Chonglin Yang

3.5k total citations · 1 hit paper
51 papers, 2.2k citations indexed

About

Chonglin Yang is a scholar working on Molecular Biology, Cell Biology and Aging. According to data from OpenAlex, Chonglin Yang has authored 51 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 19 papers in Cell Biology and 19 papers in Aging. Recurrent topics in Chonglin Yang's work include Genetics, Aging, and Longevity in Model Organisms (19 papers), Cellular transport and secretion (15 papers) and Autophagy in Disease and Therapy (14 papers). Chonglin Yang is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (19 papers), Cellular transport and secretion (15 papers) and Autophagy in Disease and Therapy (14 papers). Chonglin Yang collaborates with scholars based in China, United States and Japan. Chonglin Yang's co-authors include Xiaochen Wang, France Carrier, Yigong Shi, Ding Xue, Jijie Chai, Youli Jian, Meijiao Li, Zhiyang Gao, Xin Wang and Dongfeng Zhao and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Chonglin Yang

48 papers receiving 2.2k citations

Hit Papers

Lysosome biogenesis: Regulation and functions 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chonglin Yang China 24 1.3k 510 491 369 281 51 2.2k
Sidney Yu Hong Kong 26 1.1k 0.9× 421 0.8× 842 1.7× 263 0.7× 252 0.9× 46 2.1k
Samuel Long United States 16 3.1k 2.4× 474 0.9× 582 1.2× 255 0.7× 450 1.6× 27 4.0k
William C. Comb United States 12 1.2k 0.9× 394 0.8× 334 0.7× 82 0.2× 289 1.0× 16 2.1k
Nuno Raimundo Germany 23 2.3k 1.8× 723 1.4× 320 0.7× 169 0.5× 523 1.9× 41 3.5k
Stephen G. Dann United States 16 1.8k 1.4× 322 0.6× 410 0.8× 86 0.2× 434 1.5× 20 2.6k
Héctor Sandoval United States 20 1.6k 1.3× 995 2.0× 490 1.0× 81 0.2× 499 1.8× 29 2.9k
María L. Cayuela Spain 27 1.2k 0.9× 147 0.3× 333 0.7× 311 0.8× 787 2.8× 57 2.7k
Katarzyna Mnich Ireland 17 1.6k 1.3× 538 1.1× 1.1k 2.2× 86 0.2× 275 1.0× 24 2.7k
Krisztina Takács‐Vellai Hungary 20 1.1k 0.8× 722 1.4× 249 0.5× 1.1k 2.9× 483 1.7× 38 2.2k
Barbara Conradt Germany 32 2.6k 2.1× 360 0.7× 765 1.6× 1.5k 3.9× 250 0.9× 72 3.6k

Countries citing papers authored by Chonglin Yang

Since Specialization
Citations

This map shows the geographic impact of Chonglin 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 Chonglin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chonglin Yang more than expected).

Fields of papers citing papers by Chonglin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chonglin 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 Chonglin Yang. The network helps show where Chonglin Yang may publish in the future.

