Yang Yang
Impact in
- Geriatrics and Gerontology top 0.2%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 1%
- MicroRNA in disease regulation
Papers in
-
- Epigenetics and DNA Methylation 55
- Cancer-related gene regulation 47
- Genomics and Chromatin Dynamics 20
- RNA modifications and cancer 20
- DNA Repair Mechanisms 18
- Co-authors
- Hirokuni Taguchi (26 shared papers)H. Phillip Koeffler (24 shared papers)Wei‐Guo Zhu (27 shared papers)Takayuki Ikezoe (19 shared papers)Ying Zhao (19 shared papers)Masayori Inouye (2 shared papers)Haiying Wang (19 shared papers)Tianyun Hou (11 shared papers)
- Journals
- Oncotarget (14 papers)Leukemia Research (6 papers)Blood (6 papers)Cancer Science (6 papers)Oncology Reports (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yang Yang
437 papers receiving 11.4k citations
Yang Yang's Hit Papers
Peers
Comparison fields: 5 of 161
- Geriatrics and Gerontology 637
- Cancer Research 1.3k
- Molecular Biology 5.9k
- Hematology 694
- Oncology 1.3k
Countries citing papers authored by Yang Yang
This map shows the geographic impact of Yang 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 Yang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Yang more than expected).
Fields of papers citing papers by Yang Yang
This network shows the impact of papers produced by Yang 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 Yang Yang. The network helps show where Yang Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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 460 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Global gene expression profiling of multiple myeloma, monoclonal gammopathy of undetermined significance, and normal bone marrow plasma cells Hit paper breakdown → | 2002 | 523 |
| 2 | 2014 | 224 | |
| 3 | 2013 | 202 | |
| 4 | 2014 | 183 | |
| 5 | 2016 | 177 | |
| 6 | 1991 | 148 | |
| 7 | 2005 | 142 | |
| 8 | 2015 | 132 | |
| 9 | 2015 | 132 | |
| 10 | 2017 | 124 | |
| 11 | 2014 | 123 | |
| 12 | 2014 | 123 | |
| 13 | 2017 | 116 | |
| 14 | 2019 | 112 | |
| 15 | 2013 | 111 | |
| 16 | 2008 | 111 | |
| 17 | 2004 | 110 | |
| 18 | 2011 | 110 | |
| 19 | 2004 | 100 | |
| 20 | 2009 | 98 |
About Yang Yang
Yang Yang is a scholar working on Molecular Biology, Plant Science, Cancer Research, Epidemiology and Oncology, having authored 460 papers that have together received 11.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (55 papers), Cancer-related gene regulation (47 papers), Liver Disease Diagnosis and Treatment (27 papers), Sirtuins and Resveratrol in Medicine (24 papers), Genomics and Chromatin Dynamics (20 papers), RNA modifications and cancer (20 papers), DNA Repair Mechanisms (18 papers) and Cancer, Lipids, and Metabolism (16 papers). The work is most often cited by research in Geriatrics and Gerontology (637 citations), Cancer Research (1.3k citations), Molecular Biology (5.9k citations), Hematology (694 citations) and Oncology (1.3k citations). Yang Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hirokuni Taguchi, H. Phillip Koeffler, Wei‐Guo Zhu, Takayuki Ikezoe, Ying Zhao, Masayori Inouye, Haiying Wang, Tianyun Hou, Meiting Li and Tsuyako Saito. Their work appears in journals such as Oncotarget, Leukemia Research, Blood, Cancer Science and Oncology Reports.
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.