Kuang-Nan Hsiao

733 citations
11 papers · 620 indexed · h-index 10
Topics
Viral Infections and Immunology Research (4 papers)Viral gastroenteritis research and epidemiology (2 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Kuang-Nan Hsiao

11 papers receiving 609 citations

Peers

Kuang-Nan Hsiao
Comparison fields: 5 of 67
  • Molecular Biology 258
  • Cardiology and Cardiovascular Medicine 201
  • Infectious Diseases 197
  • Genetics 132
  • Food Science 99
Replace Ada G. Cino‐Ozuna with:
Ada G. Cino‐Ozuna United States
Arash Ghalyanchi Langeroudi Iran
Meilan Mo China
M. Palanivelu India
E. Bürgi Switzerland
Min‐Yuan Chia Taiwan
Yuancheng Zhou China
I.M. Rodríguez-Gómez Spain
Einhart Werhahn Germany
Zhe Ma China
Kuang-Nan Hsiao relative to Ada G. Cino‐Ozuna United States Ada G. Cino‐Ozuna's profile →
Citations per field
00.5×
Ada G. Cino‐Ozuna · 1×
Citations per year

Countries citing papers authored by Kuang-Nan Hsiao

Since Specialization
Citations

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

Fields of papers citing papers by Kuang-Nan Hsiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuang-Nan Hsiao

This figure shows the co-authorship network connecting the top 25 collaborators of Kuang-Nan Hsiao. A scholar is included among the top collaborators of Kuang-Nan Hsiao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kuang-Nan Hsiao. Kuang-Nan Hsiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 10
2 9
3 47
4 67
5 119
6 10
7 89
8 24
9 83
10 45
11 117

About Kuang-Nan Hsiao

Kuang-Nan Hsiao is a scholar working on Microbiology, Reproductive Medicine and Infectious Diseases, having authored 11 papers that have together received 620 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (4 papers), Viral gastroenteritis research and epidemiology (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). The work is most often cited by research in Infectious Diseases (197 citations), Cardiology and Cardiovascular Medicine (201 citations) and Reproductive Medicine (73 citations). Kuang-Nan Hsiao has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Pele Chong, Chia‐Chyi Liu, Fujitoshi Yanagida, Yi-sheng Chen, Yen‐Hung Chow, Charles Sia, Chung‐Shi Yang, Yu-Chao Wang, Ai‐Hsiang Chou and Yu‐Ching Chen. Their work appears in journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of 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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