Tu‐Fa Lien

30 total papers · 950 total citations
28 papers, 753 citations indexed

About

Tu‐Fa Lien is a scholar working on Animal Science and Zoology, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Tu‐Fa Lien has authored 28 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Animal Science and Zoology, 7 papers in Molecular Biology and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Tu‐Fa Lien's work include Animal Nutrition and Physiology (12 papers), Chromium effects and bioremediation (7 papers) and Meat and Animal Product Quality (4 papers). Tu‐Fa Lien is often cited by papers focused on Animal Nutrition and Physiology (12 papers), Chromium effects and bioremediation (7 papers) and Meat and Animal Product Quality (4 papers). Tu‐Fa Lien collaborates with scholars based in Taiwan, United States and Australia. Tu‐Fa Lien's co-authors include Tobias Steiner, Chao‐Ming Fu, Jin-Jenn Lu, Shih-Yi Chen, Ching Yuan Hu, D. P. Froman, Shiyi Chen, Chean‐Ping Wu, Chunyi Li and B. J. Leury and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of the Science of Food and Agriculture and Biological Trace Element Research.

In The Last Decade

Tu‐Fa Lien

28 papers receiving 710 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tu‐Fa Lien 440 214 153 144 113 28 753
Dalia H. Samak 203 0.5× 192 0.9× 81 0.5× 75 0.5× 89 0.8× 24 728
Wioletta Samolińska 315 0.7× 322 1.5× 170 1.1× 177 1.2× 32 0.3× 48 827
Zhenghao Xu 352 0.8× 294 1.4× 135 0.9× 103 0.7× 39 0.3× 33 900
Miaomiao Han 146 0.3× 176 0.8× 96 0.6× 94 0.7× 75 0.7× 30 794
Mahmood Habibian 549 1.2× 192 0.9× 44 0.3× 188 1.3× 97 0.9× 34 789
Wenjuan Xun 205 0.5× 207 1.0× 74 0.5× 379 2.6× 76 0.7× 26 801
Irene Albertos 256 0.6× 140 0.7× 270 1.8× 86 0.6× 45 0.4× 29 754
Fu Chen 279 0.6× 210 1.0× 69 0.5× 335 2.3× 104 0.9× 27 820
Shunyi Qin 258 0.6× 237 1.1× 98 0.6× 447 3.1× 74 0.7× 30 689
Arkadiusz Szpicer 259 0.6× 112 0.5× 421 2.8× 131 0.9× 44 0.4× 49 772

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-authorship network of co-authors of Tu‐Fa Lien

This figure shows the co-authorship network connecting the top 25 collaborators of Tu‐Fa Lien. A scholar is included among the top collaborators of Tu‐Fa Lien 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 Tu‐Fa Lien. Tu‐Fa Lien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026