104 | |
| 8 | 2010 | 93 | |
| 9 | 2015 | 89 | |
| 10 | 2022 | 85 | |
| 11 | 2015 | 75 | |
| 12 | 2022 | 72 | |
| 13 | 2015 | 72 | |
| 14 | 2020 | 70 | |
| 15 | 2015 | 69 | |
| 16 | 2013 | 63 | |
| 17 | 2013 | 62 | |
| 18 | 2014 | 62 | |
| 19 | 2014 | 61 | |
| 20 | 2021 | 54 |
About Ye Yang
Ye Yang is a scholar working on Molecular Biology, Hematology, Oncology, Cancer Research and Plant Science, having authored 236 papers that have together received 5.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (39 papers), Ubiquitin and proteasome pathways (16 papers), Natural product bioactivities and synthesis (15 papers), Protein Degradation and Inhibitors (14 papers), Histone Deacetylase Inhibitors Research (13 papers), Peptidase Inhibition and Analysis (13 papers), Phytochemistry and Biological Activities (12 papers) and Cancer Mechanisms and Therapy (11 papers). The work is most often cited by research in Cancer Research (938 citations), Hematology (649 citations), Molecular Biology (3.0k citations), Pharmacology (336 citations) and Oncology (660 citations). Ye Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chunyan Gu, Jinjun Qian, Mengjie Guo, Fenghuang Zhan, Yuanjiao Zhang, Ge Lin, Guido Tricot, Xiaozhu Tang, Peter P. Fu and Hongwei Xu. Their work appears in journals such as Blood, Oncotarget, Frontiers in Oncology, Aging and Fitoterapia.
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.