Min Chang

29 total papers · 688 total citations
20 papers, 595 citations indexed

About

Min Chang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Min Chang has authored 20 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Min Chang's work include Neuropeptides and Animal Physiology (16 papers), Sleep and Wakefulness Research (9 papers) and Hypothalamic control of reproductive hormones (7 papers). Min Chang is often cited by papers focused on Neuropeptides and Animal Physiology (16 papers), Sleep and Wakefulness Research (9 papers) and Hypothalamic control of reproductive hormones (7 papers). Min Chang collaborates with scholars based in China, Hong Kong and Bulgaria. Min Chang's co-authors include Yali Peng, Ren-Wen Han, Rui Wang, Wei Li, Ruisan Zhang, Jiannan Zhang, Hongjiao Xu, Jielin Jiang, Wei Li and Hao Xue and has published in prestigious journals such as Applied Thermal Engineering, Behavioural Brain Research and Neuropharmacology.

In The Last Decade

Min Chang

20 papers receiving 594 citations

Author Peers

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

Author						Papers	Cites
Min Chang	401	232	189	154	103	20	595
Teizo Ueyama	283 0.7×	92 0.4×	133 0.7×	153 1.0×	123 1.2×	30	674
Massimo Zanni	367 0.9×	78 0.3×	170 0.9×	164 1.1×	150 1.5×	20	616
Ágnes Csáki	348 0.9×	289 1.2×	240 1.3×	96 0.6×	63 0.6×	26	644
Luping Yin	325 0.8×	318 1.4×	98 0.5×	124 0.8×	72 0.7×	18	661
Joan Burns	248 0.6×	183 0.8×	200 1.1×	114 0.7×	54 0.5×	12	625
Dennison A. Smith	304 0.8×	180 0.8×	152 0.8×	117 0.8×	55 0.5×	16	557
Ellen L. Sutin	301 0.8×	156 0.7×	286 1.5×	140 0.9×	124 1.2×	12	542
Geoffrey S. Hamill	498 1.2×	116 0.5×	85 0.4×	319 2.1×	94 0.9×	16	682
Katuya Zyo	419 1.0×	333 1.4×	164 0.9×	140 0.9×	60 0.6×	21	635
Barbara M. Faggin	379 0.9×	313 1.3×	46 0.2×	104 0.7×	45 0.4×	13	671

Countries citing papers authored by Min Chang

Since Specialization

Citations

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

Fields of papers citing papers by Min Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Chang

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