Ling Yang
Impact in
- Genetics top 0.2%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Forensic and Genetic Research
- Genetic Mapping and Diversity in Plants and Animals
- Cancer Research top 1%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in
-
- Hepatocellular Carcinoma Treatment and Prognosis 9
-
- Cancer-related molecular mechanisms research 10
- Co-authors
- Xiangbo Ruan (5 shared papers)Haiming Cao (4 shared papers)Ping Li (4 shared papers)Jun Zhu (2 shared papers)Jonathan D. Schwartz (2 shared papers)Masatoshi Kudo (3 shared papers)Takuji Okusaka (3 shared papers)Chia-Jui Yen (2 shared papers)
- Journals
- Non-Coding RNA (3 papers)Nature Communications (3 papers)PLoS ONE (3 papers)The Lancet Public Health (2 papers)Cell Metabolism (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ling Yang
59 papers receiving 15.9k citations
Ling Yang's Hit Papers
Peers
Comparison fields: 5 of 183
- Genetics 6.5k
- Cancer Research 1.8k
- Hepatology 788
- Molecular Biology 5.6k
- Pathology and Forensic Medicine 755
Countries citing papers authored by Ling Yang
This map shows the geographic impact of Ling 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 Ling Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Yang more than expected).
Fields of papers citing papers by Ling Yang
This network shows the impact of papers produced by Ling 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 Ling Yang. The network helps show where Ling Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A global reference for human genetic variation Hit paper breakdown → | 2015 | 12574 |
| 2 | Ramucirumab versus placebo as second-line treatment in patients with advanced hepatocellular carcinoma following first-line therapy with sorafenib (REACH): a randomised, double-blind, multicentre, phase 3 trial Hit paper breakdown → | 2015 | 712 |
| 3 | Natural selection on EPAS1 ( HIF2α ) associated with low hemoglobin concentration in Tibetan highlanders Hit paper breakdown → | 2010 | 676 |
| 4 | 2014 | 321 | |
| 5 | 2009 | 281 | |
| 6 | 2015 | 250 | |
| 7 | 2010 | 144 | |
| 8 | 2022 | 123 | |
| 9 | 2021 | 112 | |
| 10 | 2016 | 100 | |
| 11 | 2010 | 86 | |
| 12 | 2016 | 75 | |
| 13 | 2017 | 69 | |
| 14 | 2016 | 63 | |
| 15 | 2015 | 50 | |
| 16 | 2006 | 38 | |
| 17 | 2020 | 35 | |
| 18 | 2011 | 35 | |
| 19 | 2021 | 34 | |
| 20 | 2016 | 33 |
About Ling Yang
Ling Yang is a scholar working on Hepatology, Cancer Research, Genetics, Physiology and Molecular Biology, having authored 63 papers that have together received 16.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), RNA modifications and cancer (6 papers), Genetic Associations and Epidemiology (4 papers), Lipid metabolism and disorders (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Genetics (6.5k citations), Cancer Research (1.8k citations), Hepatology (788 citations), Molecular Biology (5.6k citations) and Pathology and Forensic Medicine (755 citations). Ling Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiangbo Ruan, Haiming Cao, Ping Li, Jun Zhu, Jonathan D. Schwartz, Masatoshi Kudo, Takuji Okusaka, Chia-Jui Yen, Andrew Xiuxuan Zhu and Baek‐Yeol Ryoo. Their work appears in journals such as Non-Coding RNA, Nature Communications, PLoS ONE, The Lancet Public Health and Cell 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.