Cherng‐Lih Perng

2.1k citations
74 papers · 1.5k indexed · h-index 20
Topics
SARS-CoV-2 and COVID-19 Research (14 papers)SARS-CoV-2 detection and testing (14 papers)Bacterial Identification and Susceptibility Testing (12 papers)
Journals
SHILAP Revista de lepidopterologíaGastroenterologyPLoS ONE
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Cherng‐Lih Perng

70 papers receiving 1.5k citations

Peers

Cherng‐Lih Perng
Comparison fields: 5 of 111
  • Infectious Diseases 625
  • Molecular Biology 447
  • Epidemiology 427
  • Molecular Medicine 239
  • Clinical Biochemistry 196
Replace Kirsten Schaffer with:
Kirsten Schaffer Ireland
Natalie Knox Canada
Hans‐Jörg Linde Germany
Stefan Ziesing Germany
Chun‐Chih Chien Taiwan
Adam G. Stewart Australia
Yong Chong Japan
Frank E. Berkowitz United States
Tsute Chen United States
Fabio Rossano Italy
Cherng‐Lih Perng relative to Kirsten Schaffer Ireland Kirsten Schaffer's profile →
Citations per field
00.5×1.5×2.1×
Kirsten Schaffer · 1×
Citations per year

Countries citing papers authored by Cherng‐Lih Perng

Since Specialization
Citations

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

Fields of papers citing papers by Cherng‐Lih Perng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cherng‐Lih Perng. 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 Cherng‐Lih Perng. The network helps show where Cherng‐Lih Perng may publish in the future.

Co-authorship network of co-authors of Cherng‐Lih Perng

This figure shows the co-authorship network connecting the top 25 collaborators of Cherng‐Lih Perng. A scholar is included among the top collaborators of Cherng‐Lih Perng 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 Cherng‐Lih Perng. Cherng‐Lih Perng 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 8
2 0
3 4
4 5
5 5
6 3
7 6
8 11
9 9
10 19
11 18
12 39
13 37
14 34
15 15
16 18
17 73
18 6
19 17
20 39

About Cherng‐Lih Perng

Cherng‐Lih Perng is a scholar working on Molecular Medicine, Clinical Biochemistry and Infectious Diseases, having authored 74 papers that have together received 1.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), SARS-CoV-2 detection and testing (14 papers) and Bacterial Identification and Susceptibility Testing (12 papers). The work is most often cited by research in Molecular Medicine (239 citations), Infectious Diseases (625 citations) and Endocrinology (160 citations). Cherng‐Lih Perng has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Jang‐Jih Lu, Shih-Yi Lee, Lee‐Jun C. Wong, Jung‐Chung Lin, Hung‐Sheng Shang, Jun‐Ren Sun, Feng‐Yee Chang, Chang-Hung Hsu, Kuo‐Ming Yeh and Ming‐Jr Jian. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

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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