Tu‐Fa Lien

965 citations
28 papers · 767 · h-index 12

Impact in

Papers in

Tu‐Fa Lien

28 papers receiving 727 citations

Peers

Tu‐Fa Lien
Comparison fields: 5 of 82
  • Animal Science and Zoology 434
  • Nutrition and Dietetics 139
  • Health, Toxicology and Mutagenesis 113
  • Food Science 148
  • Plant Science 212
Replace Mahmood Habibian with:
Mahmood Habibian Iran
Jin-Jenn Lu Taiwan
Meryem Eren Türkiye
Qiaofen Cheng United Kingdom
Jintian He China
A.M. Pustjens Netherlands
V. Kurtoğlu Türkiye
Huanwei Peng China
Tatjana Tasić Serbia
G. Shyam Sunder India
Tu‐Fa Lien relative to Mahmood Habibian Iran Mahmood Habibian's profile →
Citations per field
00.5×3.4×
Mahmood Habibian · 1×
Citations per year

Countries citing papers authored by Tu‐Fa Lien

Since Specialization
Citations

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

Fields of papers citing papers by Tu‐Fa Lien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tu‐Fa 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 Tu‐Fa Lien. The network helps show where Tu‐Fa Lien may publish in the future.

Co-authors

The 25 scholars most cited alongside Tu‐Fa 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 Tu‐Fa Lien Line = papers co-authored together Tu‐Fa Lien links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012207
2 2009102
3 201273
4 201659
5 199645
6 201239
7 201333
8 200931
9 201429
10 201721
11 200819
12 200315
13 202011
14 200911
15 199910
16 20127
17 20166
18 20136
19 20236
20 20206

About Tu‐Fa Lien

Tu‐Fa Lien is a scholar working on Animal Science and Zoology, Molecular Biology, Health, Toxicology and Mutagenesis, Nutrition and Dietetics and Water Science and Technology, having authored 28 papers that have together received 767 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (12 papers), Chromium effects and bioremediation (7 papers), Meat and Animal Product Quality (4 papers), Nanoparticles: synthesis and applications (3 papers), Trace Elements in Health (3 papers), Adsorption and biosorption for pollutant removal (3 papers), Fatty Acid Research and Health (2 papers) and Animal health and immunology (2 papers). The work is most often cited by research in Animal Science and Zoology (434 citations), Nutrition and Dietetics (139 citations), Health, Toxicology and Mutagenesis (113 citations), Food Science (148 citations) and Plant Science (212 citations). Tu‐Fa Lien has collaborated with scholars based in Taiwan, Australia and United States. Frequent co-authors include Tobias Steiner, Chao‐Ming Fu, Jin-Jenn Lu, Shih-Yi Chen, D. P. Froman, Ching Yuan Hu, Chean‐Ping Wu, Shiyi Chen, Chunyi Li and Frank R. Dunshea. Their work appears in journals such as Asian-Australasian Journal of Animal Sciences, Livestock Science, Journal of the Science of Food and Agriculture, Animal Production Science and Animal nutrition.

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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