Liming Chang

1.8k total citations
63 papers, 1.3k citations indexed

About

Liming Chang is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Liming Chang has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 12 papers in Ecology and 10 papers in Genetics. Recurrent topics in Liming Chang's work include Amphibian and Reptile Biology (10 papers), Physiological and biochemical adaptations (9 papers) and Retinoids in leukemia and cellular processes (8 papers). Liming Chang is often cited by papers focused on Amphibian and Reptile Biology (10 papers), Physiological and biochemical adaptations (9 papers) and Retinoids in leukemia and cellular processes (8 papers). Liming Chang collaborates with scholars based in China, United States and Czechia. Liming Chang's co-authors include Robert P. Hebbel, Ping‐Yee Law, Kalpna Gupta, Douglas Yee, Smita Kshirsagar, Robert A. Schwartz, Li‐Na Wei, Jianping Jiang, Wei Zhu and Anna Solovey and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Liming Chang

55 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liming Chang China 17 593 287 270 158 151 63 1.3k
Luca Massimino Italy 26 1.2k 2.1× 108 0.4× 343 1.3× 182 1.2× 408 2.7× 73 2.1k
Concetta Federico Italy 28 1.0k 1.8× 72 0.3× 335 1.2× 137 0.9× 315 2.1× 110 1.8k
Xuelian Wang China 20 473 0.8× 51 0.2× 254 0.9× 72 0.5× 51 0.3× 93 1.4k
M. Isabel Arenas Spain 27 699 1.2× 37 0.1× 127 0.5× 103 0.7× 334 2.2× 74 1.8k
Li Ding China 24 548 0.9× 44 0.2× 157 0.6× 157 1.0× 164 1.1× 86 1.3k
Peter J. Anderson Australia 17 940 1.6× 58 0.2× 154 0.6× 188 1.2× 353 2.3× 60 1.5k
Zivar Salehi Iran 22 520 0.9× 34 0.1× 125 0.5× 125 0.8× 147 1.0× 143 1.3k
Seong-Jin Kim South Korea 19 497 0.8× 99 0.3× 41 0.2× 197 1.2× 87 0.6× 38 1.4k
Esther Kohler Switzerland 18 414 0.7× 56 0.2× 98 0.4× 340 2.2× 48 0.3× 19 1.4k
Katherine H. Karlson United States 24 1.1k 1.8× 23 0.1× 152 0.6× 142 0.9× 121 0.8× 27 2.0k

Countries citing papers authored by Liming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Liming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liming Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Liming Chang. A scholar is included among the top collaborators of Liming Chang 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 Liming Chang. Liming Chang 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.
Wen, Juan, Bo Zhao, Liming Chang, et al.. (2025). Physiology-Related Variations in the Blood Hormone and Metabolome of Endangered Hog Deer (Axis porcinus). Metabolites. 15(2). 126–126.
2.
Zhu, Wei, Liming Chang, Tian Zhao, et al.. (2025). Integrative transcriptomics and peptidomics approach reveals unexpectedly diverse endogenous secretory peptides in Odorrana grahami frog skin. BMC Biology. 23(1). 354–354. 1 indexed citations
3.
Wang, Jie, Cheng Sun, Liming Chang, et al.. (2025). DNA gains and losses in gigantic genomes do not track differences in transposable element-host silencing interactions. Communications Biology. 8(1). 704–704.
4.
Chang, Liming, Wei Zhu, & Jianping Jiang. (2024). What frog gill resorption brings: loss of function, cell death, and metabolic reorganization. Frontiers in Zoology. 21(1). 11–11. 1 indexed citations
6.
Chang, Liming, et al.. (2024). Single cell RNA analysis uncovers the cell differentiation and functionalization for air breathing of frog lung. Communications Biology. 7(1). 665–665.
7.
Zhu, Wei, et al.. (2024). Microbial diversity in mountain-dwelling amphibians: The combined effects of host and climatic factors. iScience. 27(6). 109907–109907. 4 indexed citations
8.
Chang, Liming, Xiu Jin, Yuan Rao, & Xiaodan Zhang. (2024). Predicting abiotic stress-responsive miRNA in plants based on multi-source features fusion and graph neural network. Plant Methods. 20(1). 33–33. 4 indexed citations
9.
Lv, Yan, Liming Chang, Lifeng Zhu, et al.. (2023). Size matters either way: Differently-sized microplastics affect amphibian host and symbiotic microbiota discriminately. Environmental Pollution. 328. 121634–121634. 22 indexed citations
10.
Zhu, Wei, Yin Qi, Xiaoyi Wang, et al.. (2022). Multi-Omics Approaches Revealed the Associations of Host Metabolism and Gut Microbiome With Phylogeny and Environmental Adaptation in Mountain Dragons. Frontiers in Microbiology. 13. 913700–913700. 9 indexed citations
11.
Chang, Liming, Wei Zhu, & Jianping Jiang. (2022). Albinism in the largest extant amphibian: A metabolic, endocrine, or immune problem?. Frontiers in Endocrinology. 13. 1053732–1053732. 2 indexed citations
12.
13.
Zhu, Wei, et al.. (2021). Animal gut microbiome mediates the effects of antibiotic pollution on an artificial freshwater system. Journal of Hazardous Materials. 425. 127968–127968. 32 indexed citations
14.
Zhu, Wei, et al.. (2021). Fatter or stronger: Resource allocation strategy and the underlying metabolic mechanisms in amphibian tadpoles. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 38. 100825–100825. 10 indexed citations
15.
Dai, Manyun, et al.. (2020). Inhibition of inflammation by SP600125 in cholestatic liver injury is dependent on the administration‑based exposure profile. International Journal of Molecular Medicine. 46(6). 2271–2279. 2 indexed citations
16.
Zhu, Wei, Liming Chang, Tian Zhao, Bin Wang, & Jianping Jiang. (2020). Remarkable metabolic reorganization and altered metabolic requirements in frog metamorphic climax. Frontiers in Zoology. 17(1). 30–30. 37 indexed citations
17.
Yan, Yu, et al.. (2019). A Novel Liposomal S-Propargyl-Cysteine: A Sustained Release of Hydrogen Sulfide Reducing Myocardial Fibrosis via TGF-β1/Smad Pathway. SHILAP Revista de lepidopterología. 2 indexed citations
18.
Shi, Xiaoli, Jin‐Ling Huo, Tiantian Qin, et al.. (2017). Targeting the Bcl-2 family and P-glycoprotein reverses paclitaxel resistance in human esophageal carcinoma cell line. Biomedicine & Pharmacotherapy. 90. 897–905. 25 indexed citations
19.
Wang, Jiantao, Liming Chang, Xin Song, et al.. (2014). Comparison of Primary Breast Cancer Size by Mammography and Sonography. Asian Pacific Journal of Cancer Prevention. 15(22). 9759–9761. 7 indexed citations
20.
Wei, Li‐Na, Chih‐Hao Lee, & Liming Chang. (1995). Retinoic acid induction of mouse cellular retinoic acid-binding protein-I gene expression is enhanced by sphinganine. Molecular and Cellular Endocrinology. 111(2). 207–211. 15 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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