Minsi Zhang

1.9k citations
39 papers · 1.3k · h-index 16

Impact in

Papers in

Minsi Zhang

36 papers receiving 1.3k citations

Peers

Minsi Zhang
Comparison fields: 5 of 125
  • Health, Toxicology and Mutagenesis 447
  • Cancer Research 285
  • Atmospheric Science 317
  • Environmental Engineering 165
  • Automotive Engineering 119
Replace Qin Yao with:
Qin Yao China
Baoxian Liu China
Qing Yao China
Shengping Li China
Kimberly A. Mace United Kingdom
Junlin Li China
Vincent Crenn France
Mary E. Davis United States
Arthur Winer United States
Paul Roberts United Kingdom
Minsi Zhang relative to Qin Yao China Qin Yao's profile →
Citations per field
00.5×1.7×
Qin Yao · 1×
Citations per year

Countries citing papers authored by Minsi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Minsi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013214
2 2007146
3 2006146
4 2012137
5 2007118
6 201484
7 201982
8 201968
9 201349
10 200642
11 201536
12 200634
13 201333
14 202029
15 202127
16 202216
17 20189
18 20179
19 20257
20 20216

About Minsi Zhang

Minsi Zhang is a scholar working on Mechanics of Materials, Molecular Biology, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis and Atmospheric Science, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Rock Mechanics and Modeling (7 papers), Air Quality and Health Impacts (6 papers), Atmospheric chemistry and aerosols (5 papers), Sarcoma Diagnosis and Treatment (4 papers), Geomechanics and Mining Engineering (4 papers), Geoscience and Mining Technology (3 papers), Tunneling and Rock Mechanics (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (447 citations), Cancer Research (285 citations), Atmospheric Science (317 citations), Environmental Engineering (165 citations) and Automotive Engineering (119 citations). Minsi Zhang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yu Song, Xuhui Cai, David G. Kirsch, Jun Zhou, Tingting Xu, Mingxu Liu, Yongjie Wei, Sihua Lü, Shaodong Xie and Limin Zeng. Their work appears in journals such as Developmental Cell, Advances in Radiation Oncology, Journal of Clinical Oncology, Annals of Surgical Oncology and Molecular Cell.

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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