Eva Chan

640 citations
7 papers · 492 · h-index 7

Impact in

    • Mast cells and histamine
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • NF-κB Signaling Pathways

Papers in

    • CRISPR and Genetic Engineering 1
    • RNA modifications and cancer 1
    • DNA Repair Mechanisms 1
    • Cell death mechanisms and regulation 1
    • NF-κB Signaling Pathways 1

Eva Chan

7 papers receiving 470 citations

Peers

Eva Chan
Comparison fields: 5 of 57
  • Immunology 168
  • Cancer Research 83
  • Molecular Biology 333
  • Immunology and Allergy 26
  • Oncology 67
Replace Georges Grard with:
Georges Grard France
Kirstine A. Knox United Kingdom
Erlina S. Pali United States
Piao Lo United States
Eloisa Pagler Australia
André Limnander United States
Sébastien Huault France
Thorsten Erpel United States
Alexandre K. Rouquette‐Jazdanian France
Rita Basu United States
Eva Chan relative to Georges Grard France Georges Grard's profile →
Citations per field
00.5×1.7×
Georges Grard · 1×
Citations per year

Countries citing papers authored by Eva Chan

Since Specialization
Citations

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

Fields of papers citing papers by Eva Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 1999118
2 1999107
3 2001100
4 200175
5 200047
6 199830
7 199815

About Eva Chan

Eva Chan is a scholar working on Molecular Biology, Cancer Research, Immunology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 7 papers that have together received 492 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (1 paper), RNA modifications and cancer (1 paper), interferon and immune responses (1 paper), Cancer-related Molecular Pathways (1 paper), DNA Repair Mechanisms (1 paper), Cell death mechanisms and regulation (1 paper), Virus-based gene therapy research (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Immunology (168 citations), Cancer Research (83 citations), Molecular Biology (333 citations), Immunology and Allergy (26 citations) and Oncology (67 citations). Eva Chan has collaborated with scholars based in United States. Frequent co-authors include Donald G. Payan, Betty C. B. Huang, Ying Luo, Mary Shen, Garry P. Nolan, Xiang Ming Xu, James B. Lorens, Pei Yu, Richard J. E. Armstrong and Esteban S. Masuda. Their work appears in journals such as Cytometry, Gene, Molecular Therapy, Biochemical and Biophysical Research Communications and Current Biology.

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.

Explore authors with similar magnitude of impact