Suya Yang

2.4k citations
18 papers · 1.8k indexed · h-index 17

Suya Yang

18 papers receiving 1.8k citations

Peers

Suya Yang
Comparison fields: 5 of 100
  • Immunology and Allergy 145
  • Genetics 248
  • Cancer Research 329
  • Molecular Biology 1.2k
  • Biochemistry 102
Replace Graeme M. Birdsey with:
Graeme M. Birdsey United Kingdom
Koichi Hamada Japan
Courtney T. Griffin United States
Susan C. Hubchak United States
Keith S. K. Fong United States
Weiping Yuan China
Laurent Lamalice Canada
Krystyna Teichert-Kuliszewska Canada
Jenny Yuan United States
Kazunori Nakagawa Japan
Suya Yang relative to Graeme M. Birdsey United Kingdom Graeme M. Birdsey's profile →
Citations per field
00.5×3.9×
Graeme M. Birdsey · 1×
Citations per year

Countries citing papers authored by Suya Yang

Since Specialization
Citations

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

Fields of papers citing papers by Suya Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 202061
2 201725
3 201616
4 201222
5 200814
6 2004138
7 200353
8 200341
9 200319
10 2002115
11 200263
12 200267
13 2001320
14 200150
15 1999202
16 1999450
17 199836
18 1995146

About Suya Yang

Suya Yang is a scholar working on Immunology and Allergy, Cancer Research, Modeling and Simulation, Genetics and Molecular Biology, having authored 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (5 papers), Cell Adhesion Molecules Research (4 papers), Protease and Inhibitor Mechanisms (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Neonatal Respiratory Health Research (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Pulmonary Hypertension Research and Treatments (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Immunology and Allergy (145 citations), Genetics (248 citations), Cancer Research (329 citations), Molecular Biology (1.2k citations) and Biochemistry (102 citations). Suya Yang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Mary E. Gerritsen, Xiaohua Xin, Joe Kowalski, Constance Zlot, Gladys S. Ingle, Napoleone Ferrara, Ralph Schwall, Eric A. Schwartz, Jeanne W. Kahn and J.K. Graham. Their work appears in journals such as Journal of Biological Chemistry, American Journal Of Pathology, Arteriosclerosis Thrombosis and Vascular Biology, Proceedings of the National Academy of Sciences and American Journal of Physiology-Lung Cellular and Molecular 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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