Yuan-Nian Hsu

519 citations
17 papers · 330 indexed · h-index 8

Yuan-Nian Hsu

17 papers receiving 319 citations

Peers

Yuan-Nian Hsu
Comparison fields: 5 of 93
  • Modeling and Simulation 26
  • Infectious Diseases 79
  • Emergency Medicine 36
  • Health Informatics 3
  • Public Health, Environmental and Occupational Health 62
Replace Kathrin Hauptmann with:
Kathrin Hauptmann Germany
Peter Ruestow United States
Juliana Tolles United States
Guoqiang Du China
Yao Ni China
Jana Ihlow Germany
Bairbre McNicholas Ireland
Songpu Xie China
Jyoti Kotwal India
Róisín Adams Ireland
Yuan-Nian Hsu relative to Kathrin Hauptmann Germany Kathrin Hauptmann's profile →
Citations per field
00.5×4.2×
Kathrin Hauptmann · 1×
Citations per year

Countries citing papers authored by Yuan-Nian Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Yuan-Nian Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan-Nian Hsu. 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 Yuan-Nian Hsu. The network helps show where Yuan-Nian Hsu may publish in the future.

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20224
2 20226
3 20216
4 202114
5 202111
6 2020152
7 202015
8 20151
9 201452
10 201322
11 20135
12
Association of X-ray repair cross-complementing-6 genotypes with childhood leukemia.
201314
13 20127
14
Treatment incidence of orthopedic injuries among HIV-infected subjects in Taiwan: a dynamic cohort survey, 2005-2008
20124
15 20112
16 201114
17
Implementation of a central laboratory with consolidated laboratory network for central Taiwan national hospital union
20061

About Yuan-Nian Hsu

Yuan-Nian Hsu is a scholar working on Cancer Research, Emergency Medicine and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 330 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (4 papers), RNA modifications and cancer (3 papers), Peripheral Artery Disease Management (2 papers), Cancer-related Molecular Pathways (2 papers), Cancer-related molecular mechanisms research (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Blood properties and coagulation (1 paper) and Bone health and treatments (1 paper). The work is most often cited by research in Modeling and Simulation (26 citations), Infectious Diseases (79 citations) and Emergency Medicine (36 citations). Yuan-Nian Hsu has collaborated with scholars based in Taiwan and South Korea. Frequent co-authors include Nan‐Ping Yang, Dachen Chu, Nien‐Tzu Chang, Ren-Hao Pan, Lin‐Yu Tseng, DA-TIAN BAU, Pei‐Chen Hsu, Chia-Wen Tsai, Chien‐Lung Chan and Yung-Fu Chen. Their work appears in journals such as BMC Public Health, BMC Health Services Research and Computers in Biology and Medicine.

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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