Ling Yang

24.2k total citations · 1 hit paper
50 papers, 1.8k citations indexed

About

Ling Yang is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Ling Yang has authored 50 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Epidemiology and 10 papers in Physiology. Recurrent topics in Ling Yang's work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cancer-related molecular mechanisms research (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). Ling Yang is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cancer-related molecular mechanisms research (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). Ling Yang collaborates with scholars based in China, United States and United Kingdom. Ling Yang's co-authors include Xiangbo Ruan, Ping Li, Haiming Cao, Jun Zhu, Andrew X. Zhu, Takuji Okusaka, Paolo Abada, Jonathan D. Schwartz, Masatoshi Kudo and Baek‐Yeol Ryoo and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cell Metabolism.

In The Last Decade

Ling Yang

44 papers receiving 1.7k citations

Hit Papers

Ramucirumab versus placebo as second-line treatment in pa... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ling Yang China 16 662 586 543 413 293 50 1.8k
Hong Zhao China 25 761 1.1× 462 0.8× 428 0.8× 357 0.9× 606 2.1× 89 1.9k
Christian D. Fingas Germany 22 653 1.0× 272 0.5× 374 0.7× 447 1.1× 389 1.3× 37 1.7k
Jérémie Gautheron France 25 1.2k 1.8× 313 0.5× 609 1.1× 795 1.9× 172 0.6× 47 2.1k
Sunhwa Kim South Korea 5 547 0.8× 380 0.6× 359 0.7× 489 1.2× 417 1.4× 10 1.5k
Jens‐Gerd Scharf Germany 21 475 0.7× 359 0.6× 294 0.5× 378 0.9× 198 0.7× 48 1.4k
María J. Perugorria Spain 25 1.1k 1.7× 610 1.0× 519 1.0× 557 1.3× 582 2.0× 52 2.6k
Beifang Ning China 23 1.4k 2.0× 488 0.8× 929 1.7× 359 0.9× 509 1.7× 36 2.2k
Zhongjun Wu China 24 1000 1.5× 336 0.6× 669 1.2× 387 0.9× 191 0.7× 116 1.8k
Adrien Guillot Germany 20 491 0.7× 569 1.0× 171 0.3× 919 2.2× 138 0.5× 52 1.7k
Jeongeun Hyun South Korea 22 715 1.1× 481 0.8× 338 0.6× 605 1.5× 104 0.4× 41 1.6k

Countries citing papers authored by Ling Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ling Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Yang. A scholar is included among the top collaborators of Ling Yang 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 Ling Yang. Ling Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Peng, Ling Yang, Xiangkang Yin, et al.. (2025). The lncRNA MIR503HG/miR-16-5p/FOSL1 pathway mediates autophagy to promote esophageal epithelial cells proliferation and EMT in esophageal restenosis. Archives of Biochemistry and Biophysics. 772. 110536–110536.
2.
Ke, Yalei, Derrick Bennett, Neil Wright, et al.. (2025). Phenome-wide association of physical activity with morbidity and mortality risk in China: A prospective cohort study. The Innovation. 6(7). 100886–100886. 1 indexed citations
3.
Zhu, Xinxin, Junjiao Yang, Xiangyu Zhou, et al.. (2025). Chromatin accessibility dynamics and transcriptional regulatory networks underlying the primary nitrogen response in rice roots. Plant Communications. 6(7). 101392–101392. 2 indexed citations
4.
Chen, Baozheng, Zijiang Yang, Ling Yang, et al.. (2024). Chromosome-scale genome assembly of Codonopsis pilosula and comparative genomic analyses shed light on its genome evolution. Frontiers in Plant Science. 15. 1469375–1469375. 1 indexed citations
5.
Yu, Wei, Yalei Ke, Jun Lv, et al.. (2024). Preserved vegetable consumption and gastrointestinal tract cancers: A prospective study. Journal of Global Health. 14. 4191–4191. 2 indexed citations
6.
Ke, Yalei, Dianjianyi Sun, Pei Pei, et al.. (2024). Associations of Muscle‐Related Metrics With Respiratory Disease in Chinese Adults: A Prospective Cohort Study. Journal of Cachexia Sarcopenia and Muscle. 16(1). e13650–e13650. 1 indexed citations
7.
Guo, Qian, Qingchun Lu, Dechun Feng, et al.. (2023). A novel NEDD4L-TXNIP-CHOP axis in the pathogenesis of nonalcoholic steatohepatitis. Theranostics. 13(7). 2210–2225. 13 indexed citations
9.
Guo, Qian, Qingchun Lu, Juan Lü, et al.. (2021). Identification of Gm15441, a Txnip antisense lncRNA, as a critical regulator in liver metabolic homeostasis. Cell & Bioscience. 11(1). 208–208. 5 indexed citations
10.
Zhao, Hu, Jiacheng Li, Ling Yang, et al.. (2021). An inferred functional impact map of genetic variants in rice. Molecular Plant. 14(9). 1584–1599. 89 indexed citations
11.
Lu, Qingchun, Po‐Shun Wang, & Ling Yang. (2021). Golgi-associated Rab GTPases implicated in autophagy. Cell & Bioscience. 11(1). 35–35. 29 indexed citations
12.
Yang, Jining, Xiaoying Zhang, Long Yi, et al.. (2019). Hepatic PKA inhibition accelerates the lipid accumulation in liver. Nutrition & Metabolism. 16(1). 69–69. 15 indexed citations
13.
Yang, Ling, Ping Li, Wenjing Yang, et al.. (2016). Integrative Transcriptome Analyses of Metabolic Responses in Mice Define Pivotal LncRNA Metabolic Regulators. Cell Metabolism. 24(4). 627–639. 91 indexed citations
14.
Zhang, Jing, et al.. (2016). Biochemical remission by chemoradiotherapy in male mediastinal choriocarcinoma with diffuse lung metastasis: A case report. Oncology Letters. 11(4). 2615–2618. 5 indexed citations
15.
Zhu, Andrew X., Joon Oh Park, Baek‐Yeol Ryoo, et al.. (2015). 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. The Lancet Oncology. 16(7). 859–870. 634 indexed citations breakdown →
16.
Li, Ping, Xiangbo Ruan, Ling Yang, et al.. (2015). A Liver-Enriched Long Non-Coding RNA, lncLSTR, Regulates Systemic Lipid Metabolism in Mice. Cell Metabolism. 21(3). 455–467. 237 indexed citations
18.
Ruan, Xiangbo, Yixuan Zhang, Ling Yang, et al.. (2010). Apolipoprotein A-I possesses an anti-obesity effect associated with increase of energy expenditure and up-regulation of UCP1 in brown fat. Journal of Cellular and Molecular Medicine. 15(4). 763–772. 84 indexed citations
19.
Yang, Ling, Ying Wu, Huaixin Li, et al.. (2008). Potential association of INSIG2 rs7566605 polymorphism with body weight in a Chinese subpopulation. European Journal of Human Genetics. 16(6). 759–761. 10 indexed citations
20.
Kuang, Chenzhong, Yan Xiao, Ling Yang, et al.. (2006). Intragenic deletion of Tgif causes defectsin brain development. Human Molecular Genetics. 15(24). 3508–3519. 37 indexed citations

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.

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