Teddy Yang

1.1k citations
23 papers · 754 · h-index 13

Impact in

  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities
    • Immune Cell Function and Interaction

Papers in

    • Signaling Pathways in Disease 12
    • RNA Interference and Gene Delivery 3
    • Cell death mechanisms and regulation 2
    • Immune Cell Function and Interaction 5

Teddy Yang

22 papers receiving 729 citations

Peers

Teddy Yang
Comparison fields: 5 of 83
  • Biochemistry 74
  • Immunology 143
  • Molecular Biology 454
  • Pathology and Forensic Medicine 110
  • Oncology 142
Replace Zhiqi Song with:
Zhiqi Song China
Elena Darra Italy
Myung‐Ho Kim South Korea
Yucui Zhu United States
Xu Zheng China
Hee‐Bum Kang South Korea
Rajani Rajbhandari United States
Song-Kyu Park South Korea
Biaoyan Du China
Teddy Yang relative to Zhiqi Song China Zhiqi Song's profile →
Citations per field
00.5×1.7×
Zhiqi Song · 1×
Citations per year

Countries citing papers authored by Teddy Yang

Since Specialization
Citations

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

Fields of papers citing papers by Teddy Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002147
2 1999135
3 200884
4 200661
5 200352
6 200546
7 202142
8 200841
9 200329
10 200123
11 201918
12 201216
13 200613
14 202212
15 200612
16 20226
17 20114
18 20234
19 20233
20 20232

About Teddy Yang

Teddy Yang is a scholar working on Molecular Biology, Immunology, Oncology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 754 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (12 papers), Immune Cell Function and Interaction (5 papers), RNA Interference and Gene Delivery (3 papers), Alzheimer's disease research and treatments (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Calpain Protease Function and Regulation (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Biochemistry (74 citations), Immunology (143 citations), Molecular Biology (454 citations), Pathology and Forensic Medicine (110 citations) and Oncology (142 citations). Teddy Yang has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Chi-Wing Chow, Marcel W.L. Koo, Roger J. Davis, Hervé Enslen, Raymond Yu, Opeyemi A. Olabisi, Isabella A. Graef, Robert H. Crabtree, Edward Nieves and Fernando Macián. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Alzheimer s & Dementia, Clinical Cancer Research and Scientific Reports.

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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