Hongkui Zeng

54.6k total citations · 9 hit papers
128 papers, 16.6k citations indexed

About

Hongkui Zeng is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Hongkui Zeng has authored 128 papers receiving a total of 16.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Cellular and Molecular Neuroscience, 55 papers in Molecular Biology and 53 papers in Cognitive Neuroscience. Recurrent topics in Hongkui Zeng's work include Neural dynamics and brain function (42 papers), Neuroscience and Neuropharmacology Research (28 papers) and Single-cell and spatial transcriptomics (24 papers). Hongkui Zeng is often cited by papers focused on Neural dynamics and brain function (42 papers), Neuroscience and Neuropharmacology Research (28 papers) and Single-cell and spatial transcriptomics (24 papers). Hongkui Zeng collaborates with scholars based in United States, United Kingdom and China. Hongkui Zeng's co-authors include Linda Madisen, Ed S. Lein, Seung Wook Oh, Michael Hawrylycz, Lydia Ng, Susan M. Sunkin, Hatim A. Zariwala, Hong Gu, Allan R. Jones and Richard D. Palmiter and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Hongkui Zeng

124 papers receiving 16.4k citations

Hit Papers

align trajectories sort by overperformance

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.

A robust and high-throughput Cre reporting and characterization system for the whole mouse brain

2009 4.8k citations Lydia Ng, Michael Hawrylycz et al. Nature Neuroscience profile →
The G protein-coupled receptor repertoires of human and mouse

2003 584 citations Hongkui Zeng et al. Proceedings of the National Academy of Sciences profile →
Differential Control of Learning and Anxiety along the Dorsoventral Axis of the Dentate Gyrus

2013 529 citations Mazen A. Kheirbek, Liam Drew et al. Neuron profile →
Neuronal cell-type classification: challenges, opportunities and the path forward

2017 506 citations Hongkui Zeng et al. profile →
A light-entrainment mechanism for the Drosophila circadian clock

1996 390 citations Hongkui Zeng et al. Nature profile →
Genetic Identification of Vagal Sensory Neurons That Control Feeding

2019 329 citations Hongkui Zeng et al. profile →
Spatially resolved cell atlas of the mouse primary motor cortex by MERFISH

2021 235 citations Zizhen Yao, Hongkui Zeng et al. Nature profile →
What is a cell type and how to define it?

2022 176 citations Hongkui Zeng profile →
Molecularly defined and spatially resolved cell atlas of the whole mouse brain

2023 148 citations Bosiljka Tasic, Zizhen Yao et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hongkui Zeng United States	58	6.9k	6.6k	4.5k	2.2k	1.6k	128	16.6k
Viviana Gradinaru United States	54	8.3k 1.2×	7.7k 1.2×	4.3k 1.0×	1.1k 0.5×	1.9k 1.2×	112	20.0k
Charu Ramakrishnan United States	56	10.9k 1.6×	5.3k 0.8×	7.8k 1.7×	1.6k 0.7×	971 0.6×	100	18.1k
Z. Josh Huang United States	61	11.7k 1.7×	5.3k 0.8×	8.6k 1.9×	1.1k 0.5×	1.6k 1.0×	115	17.1k
Charles R. Gerfen United States	57	14.2k 2.0×	6.6k 1.0×	6.2k 1.4×	1.5k 0.7×	1.0k 0.6×	116	19.9k
Loren L. Looger United States	62	10.8k 1.6×	8.9k 1.3×	5.3k 1.2×	1.1k 0.5×	1.3k 0.8×	141	21.0k
Edward M. Callaway United States	71	10.3k 1.5×	4.5k 0.7×	10.1k 2.3×	1.1k 0.5×	957 0.6×	155	17.3k
Edward S. Boyden United States	70	12.9k 1.9×	6.6k 1.0×	7.4k 1.7×	1.2k 0.6×	1.9k 1.2×	230	23.3k
Guoping Feng United States	79	12.2k 1.8×	9.0k 1.4×	7.5k 1.7×	807 0.4×	1.9k 1.2×	190	23.0k
Bernardo L. Sabatini United States	81	14.5k 2.1×	10.1k 1.5×	6.2k 1.4×	899 0.4×	2.1k 1.3×	174	24.3k
Yuchio Yanagawa Japan	64	8.3k 1.2×	5.0k 0.8×	4.3k 1.0×	1.4k 0.6×	1.3k 0.8×	321	14.6k

Countries citing papers authored by Hongkui Zeng

Since Specialization

Citations

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

Fields of papers citing papers by Hongkui Zeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongkui Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Hongkui Zeng. A scholar is included among the top collaborators of Hongkui Zeng 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 Hongkui Zeng. Hongkui Zeng 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

Kwon, O‐Sung, et al.. (2025). Transcriptional determinants of goal-directed learning and representational drift in the parahippocampal cortex. Cell Reports. 44(1). 115175–115175.

