Ni‐Chen Chang

853 total citations
9 papers, 472 citations indexed

About

Ni‐Chen Chang is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Ni‐Chen Chang has authored 9 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Ni‐Chen Chang's work include Insect and Arachnid Ecology and Behavior (4 papers), CRISPR and Genetic Engineering (3 papers) and Plant and animal studies (3 papers). Ni‐Chen Chang is often cited by papers focused on Insect and Arachnid Ecology and Behavior (4 papers), CRISPR and Genetic Engineering (3 papers) and Plant and animal studies (3 papers). Ni‐Chen Chang collaborates with scholars based in Taiwan, United States and Italy. Ni‐Chen Chang's co-authors include Cédric Feschotte, Rachel Cosby, Peter R. Oxley, Benjamin J. Matthews, Daniel J. C. Kronauer, Sean K. McKenzie, Waring Trible, Leonora Olivos-Cisneros, Jonathan Saragosti and John Wang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Ni‐Chen Chang

9 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ni‐Chen Chang Taiwan 8 221 210 172 137 134 9 472
Zhongjun Gong China 13 160 0.7× 197 0.9× 133 0.8× 204 1.5× 94 0.7× 39 548
Aide Macias-Muñoz United States 12 161 0.7× 103 0.5× 42 0.2× 174 1.3× 133 1.0× 16 371
Georg Oberhofer United States 11 197 0.9× 412 2.0× 83 0.5× 169 1.2× 48 0.4× 15 576
Dafeng Chen China 6 155 0.7× 146 0.7× 42 0.2× 217 1.6× 79 0.6× 7 388
David W. Loehlin United States 13 324 1.5× 201 1.0× 93 0.5× 116 0.8× 213 1.6× 21 667
Elena Dalla Benetta United States 10 96 0.4× 121 0.6× 130 0.8× 181 1.3× 53 0.4× 19 412
Héloïse Bastide France 11 313 1.4× 124 0.6× 98 0.6× 84 0.6× 185 1.4× 20 488
Catherine M. Ward United States 7 169 0.8× 340 1.6× 79 0.5× 85 0.6× 69 0.5× 7 569
Jennifer Moran United States 8 131 0.6× 128 0.6× 67 0.4× 67 0.5× 80 0.6× 17 322
Jacques-Déric Rouault France 12 191 0.9× 137 0.7× 125 0.7× 84 0.6× 161 1.2× 22 415

Countries citing papers authored by Ni‐Chen Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ni‐Chen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ni‐Chen Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ni‐Chen Chang. A scholar is included among the top collaborators of Ni‐Chen 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 Ni‐Chen Chang. Ni‐Chen 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, Ni‐Chen, et al.. (2025). Gag proteins encoded by endogenous retroviruses are required for zebrafish development. Proceedings of the National Academy of Sciences. 122(18). e2411446122–e2411446122. 4 indexed citations
2.
Wells, Jonathan N., et al.. (2023). Transposable elements drive the evolution of metazoan zinc finger genes. Genome Research. 33(8). 1325–1339. 22 indexed citations
3.
4.
Fontana, Silvia, et al.. (2019). The fire ant social supergene is characterized by extensive gene and transposable element copy number variation. Molecular Ecology. 29(1). 105–120. 10 indexed citations
5.
Cosby, Rachel, Ni‐Chen Chang, & Cédric Feschotte. (2019). Host–transposon interactions: conflict, cooperation, and cooption. Genes & Development. 33(17-18). 1098–1116. 171 indexed citations
6.
Huang, Yu‐Ching, et al.. (2018). Multiple large inversions and breakpoint rewiring of gene expression in the evolution of the fire ant social supergene. Proceedings of the Royal Society B Biological Sciences. 285(1878). 20180221–20180221. 27 indexed citations
7.
Qiu, Bitao, Rasmus Stenbak Larsen, Ni‐Chen Chang, et al.. (2018). Towards reconstructing the ancestral brain gene-network regulating caste differentiation in ants. Nature Ecology & Evolution. 2(11). 1782–1791. 34 indexed citations
8.
Trible, Waring, Leonora Olivos-Cisneros, Sean K. McKenzie, et al.. (2017). orco Mutagenesis Causes Loss of Antennal Lobe Glomeruli and Impaired Social Behavior in Ants. Cell. 170(4). 727–735.e10. 188 indexed citations
9.
Chang, Ni‐Chen, et al.. (2016). Effects of Dietary Fiber on Gut Retention Time in Captive Macaca cyclopis, Macaca fascicularis, Hylobates lar, and Pongo pygmaeus and the Germination of Ingested Seeds. International Journal of Primatology. 37(6). 671–687. 8 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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