Co-authorship network of co-authors of Chonglin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chonglin Yang. A scholar is included among the top collaborators of Chonglin 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 Chonglin Yang. Chonglin 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.
Kong, Qiongman, Meijiao Li, Leonard Krall, et al.. (2025). Homocysteine disrupts lysosomal function by V-ATPase inhibition. The Journal of Cell Biology. 225(1).
2.
Radulovic, Maja, Chonglin Yang, & Harald Stenmark. (2025). Lysosomal membrane homeostasis and its importance in physiology and disease. Nature Reviews Molecular Cell Biology. 27(1). 71–87. 6 indexed citations
4.
Yin, Qiuyuan, et al.. (2024). LYSMD proteins promote activation of Rab32-family GTPases for lysosome-related organelle biogenesis. The Journal of Cell Biology. 223(10). 1 indexed citations
5.
Yin, Qiuyuan & Chonglin Yang. (2024). Exploring lysosomal biology: current approaches and methods. Biophysics Reports. 10(2). 111–111. 2 indexed citations
6.
Wang, Xin, Fengxia Zhang, Hejiang Zhou, et al.. (2022). A feedback loop engaging propionate catabolism intermediates controls mitochondrial morphology. Nature Cell Biology. 24(4). 526–537. 20 indexed citations
7.
Li, Yuan, Xin Wang, Meijiao Li, Chonglin Yang, & Xiaochen Wang. (2021). M05B5.4 (lysosomal phospholipase A2) promotes disintegration of autophagic vesicles to maintain C. elegans development. Autophagy. 18(3). 595–607. 11 indexed citations
8.
Yang, Chonglin & Xiaochen Wang. (2021). Lysosome biogenesis: Regulation and functions. The Journal of Cell Biology. 220(6). 289 indexed citations breakdown →
9.
Ma, Tengfei, Liyuan Zhao, Jie Zhang, et al.. (2021). A pair of transporters controls mitochondrial Zn2+ levels to maintain mitochondrial homeostasis. Protein & Cell. 13(3). 180–202. 53 indexed citations
10.
Shen, Xuning, Min Wang, Xin Wang, et al.. (2021). Loss of RNA-Binding Protein HuR Leads to Defective Ependymal Cells and Hydrocephalus. Journal of Neuroscience. 42(2). 202–219. 8 indexed citations
11.
Sun, Yanan, Meijiao Li, Dongfeng Zhao, et al.. (2020). Lysosome activity is modulated by multiple longevity pathways and is important for lifespan extension in C. elegans. eLife. 9. 122 indexed citations
12.
Ma, Xinli, Kai Liu, Jian Li, et al.. (2018). A non-canonical GTPase interaction enables ORP1L-Rab7-RILP complex formation and late endosome positioning. Journal of Biological Chemistry. 293(36). 14155–14164. 28 indexed citations
13.
Chen, Didi, Youli Jian, Xuezhao Liu, et al.. (2013). Clathrin and AP2 Are Required for Phagocytic Receptor-Mediated Apoptotic Cell Clearance in Caenorhabditis elegans. PLoS Genetics. 9(5). e1003517–e1003517. 37 indexed citations
14.
Jian, Youli, Zhiqiang Gao, Jinjin Sun, et al.. (2009). RNA aptamers interfering with nucleophosmin oligomerization induce apoptosis of cancer cells. Oncogene. 28(47). 4201–4211. 54 indexed citations
15.
Yang, Mei, Jianwei Sun, Xiaojuan Sun, et al.. (2009). Caenorhabditis elegans Protein Arginine Methyltransferase PRMT-5 Negatively Regulates DNA Damage-Induced Apoptosis. PLoS Genetics. 5(6). e1000514–e1000514. 56 indexed citations
16.
Shen, Qinfang, Zhiyang Gao, Jie Cui, et al.. (2009). Adenine Nucleotide Translocator Cooperates with Core Cell Death Machinery To Promote Apoptosis in Caenorhabditis elegans. Molecular and Cellular Biology. 29(14). 3881–3893. 20 indexed citations
17.
Yang, Chonglin. (2009). Nucleolin Binds to the Proliferating Cell Nuclear Antigen and Inhibits Nucleotide Excision Repair. PubMed. 1(3). 130–137. 18 indexed citations
18.
Xiao, Hui, Didi Chen, Jing Xu, et al.. (2008). Lysosome Biogenesis Mediated byvps-18Affects Apoptotic Cell Degradation inCaenorhabditis elegans. Molecular Biology of the Cell. 20(1). 21–32. 49 indexed citations
19.
Yang, Chonglin, et al.. (2006). RNA Aptamers Targeting the Cell Death Inhibitor CED-9 Induce Cell Killing in Caenorhabditis elegans. Journal of Biological Chemistry. 281(14). 9137–9144. 9 indexed citations
20.
Wang, Xiaochen, Chonglin Yang, Jijie Chai, Yigong Shi, & Ding Xue. (2002). Mechanisms of AIF-Mediated Apoptotic DNA Degradation in Caenorhabditis elegans. Science. 298(5598). 1587–1592. 316 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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