Teh‐Wei Wang

633 citations
8 papers · 407 · 1 hit paper · h-index 7

Impact in

    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Immune cells in cancer 3
    • interferon and immune responses 1
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
    • Single-cell and spatial transcriptomics 1
    • Histone Deacetylase Inhibitors Research 1

Teh‐Wei Wang

8 papers receiving 403 citations

Teh‐Wei Wang's Hit Papers

Blocking PD-L1–PD-1 improves senescence surveillance and ageing phenotypes 2022 · 278 citations
2780+1+2Years since publication50100150200250

Peers

Teh‐Wei Wang
Comparison fields: 5 of 64
  • Aging 18
  • Immunology 143
  • Physiology 138
  • Cancer Research 71
  • Neurology 33
Replace Alexis Valdovinos with:
Alexis Valdovinos United States
Lena Lau United States
Seira Hatakeyama Japan
Clément Molina France
Zhi Fang China
Martina Kerndl Austria
Joseph Flores‐Toro United States
Paola Cuccarolo Italy
Thijmen van Vliet Netherlands
Paola Ortíz-Montero Colombia
Teh‐Wei Wang relative to Alexis Valdovinos United States Alexis Valdovinos's profile →
Citations per field
00.5×3.7×
Alexis Valdovinos · 1×
Citations per year

Countries citing papers authored by Teh‐Wei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Teh‐Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teh‐Wei Wang. 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 Teh‐Wei Wang. The network helps show where Teh‐Wei Wang may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Blocking PD-L1–PD-1 improves senescence surveillance and ageing phenotypes
Hit paper breakdown →
2022278
2 202036
3 202226
4 202224
5 202416
6 202414
7 20249
8 20234

About Teh‐Wei Wang

Teh‐Wei Wang is a scholar working on Immunology, Molecular Biology, Epidemiology, Physiology and Cancer Research, having authored 8 papers that have together received 407 indexed citations. Recurring topics across this work include Immune cells in cancer (3 papers), Telomeres, Telomerase, and Senescence (2 papers), Single-cell and spatial transcriptomics (1 paper), MicroRNA in disease regulation (1 paper), interferon and immune responses (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Aging (18 citations), Immunology (143 citations), Physiology (138 citations), Cancer Research (71 citations) and Neurology (33 citations). Teh‐Wei Wang has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Makoto Nakanishi, Yoshikazu Johmura, Yoichi Furukawa, Kiyoshi Yamaguchi, Seiya Imoto, Seira Hatakeyama, Satotaka Omori, Eigo Shimizu, Satoshi Yamazaki and Toshiro Migita. Their work appears in journals such as Trends in Cell Biology, Nature Aging, The Journal of Biochemistry, Nature and Cancer Science.

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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