Kena Wang

671 citations
9 papers · 567 · h-index 6

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

Kena Wang

9 papers receiving 539 citations

Peers

Kena Wang
Comparison fields: 5 of 43
  • Immunology 206
  • Cell Biology 141
  • Genetics 154
  • Molecular Biology 236
  • Immunology and Allergy 13
Replace Jason Sparkowski with:
Jason Sparkowski United States
Samantha L. Schwartz United States
Jenny R. Sider United States
Viresh P. Patel United States
Luc English Canada
Sylvie Lachmann Germany
Katharina Haneke Germany
Hideki Tani Japan
Roos A. Karssemeijer United States
Whitney Greene United States
Kena Wang relative to Jason Sparkowski United States Jason Sparkowski's profile →
Citations per field
00.5×2×2.7×
Jason Sparkowski · 1×
Citations per year

Countries citing papers authored by Kena Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kena Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Kena 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 Kena Wang Line = papers co-authored together Kena Wang links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1994268
2 1998165
3 200066
4 199730
5 199429
6 20156
7 19941
8 20131
9 20211

About Kena Wang

Kena Wang is a scholar working on Cell Biology, Automotive Engineering, Immunology and Allergy, Computer Vision and Pattern Recognition and Media Technology, having authored 9 papers that have together received 567 indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (2 papers), Advanced Vision and Imaging (2 papers), Cellular transport and secretion (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Optical measurement and interference techniques (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper), Heat shock proteins research (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Immunology (206 citations), Cell Biology (141 citations), Genetics (154 citations), Molecular Biology (236 citations) and Immunology and Allergy (13 citations). Kena Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Per A. Peterson, Glen R. Nemerow, Klaus Frueh, Woong‐Kyung Suh, Myrna F. Cohen-Doyle, David B. Williams, Shuang Huang, Tinglu Guan, David A. Cheresh and Lars Karlsson. Their work appears in journals such as Journal of Virology, FEBS Letters, IEEE Transactions on Intelligent Transportation Systems, Science and Journal of Biological Chemistry.

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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