Ching-Ping Chan

615 citations
8 papers · 457 · h-index 8

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Vectors
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • interferon and immune responses

Papers in

    • SARS-CoV-2 and COVID-19 Research 3
    • Viral Infections and Vectors 2
    • interferon and immune responses 2
    • T-cell and Retrovirus Studies 2

Ching-Ping Chan

8 papers receiving 453 citations

Peers

Ching-Ping Chan
Comparison fields: 5 of 71
  • Infectious Diseases 249
  • Immunology 139
  • Cell Biology 92
  • Biological Psychiatry 12
  • Animal Science and Zoology 48
Replace Ebony A. Monson with:
Ebony A. Monson Australia
Jessie Kulsuptrakul United States
Xingyu Li China
Xian Lin China
Binbin Ding China
Yunkai Zhu China
Lianzhong Zhao China
Keaton M. Crosse Australia
Juan Fidel Osuna‐Ramos Mexico
Daniela Ploen Germany
Ching-Ping Chan relative to Ebony A. Monson Australia Ebony A. Monson's profile →
Citations per field
00.5×6.3×
Ebony A. Monson · 1×
Citations per year

Countries citing papers authored by Ching-Ping Chan

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Ping Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2006185
2 201787
3 201861
4 202238
5 201436
6 201631
7 201310
8 20189

About Ching-Ping Chan

Ching-Ping Chan is a scholar working on Infectious Diseases, Immunology, Ecology, Evolution, Behavior and Systematics, Epidemiology and Agronomy and Crop Science, having authored 8 papers that have together received 457 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), interferon and immune responses (2 papers), Animal Disease Management and Epidemiology (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), T-cell and Retrovirus Studies (2 papers), Vector-Borne Animal Diseases (2 papers), Viral Infections and Vectors (2 papers) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Infectious Diseases (249 citations), Immunology (139 citations), Cell Biology (92 citations), Biological Psychiatry (12 citations) and Animal Science and Zoology (48 citations). Ching-Ping Chan has collaborated with scholars based in Hong Kong and China. Frequent co-authors include Dong‐Yan Jin, Kam‐Leung Siu, Kwok‐Yung Yuen, Bo‐Jian Zheng, King‐Tung Chin, Kin‐Hang Kok, Chi‐Ping Chan, Kit‐San Yuen, Pei‐Hui Wang and Sin‐Yee Fung. Their work appears in journals such as Journal of Virology, Cell & Bioscience, Retrovirology, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms and Nucleic Acids Research.

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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