Te-Sheng Lien

22 papers receiving 327 citations

Peers

Te-Sheng Lien
Comparison fields: 5 of 63
  • Biological Psychiatry 13
  • Infectious Diseases 89
  • Hematology 44
  • Behavioral Neuroscience 14
  • Public Health, Environmental and Occupational Health 96
Replace Xi-zhi J. Guo with:
Xi-zhi J. Guo United States
Luciano D’Attilio Argentina
Antonella D’Ambrosio Italy
Xuzhe Zhang China
Djénéba Dabitao United States
Silvia Lucena Lage United States
Ana Flávia Popi Brazil
Nitya Jain United States
Katarzyna Marcińska Poland
Katherine A. Deets United States
Te-Sheng Lien relative to Xi-zhi J. Guo United States Xi-zhi J. Guo's profile →
Citations per field
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Xi-zhi J. Guo · 1×
Citations per year

Countries citing papers authored by Te-Sheng Lien

Since Specialization
Citations

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

Fields of papers citing papers by Te-Sheng Lien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Te-Sheng Lien. 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 Te-Sheng Lien. The network helps show where Te-Sheng Lien may publish in the future.

Co-authors

The 25 scholars most cited alongside Te-Sheng Lien, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Te-Sheng Lien Line = papers co-authored together Te-Sheng Lien links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201049
2 202137
3 202133
4 201531
5 202129
6 201926
7 201817
8 202117
9 201015
10 201215
11 201814
12 202211
13 20228
14 20235
15 20235
16 20234
17 20234
18 20252
19 20232
20 20242

About Te-Sheng Lien

Te-Sheng Lien is a scholar working on Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health, Immunology and Hematology, having authored 23 papers that have together received 329 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (6 papers), Viral Infections and Vectors (5 papers), Malaria Research and Control (4 papers), Inflammasome and immune disorders (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers), Bacillus and Francisella bacterial research (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Biological Psychiatry (13 citations), Infectious Diseases (89 citations), Hematology (44 citations), Behavioral Neuroscience (14 citations) and Public Health, Environmental and Occupational Health (96 citations). Te-Sheng Lien has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Hsin‐Hou Chang, Der‐Shan Sun, Hsuan-Shun Huang, Shih‐Che Hung, Cheng-Yeu Wu, Hao Chan, Wen‐Sheng Wu, Chi‐Tan Hu, Yung‐Luen Shih and Chin-Cheng Lee. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Immunology, Cells, Stem Cell Research & Therapy and BioResources.

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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