Hsiao‐Chen Ning

1.8k citations
34 papers · 1.6k · h-index 17

Impact in

Papers in

Hsiao‐Chen Ning

34 papers receiving 1.5k citations

Peers

Hsiao‐Chen Ning
Comparison fields: 5 of 103
  • Cardiology and Cardiovascular Medicine 865
  • Infectious Diseases 482
  • Endocrinology 49
  • Nephrology 62
  • Epidemiology 168
Replace Yun Liao with:
Yun Liao China
William Nseir Israel
Yu‐Mi Lee South Korea
Ferdaus Hassan United States
Yan Jun Song China
Yucai Zhang China
Ron B. Schifman United States
Veena Shetty India
Jens Dreier Germany
Yao‐Jong Yang Taiwan
Hsiao‐Chen Ning relative to Yun Liao China Yun Liao's profile →
Citations per field
00.5×5×10×16.3×
Yun Liao · 1×
Citations per year

Countries citing papers authored by Hsiao‐Chen Ning

Since Specialization
Citations

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

Fields of papers citing papers by Hsiao‐Chen Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiao‐Chen Ning. 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‐Chen Ning. The network helps show where Hsiao‐Chen Ning may publish in the future.

Co-authors

The 25 scholars most cited alongside Hsiao‐Chen Ning, 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‐Chen Ning Line = papers co-authored together Hsiao‐Chen Ning 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 1999360
2 2002215
3 1999198
4 2000131
5 200090
6 200258
7 201852
8 199751
9 200650
10 200342
11 200033
12 201133
13 201628
14 201419
15 201619
16 201819
17 200217
18 201417
19 199916
20 201414

About Hsiao‐Chen Ning

Hsiao‐Chen Ning is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Endocrinology, Nephrology and Epidemiology, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (8 papers), Infectious Encephalopathies and Encephalitis (4 papers), Clinical Laboratory Practices and Quality Control (3 papers), Infections and bacterial resistance (3 papers), Respiratory viral infections research (3 papers), Heavy Metal Exposure and Toxicity (2 papers), Innovations in Medical Education (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (865 citations), Infectious Diseases (482 citations), Endocrinology (49 citations), Nephrology (62 citations) and Epidemiology (168 citations). Hsiao‐Chen Ning has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Tzou‐Yien Lin, Shin‐Ru Shih, Luan‐Yin Chang, Yhu‐Chering Huang, Kuang‐Hung Hsu, Chuen Hsueh, Kuo‐Chien Tsao, Kuang‐Lin Lin, Chin‐Yun Lee and Mao‐Sheng Hwang. Their work appears in journals such as PLoS ONE, Clinica Chimica Acta, The Pediatric Infectious Disease Journal, Journal of Food and Drug Analysis and Journal of Clinical Virology.

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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