Ming‐Chuan Cheng

67 total papers · 886 total citations
35 papers, 713 citations indexed

About

Ming‐Chuan Cheng is a scholar working on Organic Chemistry, Inorganic Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Ming‐Chuan Cheng has authored 35 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Organic Chemistry, 13 papers in Inorganic Chemistry and 12 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Ming‐Chuan Cheng's work include Magnetism in coordination complexes (10 papers), Metal-Catalyzed Oxygenation Mechanisms (6 papers) and Organometallic Complex Synthesis and Catalysis (6 papers). Ming‐Chuan Cheng is often cited by papers focused on Magnetism in coordination complexes (10 papers), Metal-Catalyzed Oxygenation Mechanisms (6 papers) and Organometallic Complex Synthesis and Catalysis (6 papers). Ming‐Chuan Cheng collaborates with scholars based in Taiwan, China and United States. Ming‐Chuan Cheng's co-authors include Shie‐Ming Peng, K. C. Chang, Y.B. Yang, Shao‐An Hua, Chun‐hsien Chen, Chi‐Ming Che, Gene‐Hsiang Lee, G. A. Anderson, Wenjie Deng and Tao Chen and has published in prestigious journals such as Nucleic Acids Research, Chemical Communications and The Journal of Physical Chemistry C.

In The Last Decade

Ming‐Chuan Cheng

34 papers receiving 682 citations

Author Peers

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

Author						Papers	Cites
Ming‐Chuan Cheng	248	166	152	129	122	35	713
Mohamed El Kodadi	302 1.2×	66 0.4×	68 0.4×	131 1.0×	47 0.4×	46	626
Dirk Schweitzer	146 0.6×	67 0.4×	161 1.1×	126 1.0×	152 1.2×	42	888
R.M. Kowalczyk	212 0.9×	88 0.5×	96 0.6×	72 0.6×	194 1.6×	38	845
Amanpreet Kaur	154 0.6×	80 0.5×	80 0.5×	61 0.5×	52 0.4×	49	703
Bandar A. Babgi	401 1.6×	124 0.7×	102 0.7×	320 2.5×	106 0.9×	50	891
Khalil Pourshamsian	378 1.5×	76 0.5×	26 0.2×	59 0.5×	87 0.7×	36	816
Abderrahim Titi	272 1.1×	42 0.3×	70 0.5×	115 0.9×	33 0.3×	40	717
M. Wasim Akhtar	356 1.4×	59 0.4×	38 0.3×	23 0.2×	199 1.6×	29	828
Yanhua Zhang	64 0.3×	55 0.3×	35 0.2×	84 0.7×	136 1.1×	35	836
Masaki Yokoyama	280 1.1×	98 0.6×	193 1.3×	281 2.2×	131 1.1×	46	824

Countries citing papers authored by Ming‐Chuan Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Ming‐Chuan Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Chuan Cheng. 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‐Chuan Cheng. The network helps show where Ming‐Chuan Cheng may publish in the future.

Co-authorship network of co-authors of Ming‐Chuan Cheng

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