Cheng-Yin Tseng

505 citations
10 papers · 344 indexed · h-index 9
Topics
COVID-19 and Mental Health (4 papers)Antibiotic Resistance in Bacteria (3 papers)Berberine and alkaloids research (2 papers)
Partner nations
TaiwanUnited States

In The Last Decade

Cheng-Yin Tseng

10 papers receiving 335 citations

Peers

Cheng-Yin Tseng
Comparison fields: 5 of 94
  • Infectious Diseases 94
  • Clinical Psychology 66
  • Epidemiology 66
  • Modeling and Simulation 60
  • Pulmonary and Respiratory Medicine 58
Replace Preethi Sundararaman with:
Preethi Sundararaman United States
Nata Pratama Hardjo Lugito Indonesia
Haleema Alserehi Saudi Arabia
Yae Jee Baek South Korea
Hamed Alzoubi Jordan
Amin A. Aqel Jordan
Thamer H. Alenazi Saudi Arabia
Jung Wan Park South Korea
Oliver Kacelnik Norway
François Bénézit France
Cheng-Yin Tseng relative to Preethi Sundararaman United States Preethi Sundararaman's profile →
Citations per field
00.5×2.8×
Preethi Sundararaman · 1×
Citations per year

Countries citing papers authored by Cheng-Yin Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Yin Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Yin Tseng. 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 Cheng-Yin Tseng. The network helps show where Cheng-Yin Tseng may publish in the future.

Co-authorship network of co-authors of Cheng-Yin Tseng

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 9
2 19
3 10
4 8
5 198
6 38
7 14
8 31
9 16
10 1

About Cheng-Yin Tseng

Cheng-Yin Tseng is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Modeling and Simulation, having authored 10 papers that have together received 344 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Berberine and alkaloids research (2 papers). The work is most often cited by research in Modeling and Simulation (60 citations), Infectious Diseases (94 citations) and Molecular Medicine (25 citations). Cheng-Yin Tseng has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yu‐Lin Tai, Hsin Chi, Chien‐Yu Lin, Chung-Chu Chen, Nan-Chang Chiu, Chun-Chih Peng, Boon‐Fatt Tan, Mao-Feng Sun, Chien-Chen Wu and Tien‐Huang Lin. Their work appears in journals such as Frontiers in Microbiology, Journal of Antimicrobial Chemotherapy and Journal of Medical Internet Research.

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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