Liu, Lijuan, Zhixi Yun, Hanbo Chen, et al.. (2025). Connectivity of single neurons classifies cell subtypes in mouse brains. Nature Methods. 22(4). 861–873. 1 indexed citations

Lüscher, Christian, Valentina Emiliani, Nita A. Farahany, et al.. (2025). Roadmap for direct and indirect translation of optogenetics into discoveries and therapies for humans. Nature Neuroscience. 28(12). 2415–2431.

Jin, Lei, Heather A. Sullivan, Thomas K. Lavin, et al.. (2024). Long-term labeling and imaging of synaptically connected neuronal networks in vivo using double-deletion-mutant rabies viruses. Nature Neuroscience. 27(2). 373–383. 2 indexed citations

Trouvé, Alain, Laurent Younès, Michael Kunst, et al.. (2024). Cross-modality mapping using image varifolds to align tissue-scale atlases to molecular-scale measures with application to 2D brain sections. Nature Communications. 15(1). 3530–3530. 3 indexed citations

Chen, Chong, Jesse K. Niehaus, S. Andrew Shuster, et al.. (2024). Neural circuit basis of placebo pain relief. Nature. 632(8027). 1092–1100. 25 indexed citations

Bianconi, Ginestra, Edward T. Bullmore, Mark Burgess, et al.. (2023). Neuroscience Needs Network Science. Journal of Neuroscience. 43(34). 5989–5995. 38 indexed citations

Xu, Jian, Andrew Jo, J. Marshall, et al.. (2022). Intersectional mapping of multi-transmitter neurons and other cell types in the brain. Cell Reports. 40(1). 111036–111036. 17 indexed citations

Yao, Yuanyuan, Zeke Barger, Mohammad Saffari Doost, et al.. (2022). Cardiovascular baroreflex circuit moonlights in sleep control. Neuron. 110(23). 3986–3999.e6. 33 indexed citations

10.

Bistrong, Karina, Shenqin Yao, Zizhen Yao, et al.. (2022). Dense functional and molecular readout of a circuit hub in sensory cortex. Science. 375(6576). eabl5981–eabl5981. 35 indexed citations

11.

Ypsilanti, Athéna R., Kartik Pattabiraman, Rinaldo Catta-Preta, et al.. (2021). Transcriptional network orchestrating regional patterning of cortical progenitors. Proceedings of the National Academy of Sciences. 118(51). 27 indexed citations

12.

Scala, Federico, Dmitry Kobak, Matteo Bernabucci, et al.. (2020). Phenotypic variation of transcriptomic cell types in mouse motor cortex. Nature. 598(7879). 144–150. 173 indexed citations

13.

Daigle, Tanya L., et al.. (2020). Projection-specific Activity of Layer 2/3 Neurons Imaged in Mouse Primary Somatosensory Barrel Cortex During a Whisker Detection Task. Function. 1(1). zqaa008–zqaa008. 8 indexed citations

14.

Miller, Jeremy A., Nathan W. Gouwens, Bosiljka Tasic, et al.. (2020). Common cell type nomenclature for the mammalian brain. eLife. 9. 38 indexed citations

15.

Lo, Liching, Shenqin Yao, Dongwook Kim, et al.. (2019). Connectional architecture of a mouse hypothalamic circuit node controlling social behavior. Proceedings of the National Academy of Sciences. 116(15). 7503–7512. 93 indexed citations

16.

Smith, Stephen J, Uygar Sümbül, Lucas T. Graybuck, et al.. (2019). Single-cell transcriptomic evidence for dense intracortical neuropeptide networks. eLife. 8. 90 indexed citations

17.

Knox, Joseph E., Kameron Decker Harris, Nile Graddis, et al.. (2018). High-resolution data-driven model of the mouse connectome. Network Neuroscience. 3(1). 217–236. 58 indexed citations

18.

Teeter, Corinne, Ramakrishnan Iyer, Vilas Menon, et al.. (2018). Generalized leaky integrate-and-fire models classify multiple neuron types. Nature Communications. 9(1). 709–709. 129 indexed citations

19.

Du, Ming, Robert Hill, Maximilian Joesch, et al.. (2018). Flexible Learning-Free Segmentation and Reconstruction of Neural Volumes. Scientific Reports. 8(1). 14247–14247. 10 indexed citations

20.

Kheirbek, Mazen A., Liam Drew, Nesha S. Burghardt, et al.. (2013). Differential Control of Learning and Anxiety along the Dorsoventral Axis of the Dentate Gyrus. Neuron. 77(5). 955–968. 529 indexed citations breakdown →

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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