Hang Lu

9.0k total citations · 1 hit paper
176 papers, 6.3k citations indexed

About

Hang Lu is a scholar working on Aging, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Hang Lu has authored 176 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Aging, 61 papers in Molecular Biology and 59 papers in Biomedical Engineering. Recurrent topics in Hang Lu's work include Genetics, Aging, and Longevity in Model Organisms (71 papers), 3D Printing in Biomedical Research (44 papers) and Photoreceptor and optogenetics research (25 papers). Hang Lu is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (71 papers), 3D Printing in Biomedical Research (44 papers) and Photoreceptor and optogenetics research (25 papers). Hang Lu collaborates with scholars based in United States, China and United Kingdom. Hang Lu's co-authors include Cornelia I. Bargmann, Matthew M. Crane, Yun Zhang, Kwanghun Chung, Jeffrey N. Stirman, Catherine A. Rivet, Martin A. Schmidt, Klavs F. Jensen, Stanislav Y. Shvartsman and Mei Zhan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Hang Lu

171 papers receiving 6.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pathogenic bacteria induce aversive olfactory learning in Caenorhabditis elegans

2005 603 citations Hang Lu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hang Lu United States	46	2.3k	2.3k	1.8k	1.2k	968	176	6.3k
Miriam B. Goodman United States	47	598 0.3×	2.8k 1.2×	2.4k 1.3×	1.6k 1.3×	1.8k 1.8×	119	6.4k
Aravinthan D. T. Samuel United States	49	687 0.3×	2.8k 1.3×	974 0.5×	2.6k 2.2×	1.9k 2.0×	94	6.5k
Sreekanth H. Chalasani United States	23	481 0.2×	1.3k 0.6×	1.1k 0.6×	1.9k 1.6×	1.0k 1.0×	45	4.2k
Rex Kerr United States	24	457 0.2×	1.4k 0.6×	2.4k 1.3×	3.6k 3.0×	1.2k 1.2×	33	7.1k
Evan Z. Macosko United States	33	1.2k 0.5×	1.0k 0.4×	10.6k 5.9×	2.0k 1.7×	1.1k 1.2×	45	16.0k
Manuel Zimmer Austria	24	378 0.2×	1.2k 0.5×	854 0.5×	1.4k 1.2×	798 0.8×	44	3.5k
Hiroki R. Ueda Japan	58	1.8k 0.8×	768 0.3×	4.5k 2.5×	2.0k 1.6×	3.5k 3.6×	212	12.6k
Mei Zhen Canada	38	302 0.1×	2.1k 0.9×	2.4k 1.3×	1.6k 1.4×	1.1k 1.1×	92	4.8k
Piali Sengupta United States	50	420 0.2×	3.5k 1.5×	3.1k 1.7×	1.7k 1.4×	2.5k 2.6×	127	7.8k
Andrew Chisholm United States	46	370 0.2×	3.4k 1.5×	3.3k 1.8×	1.8k 1.5×	1.1k 1.1×	106	6.8k

Countries citing papers authored by Hang Lu

Since Specialization

Citations

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

Fields of papers citing papers by Hang Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Lu

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

20 of 20 papers shown

Wen, Chentao, Hyun Jee Lee, Ben Dichter, et al.. (2025). Unifying community whole-brain imaging datasets enables robust neuron identification and reveals determinants of neuron position in C. elegans. Cell Reports Methods. 5(1). 100964–100964. 2 indexed citations

Lu, Hang, Songjie Wang, Boyang Liu, et al.. (2025). Genotypes of SNPs of key genes regulate susceptibility and drug sensitivity to neovascular AMD in the human population. BMJ Open Ophthalmology. 10(1). e001872–e001872. 1 indexed citations

Ding, Yang, et al.. (2025). Neuromechanical Phase Lags and Gait Adaptation in the Nematode C. elegans. 3(2).

