Chia-ping Su

603 citations
34 papers · 468 · h-index 11

Impact in

    • COVID-19 epidemiological studies
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Fungal Infections and Studies

Papers in

    • Viral Infections and Vectors 3
    • Viral gastroenteritis research and epidemiology 2
    • Influenza Virus Research Studies 7
    • Respiratory viral infections research 4

Chia-ping Su

31 papers receiving 454 citations

Peers

Chia-ping Su
Comparison fields: 5 of 95
  • Modeling and Simulation 26
  • Epidemiology 149
  • Infectious Diseases 60
  • Aging 5
  • Cardiology and Cardiovascular Medicine 57
Replace Jonathan E. Soverow with:
Jonathan E. Soverow United States
Zhongtao Gai China
Zareen Fatima Pakistan
Elena Vanessa Martínez Sánchez Spain
Benjamin Koh Singapore
Grant Stiver Canada
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Yuanhao Liang China
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Citations per field
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Citations per year

Countries citing papers authored by Chia-ping Su

Since Specialization
Citations

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

Fields of papers citing papers by Chia-ping Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-ping Su. 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 Chia-ping Su. The network helps show where Chia-ping Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003125
2 200985
3 201937
4 201923
5 201821
6 201718
7 201717
8 202017
9 201914
10 201814
11 201813
12 202210
13 201710
14 20199
15 20178
16 20198
17 20227
18 20195
19 20134
20 20253

About Chia-ping Su

Chia-ping Su is a scholar working on Infectious Diseases, Epidemiology, Modeling and Simulation, Food Science and Health, Toxicology and Mutagenesis, having authored 34 papers that have together received 468 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Infection Control and Ventilation (4 papers), Respiratory viral infections research (4 papers), COVID-19 epidemiological studies (3 papers), Viral Infections and Vectors (3 papers), Food Safety and Hygiene (3 papers), Salmonella and Campylobacter epidemiology (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Modeling and Simulation (26 citations), Epidemiology (149 citations), Infectious Diseases (60 citations), Aging (5 citations) and Cardiology and Cardiovascular Medicine (57 citations). Chia-ping Su has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Yau‐Huei Wei, Shih-Huang Lee, Po‐Han Lin, Sara E. Luckhaupt, Shan‐Chwen Chang, Tsung-Pei Tsou, Marie A. de Perio, Jen-Hsiang Chuang, Hsu‐Sung Kuo and Chia-En Lien. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Emerging infectious diseases, Journal of Microbiology Immunology and Infection, Physical Review Materials and American Journal of Tropical Medicine and Hygiene.

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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