Ming Cheng

63 total papers · 1.0k total citations
41 papers, 728 citations indexed

About

Ming Cheng is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Ming Cheng has authored 41 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Spectroscopy and 7 papers in Cell Biology. Recurrent topics in Ming Cheng's work include Mass Spectrometry Techniques and Applications (11 papers), Fluorine in Organic Chemistry (5 papers) and Advanced Proteomics Techniques and Applications (5 papers). Ming Cheng is often cited by papers focused on Mass Spectrometry Techniques and Applications (11 papers), Fluorine in Organic Chemistry (5 papers) and Advanced Proteomics Techniques and Applications (5 papers). Ming Cheng collaborates with scholars based in China, United States and India. Ming Cheng's co-authors include Michael L. Gross, Chunyang Guo, Bojie Zhang, Weidong Cui, Meijuan Zheng, Richard A. Flavell, Huabing Li, Chen Ding, Hui Peng and Jiaxi Song and has published in prestigious journals such as Cell, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Ming Cheng

35 papers receiving 720 citations

Author Peers

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

Author Last Decade Papers Cites
Ming Cheng 380 172 105 91 91 41 728
Shaoxiong Wu 188 0.5× 46 0.3× 35 0.3× 76 0.8× 66 0.7× 39 681
Edward A. Kuhn 372 1.0× 36 0.2× 41 0.4× 60 0.7× 102 1.1× 30 768
B. L. Hutchings 275 0.7× 24 0.1× 63 0.6× 79 0.9× 20 0.2× 31 697
Miwako Asanuma 480 1.3× 103 0.6× 25 0.2× 37 0.4× 51 0.6× 28 852
Michael B. Winter 375 1.0× 40 0.2× 60 0.6× 28 0.3× 61 0.7× 32 765
Patrizia Lopalco 491 1.3× 78 0.5× 71 0.7× 28 0.3× 139 1.5× 28 790
Eleanor W. W. Leung 402 1.1× 31 0.2× 30 0.3× 28 0.3× 62 0.7× 29 681
Bao‐Shiang Lee 499 1.3× 104 0.6× 21 0.2× 43 0.5× 29 0.3× 46 865
Xiaofang Zhong 450 1.2× 127 0.7× 29 0.3× 8 0.1× 36 0.4× 26 851
Abel Baerga‐Ortiz 566 1.5× 130 0.8× 29 0.3× 43 0.5× 20 0.2× 36 833

Countries citing papers authored by Ming Cheng

Since Specialization
Citations

This map shows the geographic impact of Ming 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 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 Cheng more than expected).

Fields of papers citing papers by Ming Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Cheng

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