Ying Chang

475 total citations
21 papers, 397 citations indexed

About

Ying Chang is a scholar working on Molecular Biology, Genetics and Biochemistry. According to data from OpenAlex, Ying Chang has authored 21 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Biochemistry. Recurrent topics in Ying Chang's work include Amino Acid Enzymes and Metabolism (5 papers), Bacterial Genetics and Biotechnology (5 papers) and Metabolism and Genetic Disorders (3 papers). Ying Chang is often cited by papers focused on Amino Acid Enzymes and Metabolism (5 papers), Bacterial Genetics and Biotechnology (5 papers) and Metabolism and Genetic Disorders (3 papers). Ying Chang collaborates with scholars based in China, United States and Italy. Ying Chang's co-authors include John E. Cronan, Youfu Luo, Wei Ang, Tao Yang, Tina K. Van Dyk, Dana R. Smulski, Yuquan Wei, Zitai Sang, C Grabau and Changyang Gong and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Scientific Reports.

In The Last Decade

Ying Chang

19 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Chang China 11 251 103 78 59 43 21 397
Gitte Meriläinen Finland 7 349 1.4× 19 0.2× 50 0.6× 31 0.5× 109 2.5× 9 433
Tsuyoshi Nakamatsu Japan 14 563 2.2× 86 0.8× 129 1.7× 15 0.3× 96 2.2× 32 640
Barry Henderson United States 8 441 1.8× 31 0.3× 32 0.4× 34 0.6× 144 3.3× 11 529
Anne Pribat United States 9 323 1.3× 42 0.4× 31 0.4× 8 0.1× 54 1.3× 10 431
Terence I. HALE Switzerland 4 536 2.1× 262 2.5× 46 0.6× 35 0.6× 268 6.2× 4 690
Kimberly M. Mayer United States 10 444 1.8× 80 0.8× 41 0.5× 15 0.3× 27 0.6× 14 592
Mikiro Hayashi Japan 13 498 2.0× 63 0.6× 91 1.2× 16 0.3× 77 1.8× 16 572
Joseph T. Holden United States 15 396 1.6× 161 1.6× 56 0.7× 31 0.5× 50 1.2× 32 592
Maybelle Kho Go Singapore 14 361 1.4× 35 0.3× 19 0.2× 29 0.5× 120 2.8× 26 493
Natalia V. Shatskaya Russia 12 148 0.6× 70 0.7× 24 0.3× 26 0.4× 13 0.3× 15 408

Countries citing papers authored by Ying Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ying Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Chang. A scholar is included among the top collaborators of Ying 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 Ying Chang. Ying 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.
Zhang, Wenhao, Yan Liu, Yiding Zhao, et al.. (2025). Derivation and genetic-screening of human haploid trophoblast stem cells. Science Bulletin. 70(8). 1219–1223.
2.
Lang, Julie, et al.. (2025). Cleavable donor‐assisted CRISPR/Cas9 system significantly improves the efficiency of large DNA insertion in Physcomitrium patens. The Plant Journal. 121(4). e70020–e70020. 1 indexed citations
3.
Zhao, Yiding, Yuna Wang, Ying Chang, et al.. (2023). Haploid-genetic screening of trophectoderm specification identifies Dyrk1a as a repressor of totipotent-like status. Science Advances. 9(51). eadi5683–eadi5683. 4 indexed citations
4.
Chang, Ying, et al.. (2023). The peptidoglycan synthase PBP interacts with PLASTID DIVISION2 to promote chloroplast division in Physcomitrium patens. New Phytologist. 241(3). 1115–1129. 3 indexed citations
5.
Shen, Xiong, et al.. (2019). Study on damage characteristics of fused silica glass induced by plasma shock wave with finite element method. Journal of Physics D Applied Physics. 52(43). 435302–435302. 4 indexed citations
6.
Yang, Yang, Wei Ang, Ying Chang, et al.. (2016). Scaffold Hopping Toward Agomelatine: Novel 3, 4-Dihydroisoquinoline Compounds as Potential Antidepressant Agents. Scientific Reports. 6(1). 34711–34711. 11 indexed citations
8.
Ang, Wei, Chen Gong, Ying Chang, et al.. (2014). Synthesis and biological evaluation of novel naphthalene compounds as potential antidepressant agents. European Journal of Medicinal Chemistry. 82. 263–273. 16 indexed citations
9.
Chang, Ying, Wei Ang, Yuanyuan Liu, et al.. (2014). Synthesis and evaluation of amide side-chain modified Agomelatine analogues as potential antidepressant-like agents. Bioorganic & Medicinal Chemistry Letters. 24(7). 1672–1676. 8 indexed citations
10.
Liu, Yuanyuan, Li Xiong, Ying Chang, et al.. (2013). Phosphoinositide 3-kinase δ/γ inhibition does not prevent concanavalin A-induced hepatitis. Molecular Medicine Reports. 8(5). 1305–1310. 1 indexed citations
11.
Yang, Jianzhong, Wei Ang, Tao Yang, et al.. (2013). 3H-1,2,4-Dithiazol-3-one compounds as novel potential affordable antitubercular agents. Bioorganic & Medicinal Chemistry Letters. 23(5). 1424–1427. 7 indexed citations
12.
13.
Gong, Changyang, Tao Yang, Xiaoyan Yang, et al.. (2012). Carrier-free nanoassemblies of a novel oxazolidinone compound FYL-67 display antimicrobial activity on methicillin-resistant Staphylococcus aureus. Nanoscale. 5(1). 275–283. 12 indexed citations
14.
Chang, Ying, et al.. (1991). Locations of the lip, poxB, and ilvBN genes on the physical map of Escherichia coli. Journal of Bacteriology. 173(17). 5258–5259. 7 indexed citations
15.
Grabau, C, Ying Chang, & John E. Cronan. (1989). Lipid Binding by Escherichia coli Pyruvate Oxidase Is Disrupted by Small Alterations of the Carboxyl-terminal Region. Journal of Biological Chemistry. 264(21). 12510–12519. 16 indexed citations
16.
Chang, Ying & John E. Cronan. (1988). Common ancestry of Escherichia coli pyruvate oxidase and the acetohydroxy acid synthases of the branched-chain amino acid biosynthetic pathway. Journal of Bacteriology. 170(9). 3937–3945. 62 indexed citations
17.
Dyk, Tina K. Van, Dana R. Smulski, & Ying Chang. (1987). Pleiotropic effects of poxA regulatory mutations of Escherichia coli and Salmonella typhimurium, mutations conferring sulfometuron methyl and alpha-ketobutyrate hypersensitivity. Journal of Bacteriology. 169(10). 4540–4546. 27 indexed citations
18.
Chang, Ying & John E. Cronan. (1986). Molecular cloning, DNA sequencing, and enzymatic analyses of two Escherichia coli pyruvate oxidase mutants defective in activation by lipids. Journal of Bacteriology. 167(1). 312–318. 19 indexed citations
19.
Chang, Ying & John E. Cronan. (1983). Genetic and biochemical analyses of Escherichia coli strains having a mutation in the structural gene (poxB) for pyruvate oxidase. Journal of Bacteriology. 154(2). 756–762. 63 indexed citations
20.
Chang, Ying & John E. Cronan. (1982). Mapping nonselectable genes of Escherichia coli by using transposon Tn10: location of a gene affecting pyruvate oxidase. Journal of Bacteriology. 151(3). 1279–1289. 66 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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