Chia-ping Su

591 citations
32 papers · 429 · 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 6
    • Respiratory viral infections research 3

Chia-ping Su

26 papers receiving 415 citations

Peers

Chia-ping Su
Comparison fields: 5 of 93
  • Modeling and Simulation 22
  • Epidemiology 136
  • Infectious Diseases 52
  • Cardiology and Cardiovascular Medicine 56
  • Aging 3
Replace Boon‐Fatt Tan with:
Boon‐Fatt Tan Taiwan
Andrew Catchpole United Kingdom
J. Smith United States
Skye El Sayegh United States
Zhongtao Gai China
Benjamin Koh Singapore
Sara Robinson United States
L. V. Simhachalam Kutikuppala India
Jie Qian China
Xiaoxiao Liu China
Chia-ping Su relative to Boon‐Fatt Tan Taiwan Boon‐Fatt Tan's profile →
Citations per field
00.5×2.7×
Boon‐Fatt Tan · 1×
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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003122
2 200977
3 201933
4 201921
5 201821
6 201717
7 202017
8 201717
9 201915
10 201814
11 201811
12 201710
13 20199
14 20228
15 20197
16 20226
17 20134
18 20194
19 20203
20
Case Report of Two Imported Brucellosis Cases, May 2011
20112

About Chia-ping Su

Chia-ping Su is a scholar working on Infectious Diseases, Epidemiology, Pulmonary and Respiratory Medicine, Food Science and Health, Toxicology and Mutagenesis, having authored 32 papers that have together received 429 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), Infection Control and Ventilation (4 papers), Food Safety and Hygiene (3 papers), Viral Infections and Vectors (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Respiratory viral infections research (3 papers), COVID-19 epidemiological studies (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Modeling and Simulation (22 citations), Epidemiology (136 citations), Infectious Diseases (52 citations), Cardiology and Cardiovascular Medicine (56 citations) and Aging (3 citations). Chia-ping Su has collaborated with scholars based in Taiwan, United States and Belgium. Frequent co-authors include Po‐Han Lin, Shih-Huang Lee, Yau‐Huei Wei, Sara E. Luckhaupt, Shan‐Chwen Chang, Marie A. de Perio, Tsung-Pei Tsou, Jen-Hsiang Chuang, Hsu‐Sung Kuo and Chia-En Lien. Their work appears in journals such as Emerging infectious diseases, MMWR Morbidity and Mortality Weekly Report, Journal of Microbiology Immunology and Infection, Physical Review Materials and BMC Public Health.

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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