Wen-Shuz Yeow

2.5k citations
29 papers · 2.1k indexed · h-index 23

Wen-Shuz Yeow

29 papers receiving 2.0k citations

Peers

Wen-Shuz Yeow
Comparison fields: 5 of 89
  • Immunology 882
  • Oncology 860
  • Cancer Research 363
  • Epidemiology 422
  • Molecular Biology 801
Replace Shamith Samarajiwa with:
Shamith Samarajiwa United Kingdom
Jérôme Thiery France
Florian Kühnel Germany
HyeonJoo Cheon United States
Benoit Pasquier France
Rahul V. Gopalkrishnan United States
Martin K. Thomsen Denmark
Chun Lu China
Hirotake Tsukamoto Japan
Susan M. Kaech United States
Wen-Shuz Yeow relative to Shamith Samarajiwa United Kingdom Shamith Samarajiwa's profile →
Citations per field
00.5×1.6×
Shamith Samarajiwa · 1×
Citations per year

Countries citing papers authored by Wen-Shuz Yeow

Since Specialization
Citations

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

Fields of papers citing papers by Wen-Shuz Yeow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen-Shuz Yeow. 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 Wen-Shuz Yeow. The network helps show where Wen-Shuz Yeow may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201211
2 2010135
3 2010177
4 2010251
5 201060
6 200629
7 200633
8 200637
9 200626
10 200637
11 200644
12 200174
13 2000138
14
Unique properties of a second human herpesvirus 8-encoded interferon regulatory factor (vIRF-2).
1999107
15 1999177
16 199852
17
Antiviral activities of individual murine IFN-alpha subtypes in vivo: intramuscular injection of IFN expression constructs reduces cytomegalovirus replication.
199857
18 199720
19 19976
20 19976

About Wen-Shuz Yeow

Wen-Shuz Yeow is a scholar working on Immunology, Oncology and Biotechnology, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include interferon and immune responses (10 papers), Cytomegalovirus and herpesvirus research (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Immune Cell Function and Interaction (5 papers), Cell death mechanisms and regulation (5 papers), RNA Interference and Gene Delivery (3 papers), Viral Infections and Immunology Research (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Immunology (882 citations), Oncology (860 citations) and Cancer Research (363 citations). Wen-Shuz Yeow has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Paula M. Pitha, Wei-Chun Au, Ladislav Burýšek, Manfred W. Beilharz, C M Lawson, Richard G. Pestell, David S. Schrump, Andrew A. Quong, Eugene Chung and Betsy Barnes. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Immunology.

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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