Ming Yi

51 papers receiving 971 citations

Peers

Ming Yi
Comparison fields: 5 of 134
  • Structural Biology 14
  • Cancer Research 100
  • Surfaces, Coatings and Films 49
  • Cell Biology 103
  • Hepatology 41
Replace Hiroshi Murakami with:
Hiroshi Murakami Japan
R. Atkinson United Kingdom
Masahiro Kimura Japan
Jiangbo Zhang China
Marylou Ingram United States
Chi‐Hau Chen Taiwan
Hongxia Fu China
Ricardo Toledo‐Crow United States
Tamon Kusumoto Japan
Ming Yi relative to Hiroshi Murakami Japan Hiroshi Murakami's profile →
Citations per field
00.5×10.3×
Hiroshi Murakami · 1×
Citations per year

Countries citing papers authored by Ming Yi

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming Yi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming Yi Line = papers co-authored together Ming Yi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002184
2 200990
3 200689
4 200265
5 199044
6 202439
7 201833
8 201931
9
Evidence that the Igkappa gene MAR regulates the probability of premature V-J joining and somatic hypermutation.
199930
10 201228
11 199926
12 201622
13 200721
14 201020
15 202020
16 202018
17 201417
18 200817
19 202115
20 201814

About Ming Yi

Ming Yi is a scholar working on Materials Chemistry, Molecular Biology, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Mechanics of Materials, having authored 51 papers that have together received 988 indexed citations. Recurring topics across this work include Thermal properties of materials (10 papers), Electron and X-Ray Spectroscopy Techniques (5 papers), Thermal Radiation and Cooling Technologies (4 papers), Advanced Electron Microscopy Techniques and Applications (4 papers), Nonlinear Photonic Systems (3 papers), Viral Infections and Immunology Research (3 papers), Neonatal Respiratory Health Research (3 papers) and Environmental Education and Sustainability (2 papers). The work is most often cited by research in Structural Biology (14 citations), Cancer Research (100 citations), Surfaces, Coatings and Films (49 citations), Cell Biology (103 citations) and Hepatology (41 citations). Ming Yi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jan E. Schnitzer, Jonathan C. Cohen, Guocheng He, Helen H. Hobbs, Peter Michaely, Sarita Gupta, Zejun Ding, Roop L. Mahajan, Carole R. Mendelson and Zhengjun Liu. Their work appears in journals such as Physical review. E, Chinese Physics Letters, Applied Physics Letters, New Journal of Physics and Journal of Biological Chemistry.

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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