Robin Chan

5.2k total citations
65 papers, 3.7k citations indexed

About

Robin Chan is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Robin Chan has authored 65 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 18 papers in Physiology and 15 papers in Cell Biology. Recurrent topics in Robin Chan's work include Cellular transport and secretion (12 papers), Lipid Membrane Structure and Behavior (11 papers) and Alzheimer's disease research and treatments (10 papers). Robin Chan is often cited by papers focused on Cellular transport and secretion (12 papers), Lipid Membrane Structure and Behavior (11 papers) and Alzheimer's disease research and treatments (10 papers). Robin Chan collaborates with scholars based in United States, Singapore and Portugal. Robin Chan's co-authors include Gilbert Di Paolo, Markus R. Wenk, Tiago Gil Oliveira, Guanghou Shui, Scott A. Small, Karen Duff, Bowen Zhou, Yimeng Xu, Etty Cortés and Lawrence S. Honig and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Robin Chan

63 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robin Chan United States	34	2.0k	1.0k	800	549	350	65	3.7k
Junguk Hur United States	37	2.6k 1.3×	994 1.0×	1.0k 1.3×	690 1.3×	806 2.3×	141	5.1k
Mario Dı́az Spain	34	2.0k 1.0×	968 0.9×	380 0.5×	188 0.3×	259 0.7×	115	4.1k
Todd M. Greco United States	35	2.4k 1.2×	634 0.6×	260 0.3×	851 1.6×	274 0.8×	73	4.1k
John S. Beck United Kingdom	29	2.7k 1.3×	649 0.6×	564 0.7×	489 0.9×	176 0.5×	88	4.7k
Ye Tian China	28	3.2k 1.6×	627 0.6×	787 1.0×	1.5k 2.8×	453 1.3×	82	5.2k
Martin Kampmann United States	43	6.6k 3.3×	1.0k 1.0×	926 1.2×	567 1.0×	319 0.9×	96	8.7k
Jens Pahnke Germany	39	2.0k 1.0×	1.5k 1.4×	237 0.3×	325 0.6×	463 1.3×	161	5.1k
Tito Calí Italy	37	2.9k 1.4×	1.0k 1.0×	1.1k 1.3×	880 1.6×	936 2.7×	78	4.8k
Yuji Tanaka Japan	36	2.2k 1.1×	476 0.5×	458 0.6×	723 1.3×	778 2.2×	116	4.7k
Brett A. Kaufman United States	36	3.6k 1.8×	683 0.7×	287 0.4×	651 1.2×	195 0.6×	87	6.0k

Countries citing papers authored by Robin Chan

Since Specialization

Citations

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

Fields of papers citing papers by Robin Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin Chan

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

All Works

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20 of 20 papers shown

Chan, Robin, et al.. (2024). Adapting LLMs for Structured Natural Language API Integration. 991–1000. 1 indexed citations

Chan, Robin, et al.. (2024). On Efficiently Representing Regular Languages as RNNs. 4118–4135. 1 indexed citations

Chan, Robin, Matthias Rottmann, Peter Schlicht, et al.. (2023). What should AI see? Using the public’s opinion to determine the perception of an AI. AI and Ethics. 3(4). 1381–1405. 3 indexed citations

Cazenave‐Gassiot, Amaury, Yimeng Xu, Robin Chan, et al.. (2023). Lysosomal phospholipase A2 contributes to the biosynthesis of the atypical late endosome lipid bis(monoacylglycero)phosphate. Communications Biology. 6(1). 210–210. 16 indexed citations

Yu, Zhenwei, Ying Yang, Robin Chan, et al.. (2023). GV ‐971 attenuates α‐Synuclein aggregation and related pathology. CNS Neuroscience & Therapeutics. 30(2). e14393–e14393. 10 indexed citations

Stingone, Jeanette A., et al.. (2023). Utilizing machine learning and lipidomics to distinguish primary lateral sclerosis from amyotrophic lateral sclerosis. Muscle & Nerve. 67(4). 306–310. 4 indexed citations

Miranda, André Miguel, Archana Ashok, Robin Chan, et al.. (2022). Effects of APOE4 allelic dosage on lipidomic signatures in the entorhinal cortex of aged mice. Translational Psychiatry. 12(1). 129–129. 32 indexed citations

Castanho, Isabel, André Miguel Miranda, Torcato Meira, et al.. (2020). Phospholipase D1 Ablation Disrupts Mouse Longitudinal Hippocampal Axis Organization and Functioning. Cell Reports. 30(12). 4197–4208.e6. 15 indexed citations

Miranda, André Miguel, et al.. (2019). Differential lipid composition and regulation along the hippocampal longitudinal axis. Translational Psychiatry. 9(1). 144–144. 40 indexed citations

10.

Chan, Robin, Adler Perotte, Bowen Zhou, et al.. (2017). Elevated GM3 plasma concentration in idiopathic Parkinson’s disease: A lipidomic analysis. PLoS ONE. 12(2). e0172348–e0172348. 88 indexed citations

11.

Diaz‐Rohrer, Barbara, Madeline M. Farley, Robin Chan, et al.. (2016). Remodeling of the postsynaptic plasma membrane during neural development. Molecular Biology of the Cell. 27(22). 3480–3489. 80 indexed citations

12.

Hsieh, Joanne, Masahiro Koseki, Matthew M. Molusky, et al.. (2016). TTC39B deficiency stabilizes LXR reducing both atherosclerosis and steatohepatitis. Nature. 535(7611). 303–307. 69 indexed citations

13.

Ekland, Eric H., Kelly V. Ruggles, Robin Chan, et al.. (2015). Profiling the Essential Nature of Lipid Metabolism in Asexual Blood and Gametocyte Stages of Plasmodium falciparum. Cell Host & Microbe. 18(3). 371–381. 120 indexed citations

14.

Vevea, Jason, Enrique J. Garcia, Robin Chan, et al.. (2015). Role for Lipid Droplet Biogenesis and Microlipophagy in Adaptation to Lipid Imbalance in Yeast. Developmental Cell. 35(5). 584–599. 158 indexed citations

15.

Dumont, Magali, Cliona Stack, Ceyhan Elipenahli, et al.. (2012). Bezafibrate administration improves behavioral deficits and tau pathology in P301S mice. Human Molecular Genetics. 21(23). 5091–5105. 64 indexed citations

16.

Frère, Samuel, et al.. (2011). Synaptojanin 1-Mediated PI(4,5)P2 Hydrolysis Is Modulated by Membrane Curvature and Facilitates Membrane Fission. Developmental Cell. 20(2). 206–218. 127 indexed citations

17.

Oliveira, Tiago Gil, Robin Chan, Huasong Tian, et al.. (2010). Phospholipase D2 Ablation Ameliorates Alzheimer's Disease-Linked Synaptic Dysfunction and Cognitive Deficits. Journal of Neuroscience. 30(49). 16419–16428. 141 indexed citations

18.

Chan, Robin, Lukas B. Tanner, & Markus R. Wenk. (2010). Implications for lipids during replication of enveloped viruses. Chemistry and Physics of Lipids. 163(6). 449–459. 39 indexed citations

19.

Wu, Jinlu, Robin Chan, Markus R. Wenk, & C L Hew. (2010). Lipidomic study of intracellular Singapore grouper iridovirus. Virology. 399(2). 248–256. 23 indexed citations

20.

Yeo, Dawn Su-Yin, Robin Chan, Gaie Brown, et al.. (2009). Evidence that selective changes in the lipid composition of raft-membranes occur during respiratory syncytial virus infection. Virology. 386(1). 168–182. 38 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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