Hsiang‐Chi Kung

656 citations
22 papers · 392 indexed · h-index 14
Topics
Influenza Virus Research Studies (6 papers)Antifungal resistance and susceptibility (6 papers)Antibiotic Resistance in Bacteria (5 papers)
Partner nations
TaiwanUnited StatesIndia

In The Last Decade

Hsiang‐Chi Kung

21 papers receiving 384 citations

Peers

Hsiang‐Chi Kung
Comparison fields: 5 of 68
  • Epidemiology 284
  • Infectious Diseases 234
  • Oncology 58
  • Molecular Medicine 47
  • Pharmacology 39
Replace Kaiyuan Cao with:
Kaiyuan Cao China
Kamolwish Laoprasopwattana Thailand
Simona Paraschiv Romania
Enas Daef Egypt
Vijaya Lakshmi Nag India
Katherine M. Gaskell United Kingdom
José Luis Fuentes-Allen Mexico
L. Calatayud United Kingdom
Johanna Kessel Germany
Laura Magnasco Italy
Hsiang‐Chi Kung relative to Kaiyuan Cao China Kaiyuan Cao's profile →
Citations per field
00.5×1.5×2.1×
Kaiyuan Cao · 1×
Citations per year

Countries citing papers authored by Hsiang‐Chi Kung

Since Specialization
Citations

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

Fields of papers citing papers by Hsiang‐Chi Kung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiang‐Chi Kung. 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 Hsiang‐Chi Kung. The network helps show where Hsiang‐Chi Kung may publish in the future.

Co-authorship network of co-authors of Hsiang‐Chi Kung

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiang‐Chi Kung. A scholar is included among the top collaborators of Hsiang‐Chi Kung 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 Hsiang‐Chi Kung. Hsiang‐Chi Kung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 24
2 41
3 13
4 34
5 41
6 11
7 8
8 12
9 23
10 16
11 0
12 20
13 5
14 3
15 12
16 4
17 17
18 19
19 13
20
Influenza in China in 1977: recurrence of influenzavirus A subtype H1N1.
29

About Hsiang‐Chi Kung

Hsiang‐Chi Kung is a scholar working on Molecular Medicine, Infectious Diseases and Epidemiology, having authored 22 papers that have together received 392 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), Antifungal resistance and susceptibility (6 papers) and Antibiotic Resistance in Bacteria (5 papers). The work is most often cited by research in Infectious Diseases (234 citations), Applied Microbiology and Biotechnology (24 citations) and Molecular Medicine (47 citations). Hsiang‐Chi Kung has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Yee‐Chun Chen, Shan‐Chwen Chang, Yin-Ching Chuang, Szu‐Min Hsieh, Bor‐Sheng Ko, Po‐Ren Hsueh, Un‐In Wu, Wei‐Ting Chen, Richard H. Drew and Cordia Chu. Their work appears in journals such as PLoS ONE, Vaccine and International Journal of Antimicrobial Agents.

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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