Mingjun Shi

3.0k citations
75 papers · 2.2k · h-index 25

Impact in

  • Nephrology top 2%
    • Parathyroid Disorders and Treatments
    • Chronic Kidney Disease and Diabetes
    • Quantum Information and Cryptography
    • Quantum Computing Algorithms and Architecture

Papers in

Mingjun Shi

68 papers receiving 2.1k citations

Peers

Mingjun Shi
Comparison fields: 5 of 146
  • Nephrology 270
  • Artificial Intelligence 696
  • Atomic and Molecular Physics, and Optics 635
  • Experimental and Cognitive Psychology 172
  • Statistical and Nonlinear Physics 104
Replace Beate Fischer with:
Beate Fischer Germany
Alberto Galindo Spain
Yutaka Kano Japan
Hua Wu United States
Gordon W. Stewart United Kingdom
Yoshiyasu Aizawa Japan
Jonathan P. Gardner United States
Tetsuo Nishikawa Japan
Ronald Ouwerkerk United States
Mingjun Shi relative to Beate Fischer Germany Beate Fischer's profile →
Citations per field
00.5×7.8×
Beate Fischer · 1×
Citations per year

Countries citing papers authored by Mingjun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingjun Shi, 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 Mingjun Shi Line = papers co-authored together Mingjun Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016220
2 2002199
3 2003174
4 2015154
5 2003113
6 2013103
7 200684
8 201358
9 201356
10 200853
11 201850
12 201548
13 201248
14 201347
15 202041
16 201039
17 201639
18 200137
19 201137
20 201934

About Mingjun Shi

Mingjun Shi is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Surgery and Pulmonary and Respiratory Medicine, having authored 75 papers that have together received 2.2k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (18 papers), Quantum Computing Algorithms and Architecture (16 papers), Quantum Mechanics and Applications (13 papers), Bladder and Urothelial Cancer Treatments (11 papers), Epigenetics and DNA Methylation (8 papers), Parathyroid Disorders and Treatments (4 papers), RNA modifications and cancer (3 papers) and Mechanical and Optical Resonators (3 papers). The work is most often cited by research in Nephrology (270 citations), Artificial Intelligence (696 citations), Atomic and Molecular Physics, and Optics (635 citations), Experimental and Cognitive Psychology (172 citations) and Statistical and Nonlinear Physics (104 citations). Mingjun Shi has collaborated with scholars based in China, United States and France. Frequent co-authors include Jiangfeng Du, Xianyi Zhou, Jihui Wu, Rongdian Han, Hui Li, Xiaodong Xu, Orson W. Moe, Xiangyu Meng, Ming Chang Hu and Hong Weng. Their work appears in journals such as Chinese Physics Letters, Physical Review A, Physical Review Letters, International Journal of Radiation Oncology*Biology*Physics and Physical Review B.

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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