Jin‐Ching Lee

3.7k total citations
99 papers, 3.0k citations indexed

About

Jin‐Ching Lee is a scholar working on Molecular Biology, Hepatology and Epidemiology. According to data from OpenAlex, Jin‐Ching Lee has authored 99 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 37 papers in Hepatology and 27 papers in Epidemiology. Recurrent topics in Jin‐Ching Lee's work include Hepatitis C virus research (36 papers), Mosquito-borne diseases and control (20 papers) and Hepatitis B Virus Studies (12 papers). Jin‐Ching Lee is often cited by papers focused on Hepatitis C virus research (36 papers), Mosquito-borne diseases and control (20 papers) and Hepatitis B Virus Studies (12 papers). Jin‐Ching Lee collaborates with scholars based in Taiwan, United States and Mongolia. Jin‐Ching Lee's co-authors include Chun‐Kuang Lin, Yu‐Hsuan Wu, Chin-Kai Tseng, Wei‐Chun Chen, Fang‐Rong Chang, Hsueh‐Wei Chang, Jen‐Yang Tang, Ming‐Feng Hou, Yen‐Hsu Chen and Hurng-Wern Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jin‐Ching Lee

98 papers receiving 3.0k citations

Peers

Jin‐Ching Lee
Comparison fields: 5 of 123
  • Molecular Biology 1.2k
  • Infectious Diseases 533
  • Epidemiology 463
  • Hepatology 391
  • Public Health, Environmental and Occupational Health 384
Replace Liang Lin with:
Liang Lin Taiwan
Jing Liu China
Shuzo Otani Japan
Syed Akhtar Husain India
Huifen Wang China
Theresa May Chin Tan Singapore
Yuan Lin China
Takeshi Saito Japan
Somchai Pinlaor Thailand
Puangrat Yongvanit Thailand
Liang Lin Taiwan View profile →
Citations per field, relative to Jin‐Ching Lee
Jin‐Ching Lee · 1×
Citations per year, relative to Jin‐Ching Lee
Jin‐Ching Lee · 1×

Countries citing papers authored by Jin‐Ching Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Ching Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Ching Lee. 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 Jin‐Ching Lee. The network helps show where Jin‐Ching Lee may publish in the future.

Co-authorship network of co-authors of Jin‐Ching Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Ching Lee. A scholar is included among the top collaborators of Jin‐Ching Lee 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 Jin‐Ching Lee. Jin‐Ching Lee 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
# Work Indexed citations
1 0
2 11
3 4
4 11
5 8
6 42
7 12
8 17
9 20
10 29
11 35
12 69
13 5
14 15
15 90
16 8
17 5
18 12
19 145
20 8

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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