Chang‐Yu Chang

777 total citations · 1 hit paper
9 papers, 426 citations indexed

About

Chang‐Yu Chang is a scholar working on Molecular Biology, Sociology and Political Science and Genetics. According to data from OpenAlex, Chang‐Yu Chang has authored 9 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Sociology and Political Science and 5 papers in Genetics. Recurrent topics in Chang‐Yu Chang's work include Evolution and Genetic Dynamics (5 papers), Evolutionary Game Theory and Cooperation (5 papers) and Gene Regulatory Network Analysis (3 papers). Chang‐Yu Chang is often cited by papers focused on Evolution and Genetic Dynamics (5 papers), Evolutionary Game Theory and Cooperation (5 papers) and Gene Regulatory Network Analysis (3 papers). Chang‐Yu Chang collaborates with scholars based in United States, Spain and Taiwan. Chang‐Yu Chang's co-authors include Álvaro Sánchez, Jean C. C. Vila, Sylvie Estrela, Djordje Bajić, María Rebolleda‐Gómez, Juan Díaz‐Colunga, Alicia Sánchez-Gorostiaga, Nanxi Lu, Joshua E. Goldford and Melisa L. Osborne and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Analytical Chemistry.

In The Last Decade

Chang‐Yu Chang

9 papers receiving 424 citations

Hit Papers

Emergent coexistence in multispecies microbial communities 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang‐Yu Chang United States 8 238 123 99 88 59 9 426
Meike T. Wortel Netherlands 11 469 2.0× 98 0.8× 134 1.4× 39 0.4× 48 0.8× 16 662
Shaul Pollak United States 12 353 1.5× 190 1.5× 178 1.8× 40 0.5× 61 1.0× 18 539
Anthony Ortiz Lopez United States 3 222 0.9× 140 1.1× 78 0.8× 53 0.6× 66 1.1× 5 405
Edwin H. Wintermute France 8 480 2.0× 146 1.2× 142 1.4× 73 0.8× 30 0.5× 13 653
Michael T. Mee United States 4 652 2.7× 247 2.0× 230 2.3× 90 1.0× 79 1.3× 4 906
Heiko T. Kiesewalter Denmark 8 241 1.0× 136 1.1× 92 0.9× 27 0.3× 170 2.9× 10 436
Theresa Hölscher Germany 10 309 1.3× 185 1.5× 142 1.4× 16 0.2× 92 1.6× 11 464
Katherine S. Geist United States 7 283 1.2× 70 0.6× 157 1.6× 20 0.2× 181 3.1× 9 515
Kristen S. Swithers United States 12 390 1.6× 225 1.8× 86 0.9× 7 0.1× 56 0.9× 17 478
Philippe Remigi France 15 228 1.0× 104 0.8× 124 1.3× 46 0.5× 539 9.1× 21 756

Countries citing papers authored by Chang‐Yu Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Yu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang‐Yu Chang

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

All Works

9 of 9 papers shown
1.
Chang, Chang‐Yu, Djordje Bajić, Jean C. C. Vila, Sylvie Estrela, & Álvaro Sánchez. (2023). Emergent coexistence in multispecies microbial communities. Science. 381(6655). 343–348. 75 indexed citations breakdown →
2.
Díaz‐Colunga, Juan, Nanxi Lu, Alicia Sánchez-Gorostiaga, et al.. (2022). Top-down and bottom-up cohesiveness in microbial community coalescence. Proceedings of the National Academy of Sciences. 119(6). 43 indexed citations
3.
Chang, Chang‐Yu, Jean C. C. Vila, Richard Li, et al.. (2021). Engineering complex communities by directed evolution. Nature Ecology & Evolution. 5(7). 1011–1023. 68 indexed citations
4.
Estrela, Sylvie, Jean C. C. Vila, Nanxi Lu, et al.. (2021). Functional attractors in microbial community assembly. Cell Systems. 13(1). 29–42.e7. 69 indexed citations
5.
Sánchez, Álvaro, Jean C. C. Vila, Chang‐Yu Chang, et al.. (2021). Directed Evolution of Microbial Communities. Annual Review of Biophysics. 50(1). 323–341. 62 indexed citations
6.
Chang, Chang‐Yu, Melisa L. Osborne, Djordje Bajić, & Álvaro Sánchez. (2020). Artificially selecting bacterial communities using propagule strategies†. Evolution. 74(10). 2392–2403. 33 indexed citations
7.
Chang, Chang‐Yu, et al.. (2018). Ecological effects of cellular computing in microbial populations. Natural Computing. 17(4). 811–822. 4 indexed citations
8.
Ho, Lin‐Chen, et al.. (2015). Aptamer-Conjugated Polymeric Nanoparticles for the Detection of Cancer Cells through “Turn-On” Retro-Self-Quenched Fluorescence. Analytical Chemistry. 87(9). 4925–4932. 34 indexed citations
9.
Tseng, Tien‐Sheng, Keng‐Chang Tsai, Wang-Chuan Chen, et al.. (2015). Discovery of Potent Cysteine-Containing Dipeptide Inhibitors against Tyrosinase: A Comprehensive Investigation of 20 × 20 Dipeptides in Inhibiting Dopachrome Formation. Journal of Agricultural and Food Chemistry. 63(27). 6181–6188. 38 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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