Lu‐Tai Tien

66 total papers · 1.7k total citations
51 papers, 1.4k citations indexed

About

Lu‐Tai Tien is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Lu‐Tai Tien has authored 51 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 19 papers in Molecular Biology and 19 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Lu‐Tai Tien's work include Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Neonatal and fetal brain pathology (15 papers) and Receptor Mechanisms and Signaling (10 papers). Lu‐Tai Tien is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Neonatal and fetal brain pathology (15 papers) and Receptor Mechanisms and Signaling (10 papers). Lu‐Tai Tien collaborates with scholars based in Taiwan, United States and Japan. Lu‐Tai Tien's co-authors include Lir‐Wan Fan, Zhengwei Cai, Yi Pang, Philip G. Rhodes, Abhay Bhatt, Tangeng Ma, Asuka Kaizaki, Rick C.S. Lin, Yih‐Jing Lee and Baoying Zheng and has published in prestigious journals such as Scientific Reports, Brain Research and International Journal of Molecular Sciences.

In The Last Decade

Lu‐Tai Tien

50 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Lu‐Tai Tien 412 388 374 344 251 51 1.4k
Lir‐Wan Fan 543 1.3× 592 1.5× 261 0.7× 320 0.9× 341 1.4× 56 1.8k
Juliette Van Steenwinckel 373 0.9× 353 0.9× 369 1.0× 290 0.8× 188 0.7× 42 1.6k
Leon G. Coleman 689 1.7× 169 0.4× 408 1.1× 382 1.1× 136 0.5× 39 1.5k
Sylvie Bodard 169 0.4× 354 0.9× 477 1.3× 501 1.5× 135 0.5× 63 1.8k
Paola Morales 219 0.5× 506 1.3× 437 1.2× 379 1.1× 185 0.7× 75 1.6k
Joseph L. Nuñez 214 0.5× 283 0.7× 604 1.6× 371 1.1× 427 1.7× 41 1.7k
Antoine Pianos 185 0.4× 148 0.4× 541 1.4× 488 1.4× 168 0.7× 35 1.8k
Angelisa Frasca 282 0.7× 134 0.3× 727 1.9× 474 1.4× 109 0.4× 45 1.5k
Yolanda Diz-Chaves 318 0.8× 142 0.4× 214 0.6× 236 0.7× 145 0.6× 40 1.5k
Ana Belén López-Rodríguez 398 1.0× 85 0.2× 241 0.6× 320 0.9× 112 0.4× 35 1.2k

Countries citing papers authored by Lu‐Tai Tien

Since Specialization
Citations

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

Fields of papers citing papers by Lu‐Tai Tien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lu‐Tai Tien. 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 Lu‐Tai Tien. The network helps show where Lu‐Tai Tien may publish in the future.

Co-authorship network of co-authors of Lu‐Tai Tien

This figure shows the co-authorship network connecting the top 25 collaborators of Lu‐Tai Tien. A scholar is included among the top collaborators of Lu‐Tai Tien 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 Lu‐Tai Tien. Lu‐Tai Tien 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