Hsiao-Ling Chiang

410 citations
6 papers · 281 · h-index 4

Impact in

    • Genetic diversity and population structure
    • Forensic and Genetic Research
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

Hsiao-Ling Chiang

5 papers receiving 263 citations

Peers

Hsiao-Ling Chiang
Comparison fields: 5 of 80
  • Genetics 104
  • Infectious Diseases 68
  • Ecology 87
  • Molecular Biology 185
  • Animal Science and Zoology 17
Replace Xinzhu Wei with:
Xinzhu Wei United States
Jasmine Portmann Switzerland
Stéphane Delmotte France
Jakob McBroome United States
Maloyjo Joyraj Bhattacharjee India
Mona Hoyos Germany
Alief Moulana United States
Zachary Ardern Germany
Ana Isabel de Ávila Spain
Sophia M. Reeder United States
Hsiao-Ling Chiang relative to Xinzhu Wei United States Xinzhu Wei's profile →
Citations per field
00.5×
Xinzhu Wei · 1×
Citations per year

Countries citing papers authored by Hsiao-Ling Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Hsiao-Ling Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiao-Ling Chiang. 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 Hsiao-Ling Chiang. The network helps show where Hsiao-Ling Chiang may publish in the future.

Co-authors

The 23 scholars most cited alongside Hsiao-Ling Chiang, 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 Hsiao-Ling Chiang Line = papers co-authored together Hsiao-Ling Chiang links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2001174
2 202294
3 20237
4 20234
5
Determination of Exogenous Methamphetamine in Betel by Purge-and-trap Gas Chromatography-mass Spectrometry
20032
6 20250

About Hsiao-Ling Chiang

Hsiao-Ling Chiang is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Genetics, having authored 6 papers that have together received 281 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), CAR-T cell therapy research (1 paper), Advanced Chemical Sensor Technologies (1 paper), SARS-CoV-2 detection and testing (1 paper), COVID-19 Clinical Research Studies (1 paper), Genomics and Phylogenetic Studies (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Genetics (104 citations), Infectious Diseases (68 citations), Ecology (87 citations), Molecular Biology (185 citations) and Animal Science and Zoology (17 citations). Hsiao-Ling Chiang has collaborated with scholars based in Taiwan and United Kingdom. Frequent co-authors include Hsing‐Mei Hsieh, Adrian Linacre, Li‐Chin Tsai, Lee Jc, Kang-Hao Liang, Ruei‐Min Lu, Han‐Chung Wu, Shih-Han Ko, Wen‐Shan Li and Shih-Chieh Su. Their work appears in journals such as Journal of Biomedical Science, Heliyon and Forensic Science International.

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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