Kevin Yang

569 citations
12 papers · 420 indexed · h-index 8
Topics
Mitochondrial Function and Pathology (4 papers)ATP Synthase and ATPases Research (4 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences
Partner nations
United StatesChinaJapan

In The Last Decade

Kevin Yang

12 papers receiving 411 citations

Peers

Kevin Yang
Comparison fields: 5 of 77
  • Molecular Biology 199
  • Immunology 131
  • Cardiology and Cardiovascular Medicine 67
  • Dermatology 58
  • Oncology 54
Replace Wangqing Chen with:
Wangqing Chen China
Michela Di Filippo Switzerland
Toshihiro Chikanishi Japan
Yuka Sasakawa Japan
Jingyu Chen China
Geun-Young Kim South Korea
Zijian Ma China
Lianhua Zhu China
В. В. Соболев Russia
Kevin Yang relative to Wangqing Chen China Wangqing Chen's profile →
Citations per field
00.5×8.4×
Wangqing Chen · 1×
Citations per year

Countries citing papers authored by Kevin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Yang. A scholar is included among the top collaborators of Kevin Yang 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 Kevin Yang. Kevin Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 5
2 5
3 9
4 126
5 50
6 5
7
Identification of key pathways and hub genes in basal-like breast cancer using bioinformatics analysis
3
8 20
9 56
10 25
11 65
12
Regulation of mitochondrial ATP synthase in cardiac pathophysiology.
51

About Kevin Yang

Kevin Yang is a scholar working on Dermatology, Rehabilitation and Oncology, having authored 12 papers that have together received 420 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), ATP Synthase and ATPases Research (4 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Dermatology (58 citations), Immunology (131 citations) and Cardiology and Cardiovascular Medicine (67 citations). Kevin Yang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Allen S. W. Oak, Boni E. Elewski, Qinqiang Long, Qinglin Yang, Anna A. Brożyna, Andrzej Słomiński, Radomir M. Slominski, Kai Huang, Kailiang Zhang and Long Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

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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