Hao Chang

52 total papers · 1.6k total citations
29 papers, 1.1k citations indexed

About

Hao Chang is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Hao Chang has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Biophysics. Recurrent topics in Hao Chang's work include Advanced Fluorescence Microscopy Techniques (5 papers), CRISPR and Genetic Engineering (5 papers) and Sperm and Testicular Function (3 papers). Hao Chang is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (5 papers), CRISPR and Genetic Engineering (5 papers) and Sperm and Testicular Function (3 papers). Hao Chang collaborates with scholars based in China, United States and France. Hao Chang's co-authors include Richard R. Behringer, Tao Xu, Yongdeng Zhang, Wei Ji, Pingyong Xu, Jun‐Long Zhang, Mingshu Zhang, Jingze Lu, Makoto M. Taketo and Florian Guillou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Development and Cancer Research.

In The Last Decade

Hao Chang

28 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hao Chang 591 316 221 180 124 29 1.1k
Doory Kim 446 0.8× 427 1.4× 63 0.3× 87 0.5× 210 1.7× 41 1.2k
Vito Mennella 911 1.5× 228 0.7× 287 1.3× 60 0.3× 104 0.8× 29 1.4k
Catherine Souchier 634 1.1× 131 0.4× 117 0.5× 87 0.5× 15 0.1× 55 1.3k
Heejin Choi 641 1.1× 506 1.6× 130 0.6× 116 0.6× 43 0.3× 39 1.5k
Hidekazu Tsutsui 743 1.3× 469 1.5× 51 0.2× 34 0.2× 62 0.5× 41 1.4k
Gaëlle Recher 642 1.1× 237 0.8× 75 0.3× 80 0.4× 9 0.1× 32 1.2k
Samuel J. Kenny 585 1.0× 318 1.0× 27 0.1× 44 0.2× 95 0.8× 13 1.2k
Johanna L. Höög 1.2k 2.0× 39 0.1× 160 0.7× 44 0.2× 100 0.8× 38 1.5k
Lilian Soon 727 1.2× 66 0.2× 63 0.3× 37 0.2× 37 0.3× 33 1.3k
Haim Giloh 790 1.3× 76 0.2× 167 0.8× 32 0.2× 12 0.1× 18 1.2k

Countries citing papers authored by Hao Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hao Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Chang

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

All Works

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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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