Jung-Chung Lin

877 citations
30 papers · 675 indexed · h-index 17
Topics
Antibiotic Resistance in Bacteria (11 papers)Viral-associated cancers and disorders (11 papers)Cytomegalovirus and herpesvirus research (6 papers)
Partner nations
TaiwanUnited StatesItaly

In The Last Decade

Jung-Chung Lin

29 papers receiving 649 citations

Peers

Jung-Chung Lin
Comparison fields: 5 of 69
  • Epidemiology 247
  • Oncology 246
  • Molecular Medicine 209
  • Infectious Diseases 174
  • Molecular Biology 94
Replace Kwen‐Tay Luh with:
Kwen‐Tay Luh Taiwan
Ahmad Adebayo Irekeola Malaysia
José Luís López-Hontangas Spain
Rafidah Hanim Shueb Malaysia
Haiqing Chu China
Nuria Tormo Spain
Jyotsna Agarwal India
Huifen Ye China
Tessa M. Andermann United States
Mao-Wang Ho Taiwan
Jung-Chung Lin relative to Kwen‐Tay Luh Taiwan Kwen‐Tay Luh's profile →
Citations per field
00.5×10.5×
Kwen‐Tay Luh · 1×
Citations per year

Countries citing papers authored by Jung-Chung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jung-Chung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung-Chung Lin. 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 Jung-Chung Lin. The network helps show where Jung-Chung Lin may publish in the future.

Co-authorship network of co-authors of Jung-Chung Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jung-Chung Lin. A scholar is included among the top collaborators of Jung-Chung Lin 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 Jung-Chung Lin. Jung-Chung Lin 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 4
2 1
3 16
4 47
5 17
6 27
7 23
8 15
9 48
10 8
11 39
12 29
13 14
14 3
15 54
16 19
17 17
18 4
19 74
20 59

About Jung-Chung Lin

Jung-Chung Lin is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 30 papers that have together received 675 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (11 papers), Viral-associated cancers and disorders (11 papers) and Cytomegalovirus and herpesvirus research (6 papers). The work is most often cited by research in Molecular Medicine (209 citations), Applied Microbiology and Biotechnology (48 citations) and Endocrinology (86 citations). Jung-Chung Lin has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include Joseph S. Pagano, M C Smith, L. Kristopher Siu, Feng‐Yee Chang, Yi-Tsung Lin, Lu Zhang, Jason Chiu, Chang-Phone Fung, Po‐Liang Lu and James E. Shaw. Their work appears in journals such as Scientific Reports, Annals of the New York Academy of Sciences and CHEST Journal.

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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