Dan Chang

37 total papers · 1.8k total citations
23 papers, 845 citations indexed

About

Dan Chang is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Dan Chang has authored 23 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Genetics and 3 papers in Epidemiology. Recurrent topics in Dan Chang's work include Nicotinic Acetylcholine Receptors Study (5 papers), Genetic diversity and population structure (4 papers) and Ion channel regulation and function (4 papers). Dan Chang is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (5 papers), Genetic diversity and population structure (4 papers) and Ion channel regulation and function (4 papers). Dan Chang collaborates with scholars based in United States, China and Panama. Dan Chang's co-authors include Thomas F. Duda, Jinmei Peng, Tongqing An, Guangzhi Tong, Hongyuan Zhao, Zhi‐Jun Tian, Chaoliang Leng, Jiazeng Chen, Na Li and Yan Sun and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Dan Chang

21 papers receiving 835 citations

Author Peers

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

Author						Papers	Cites
Dan Chang	363	244	166	131	127	23	845
Fei Liu	181 0.5×	265 1.1×	84 0.5×	121 0.9×	42 0.3×	21	815
Jan Priem	492 1.4×	202 0.8×	146 0.9×	85 0.6×	20 0.2×	21	844
Fanya Zeng	141 0.4×	282 1.2×	92 0.6×	315 2.4×	38 0.3×	27	851
Elizabeth Vitalis	352 1.0×	128 0.5×	58 0.3×	61 0.5×	23 0.2×	15	722
Brittany Rife Magalis	362 1.0×	101 0.4×	153 0.9×	66 0.5×	28 0.2×	34	902
Serge Chwetzoff	326 0.9×	69 0.3×	264 1.6×	139 1.1×	76 0.6×	26	709
Yu Li	154 0.4×	181 0.7×	89 0.5×	238 1.8×	133 1.0×	54	827
Alan M. Walfield	410 1.1×	73 0.3×	71 0.4×	25 0.2×	33 0.3×	27	961
Luc Sofer	504 1.4×	101 0.4×	184 1.1×	90 0.7×	20 0.2×	19	1.0k
Sameer D. Pant	324 0.9×	219 0.9×	328 2.0×	117 0.9×	12 0.1×	69	903

Countries citing papers authored by Dan Chang

Since Specialization

Citations

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

Fields of papers citing papers by Dan Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Chang. A scholar is included among the top collaborators of Dan 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 Dan Chang. Dan 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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