Nicole Chen

672 citations
3 papers · 551 · 1 hit paper · h-index 3

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • IL-33, ST2, and ILC Pathways
    • Wound Healing and Treatments

Papers in

Nicole Chen

3 papers receiving 544 citations

Nicole Chen's Hit Papers

A Role for Skin γδ T Cells in Wound Repair 2002 · 520 citations
5200+8+16Years since publication100200300400500

Peers

Nicole Chen
Comparison fields: 5 of 83
  • Immunology 348
  • Rehabilitation 99
  • Dermatology 88
  • Urology 22
  • Occupational Therapy 14
Replace Mitchell E. Stashower with:
Mitchell E. Stashower United States
M. Zulfiquer Hossain United States
Wesley A. Grimm United States
Christopher Norwood United States
Yong Du United States
V Salmon-Ehr France
Abhijit Basu United States
Yilin Wang China
Setsunosuke Ihara Japan
Balaji Bandyopadhyay United States
Nicole Chen relative to Mitchell E. Stashower United States Mitchell E. Stashower's profile →
Citations per field
00.5×3.6×
Mitchell E. Stashower · 1×
Citations per year

Countries citing papers authored by Nicole Chen

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Nicole Chen, 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 Nicole Chen Line = papers co-authored together Nicole Chen links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
A Role for Skin γδ T Cells in Wound Repair
Hit paper breakdown →
2002520
2 200222
3 20229

About Nicole Chen

Nicole Chen is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Mechanics of Materials, Biomaterials and Aerospace Engineering, having authored 3 papers that have together received 551 indexed citations. Recurring topics across this work include Recycling and Waste Management Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper), Immunotherapy and Immune Responses (1 paper), T-cell and B-cell Immunology (1 paper), Immune Cell Function and Interaction (1 paper), UAV Applications and Optimization (1 paper), Advanced Cellulose Research Studies (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Immunology (348 citations), Rehabilitation (99 citations), Dermatology (88 citations), Urology (22 citations) and Occupational Therapy (14 citations). Nicole Chen has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Pia P. Yachi, Richard Boismenu, Wendy L. Havran, Julie Jameson, Elaine Fuchs, Shuwen Hu, Robert Pelton, Sky K. Alibhai, Zoë Jewell and Kévin Martin. Their work appears in journals such as PeerJ, Industrial & Engineering Chemistry Research and 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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