Luan Luu

2.6k total citations
10 papers, 82 citations indexed

About

Luan Luu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Luan Luu has authored 10 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Neurology. Recurrent topics in Luan Luu's work include Genetic Neurodegenerative Diseases (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Autophagy in Disease and Therapy (3 papers). Luan Luu is often cited by papers focused on Genetic Neurodegenerative Diseases (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Autophagy in Disease and Therapy (3 papers). Luan Luu collaborates with scholars based in Australia, United States and Canada. Luan Luu's co-authors include Roberto Cappai, Giuseppe D. Ciccotosto, Angela S. Laird, Albert Lee, Kristy C. Yuan, Maxinne Watchon, Roger S. Chung, Katherine J. Robinson, Jennilee M. Davidson and Stephanie L. Rayner and has published in prestigious journals such as The FASEB Journal, Neurobiology of Disease and Cells.

In The Last Decade

Luan Luu

9 papers receiving 81 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Luan Luu Australia	7	51	28	26	24	15	10	82
Khanh‐Dung H. Nguyen United States	4	85 1.7×	34 1.2×	33 1.3×	21 0.9×	15 1.0×	4	145
Benjamin O’Callaghan United Kingdom	7	81 1.6×	30 1.1×	35 1.3×	16 0.7×	6 0.4×	11	162
Eugenia Borgione Italy	8	81 1.6×	22 0.8×	27 1.0×	11 0.5×	5 0.3×	19	125
Etsuro Nakanishi Japan	6	41 0.8×	51 1.8×	20 0.8×	29 1.2×	34 2.3×	18	119
Jingli Shan China	7	62 1.2×	12 0.4×	16 0.6×	27 1.1×	4 0.3×	7	98
Christopher Yanick United States	5	54 1.1×	25 0.9×	63 2.4×	11 0.5×	8 0.5×	7	96
Sibylle Wilfling Germany	4	22 0.4×	64 2.3×	13 0.5×	20 0.8×	10 0.7×	9	89
Charlotte Cochaud France	4	83 1.6×	48 1.7×	12 0.5×	21 0.9×	3 0.2×	4	104
Kecheng Guo China	6	52 1.0×	45 1.6×	15 0.6×	26 1.1×	12 0.8×	13	141
Michelle Maxwell United States	2	40 0.8×	30 1.1×	19 0.7×	39 1.6×	45 3.0×	2	130

Countries citing papers authored by Luan Luu

Since Specialization

Citations

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

Fields of papers citing papers by Luan Luu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luan Luu. 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 Luan Luu. The network helps show where Luan Luu may publish in the future.

Co-authorship network of co-authors of Luan Luu

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Maurel, Cindy, Natalie M. Scherer, Luan Luu, et al.. (2025). Critical impact of lysine 136 in TDP-43 phase separation, compartmentalization, and aggregation in living vertebrates. iScience. 28(7). 112761–112761.

2.

Watchon, Maxinne, Katherine J. Robinson, Luan Luu, et al.. (2024). Treatment with sodium butyrate induces autophagy resulting in therapeutic benefits for spinocerebellar ataxia type 3. The FASEB Journal. 38(2). e23429–e23429. 7 indexed citations

3.

Rayner, Stephanie L., Alison Hogan, Jennilee M. Davidson, et al.. (2024). Cyclin F can alter the turnover of TDP-43. Neurobiology of Disease. 192. 106421–106421. 2 indexed citations

4.

Watchon, Maxinne, et al.. (2023). Autophagy Function and Benefits of Autophagy Induction in Models of Spinocerebellar Ataxia Type 3. Cells. 12(6). 893–893. 9 indexed citations

5.

Robinson, Katherine J., et al.. (2023). Machado Joseph disease severity is linked with gut microbiota alterations in transgenic mice. Neurobiology of Disease. 179. 106051–106051. 5 indexed citations

6.

Rayner, Stephanie L., Alison Hogan, Jennilee M. Davidson, et al.. (2022). Cyclin F, Neurodegeneration, and the Pathogenesis of ALS/FTD. The Neuroscientist. 30(2). 214–228. 7 indexed citations

7.

Rayner, Stephanie L., Shu Yang, Natalie E. Farrawell, et al.. (2022). TDP-43 is a ubiquitylation substrate of the SCFcyclin F complex. Neurobiology of Disease. 167. 105673–105673. 15 indexed citations

8.

Watchon, Maxinne, Luan Luu, Katherine J. Robinson, et al.. (2021). Sodium valproate increases activity of the sirtuin pathway resulting in beneficial effects for spinocerebellar ataxia-3 in vivo. Molecular Brain. 14(1). 14 indexed citations

9.

Luu, Luan, Giuseppe D. Ciccotosto, & Roberto Cappai. (2021). The Alzheimer’s Disease Amyloid Precursor Protein and its Neuritogenic Actions. Current Alzheimer Research. 18(10). 772–786. 15 indexed citations

10.

Luu, Luan, Giuseppe D. Ciccotosto, Laura J. Vella, et al.. (2018). Amyloid Precursor Protein Dimerisation Reduces Neurite Outgrowth. Molecular Neurobiology. 56(1). 13–28. 8 indexed citations

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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