Ming Yang

105 papers receiving 3.2k citations

Peers

Ming Yang
Comparison fields: 5 of 149
  • Neurology 168
  • Neurology 281
  • Renewable Energy, Sustainability and the Environment 321
  • Pulmonary and Respiratory Medicine 524
  • Genetics 444
Replace Dong‐Kyu Kim with:
Dong‐Kyu Kim South Korea
Wei Kong China
Dongxu Liu China
Andrew R. Martin Canada
Hongyun Li China
Jiao Li China
Won Seok Chang South Korea
Bing Hu China
Chin Tsau Hsu Taiwan
Xiaoping Zhu United States
Ming Yang relative to Dong‐Kyu Kim South Korea Dong‐Kyu Kim's profile →
Citations per field
00.5×2×3.2×
Dong‐Kyu Kim · 1×
Citations per year

Countries citing papers authored by Ming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017271
2 2007150
3 2012107
4 2010105
5 201295
6 201579
7 201171
8 201368
9 201768
10 201565
11 199864
12 199963
13 199858
14 201158
15 200057
16 201657
17 201856
18 201954
19 200854
20 201653

About Ming Yang

Ming Yang is a scholar working on Renewable Energy, Sustainability and the Environment, Pulmonary and Respiratory Medicine, Molecular Biology, Polymers and Plastics and Genetics, having authored 108 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cardiovascular and Diving-Related Complications (15 papers), Solar Thermal and Photovoltaic Systems (14 papers), Heme Oxygenase-1 and Carbon Monoxide (8 papers), Geothermal Energy Systems and Applications (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Genetic and Kidney Cyst Diseases (7 papers), Building Energy and Comfort Optimization (6 papers) and Phase Change Materials Research (6 papers). The work is most often cited by research in Neurology (168 citations), Neurology (281 citations), Renewable Energy, Sustainability and the Environment (321 citations), Pulmonary and Respiratory Medicine (524 citations) and Genetics (444 citations). Ming Yang has collaborated with scholars based in China, United States and Croatia. Frequent co-authors include Stephen R. Thom, Veena M. Bhopale, Tatyana N. Milovanova, Zhifeng Wang, Qun Zhang, Richard R. Miselis, Marina Bogush, Guofeng Yuan, Xiaoxia Li and Željko Dujić. Their work appears in journals such as Journal of Applied Physiology, Journal of Biological Chemistry, Energy and Buildings, American Journal of Physiology-Renal Physiology and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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