Ming-Chu Xi

35 total papers · 1.0k total citations
33 papers, 773 citations indexed

About

Ming-Chu Xi is a scholar working on Cognitive Neuroscience, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ming-Chu Xi has authored 33 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 19 papers in Endocrine and Autonomic Systems and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ming-Chu Xi's work include Sleep and Wakefulness Research (20 papers), Neuroscience and Neuropharmacology Research (14 papers) and Neuroscience of respiration and sleep (12 papers). Ming-Chu Xi is often cited by papers focused on Sleep and Wakefulness Research (20 papers), Neuroscience and Neuropharmacology Research (14 papers) and Neuroscience of respiration and sleep (12 papers). Ming-Chu Xi collaborates with scholars based in United States, Uruguay and Japan. Ming-Chu Xi's co-authors include Michael H. Chase, Francisco R. Morales, Simon J. Fung, Jack Yamuy, Sharon Sampogna, Shigeru Kitazawa, Yukari Ohki, T. Hongo, Jianhua Zhang and Jianhua Zhang and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and Brain Research.

In The Last Decade

Ming-Chu Xi

33 papers receiving 756 citations

Author Peers

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

Author						Papers	Cites
Ming-Chu Xi	621	450	261	234	167	33	773
F.R. Morales	638 1.0×	431 1.0×	174 0.7×	341 1.5×	129 0.8×	16	758
Joshua Wang	407 0.7×	389 0.9×	208 0.8×	166 0.7×	142 0.9×	33	884
Peter J. Soja	462 0.7×	282 0.6×	84 0.3×	290 1.2×	236 1.4×	32	691
Fabio Garcı́a-Garcı́a	486 0.8×	290 0.6×	260 1.0×	160 0.7×	106 0.6×	50	815
Stephen Thankachan	677 1.1×	424 0.9×	229 0.9×	352 1.5×	60 0.4×	21	834
James J. Quattrochi	544 0.9×	403 0.9×	125 0.5×	301 1.3×	52 0.3×	28	815
J. L. Valatx	462 0.7×	391 0.9×	167 0.6×	210 0.9×	153 0.9×	38	869
Yuan‐Yang Lai	456 0.7×	305 0.7×	193 0.7×	193 0.8×	154 0.9×	20	652
W. Baust	416 0.7×	242 0.5×	109 0.4×	155 0.7×	96 0.6×	50	762
Theresa E. Bjorness	556 0.9×	337 0.7×	276 1.1×	248 1.1×	79 0.5×	18	821

Countries citing papers authored by Ming-Chu Xi

Since Specialization

Citations

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

Fields of papers citing papers by Ming-Chu Xi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Chu Xi. 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 Ming-Chu Xi. The network helps show where Ming-Chu Xi may publish in the future.

Co-authorship network of co-authors of Ming-Chu Xi

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Chu Xi. A scholar is included among the top collaborators of Ming-Chu Xi 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 Ming-Chu Xi. Ming-Chu Xi 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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