Mingchun Gao

67 total papers · 756 total citations
31 papers, 616 citations indexed

About

Mingchun Gao is a scholar working on Organic Chemistry, Molecular Biology and Inorganic Chemistry. According to data from OpenAlex, Mingchun Gao has authored 31 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Organic Chemistry, 4 papers in Molecular Biology and 3 papers in Inorganic Chemistry. Recurrent topics in Mingchun Gao's work include Catalytic C–H Functionalization Methods (20 papers), Synthesis and Catalytic Reactions (13 papers) and Cyclopropane Reaction Mechanisms (11 papers). Mingchun Gao is often cited by papers focused on Catalytic C–H Functionalization Methods (20 papers), Synthesis and Catalytic Reactions (13 papers) and Cyclopropane Reaction Mechanisms (11 papers). Mingchun Gao collaborates with scholars based in China, United States and Philippines. Mingchun Gao's co-authors include Bin Xu, Bingxin Liu, Qitao Tan, Yingying Li, Minjie Li, Xiaomei Huang, Shuguang Xu, Sanjay Batra, Zhiping Xie and T. Koyama and has published in prestigious journals such as Chemical Society Reviews, Angewandte Chemie International Edition and Chemical Communications.

In The Last Decade

Mingchun Gao

28 papers receiving 608 citations

Author Peers

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

Author Last Decade Papers Cites
Mingchun Gao 514 106 51 32 30 31 616
Fujio Tabusa 502 1.0× 237 2.2× 47 0.9× 36 1.1× 24 0.8× 30 685
Kenneth L. Granberg 391 0.8× 148 1.4× 122 2.4× 26 0.8× 21 0.7× 21 562
Michael J. Boyd 301 0.6× 130 1.2× 22 0.4× 27 0.8× 38 1.3× 36 563
Ali Hachem 349 0.7× 171 1.6× 78 1.5× 72 2.3× 26 0.9× 44 618
Seong Jun Park 342 0.7× 202 1.9× 33 0.6× 25 0.8× 13 0.4× 29 537
Johan Wannberg 516 1.0× 228 2.2× 106 2.1× 42 1.3× 30 1.0× 26 680
Jerome Cohen 399 0.8× 289 2.7× 53 1.0× 35 1.1× 95 3.2× 24 626
M. Jonathan Fray 376 0.7× 253 2.4× 37 0.7× 24 0.8× 13 0.4× 47 670
Steven M. Hutchins 342 0.7× 382 3.6× 24 0.5× 20 0.6× 20 0.7× 17 685
Taichi Kusakabe 395 0.8× 70 0.7× 50 1.0× 9 0.3× 25 0.8× 42 497

Countries citing papers authored by Mingchun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Mingchun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingchun Gao

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