Lu, Hang, Yuhang Sun, Qingfeng Zhang, et al.. (2024). Construction of multi-functional silicone rubber/reduced graphene oxide/multi-walled carbon nanotube composites with segregated structure by surfactant-free Pickering emulsion method. Composites Science and Technology. 259. 110950–110950. 9 indexed citations

Cao, Wen Xi, et al.. (2023). Toolkits for detailed and high-throughput interrogation of synapses in C. elegans. eLife. 12. 3 indexed citations

Lu, Hang, et al.. (2023). Tracking early tuberous sclerosis complex diseased organoid development with quantitative oblique back-illumination microscopy. 461335. 28–28. 1 indexed citations

Patel, Dhaval S, et al.. (2021). Graphical-model framework for automated annotation of cell identities in dense cellular images. eLife. 10. 15 indexed citations

Liu, Fobang, N. L. Ng, & Hang Lu. (2021). Emerging applications of microfluidic techniques for in vitro toxicity studies of atmospheric particulate matter. Aerosol Science and Technology. 55(6). 623–639. 6 indexed citations

Zhou, Fangyuan, Fang Zhang, Veronika I. Zarnitsyna, et al.. (2021). The kinetics of E-selectin- and P-selectin-induced intermediate activation of integrin αLβ2 on neutrophils. Journal of Cell Science. 134(18). 9 indexed citations

10.

McDevitt, Todd C., et al.. (2020). Microfluidic perfusion modulates growth and motor neuron differentiation of stem cell aggregates. The Analyst. 145(14). 4815–4826. 5 indexed citations

11.

Zhan, Mei, et al.. (2020). An automated platform to monitor long-term behavior and healthspan in Caenorhabditis elegans under precise environmental control. Communications Biology. 3(1). 297–297. 33 indexed citations

12.

Gallotta, Ivan, et al.. (2018). Automated screening ofC. elegansneurodegeneration mutants enabled by microfluidics and image analysis algorithms. Integrative Biology. 10(9). 539–548. 13 indexed citations

13.

Cho, Yongmin, et al.. (2018). On-chip functional neuroimaging with mechanical stimulation inCaenorhabditis eleganslarvae for studying development and neural circuits. Lab on a Chip. 18(4). 601–609. 27 indexed citations

14.

Zhou, Fangyuan, Yunfeng Chen, Eric I. Felner, Cheng Zhu, & Hang Lu. (2018). Microfluidic auto-alignment of protein patterns for dissecting multi-receptor crosstalk in platelets. Lab on a Chip. 18(19). 2966–2974. 7 indexed citations

15.

McDevitt, Todd C., et al.. (2017). A microfluidic trap array for longitudinal monitoring and multi-modal phenotypic analysis of individual stem cell aggregates. Lab on a Chip. 17(21). 3634–3642. 17 indexed citations

16.

San‐Miguel, Adriana, Peri T. Kurshan, Matthew M. Crane, et al.. (2016). Deep phenotyping unveils hidden traits and genetic relations in subtle mutants. Nature Communications. 7(1). 12990–12990. 28 indexed citations

17.

Lu, Hang, et al.. (2013). A Microfluidic Systems Biology Approach for Live Single-Cell Mitochondrial ROS Imaging. Methods in enzymology on CD-ROM/Methods in enzymology. 526. 219–230. 6 indexed citations

18.

Helman, Aharon, Bomyi Lim, María José Andreu, et al.. (2012). RTK signaling modulates the Dorsal gradient. Development. 139(16). 3032–3039. 20 indexed citations

19.

Rivet, Catherine A., et al.. (2012). Three-Dimensional In Vitro Tri-Culture Platform to Investigate Effects of Crosstalk Between Mesenchymal Stem Cells, Osteoblasts, and Adipocytes. Tissue Engineering Part A. 18(15-16). 1686–1697. 18 indexed citations

20.

Lu, Hang, et al.. (2011). Microfluidics Meets Dilute Solution Viscometry: An Undergraduate Laboratory to Determine Polymer Molecular Weight Using a Microviscometer.. Chemical Engineering Education. 45(2). 93–100. 1 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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