Honggui Wu

440 total citations
9 papers, 219 citations indexed

About

Honggui Wu is a scholar working on Molecular Biology, Virology and Cancer Research. According to data from OpenAlex, Honggui Wu has authored 9 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Virology and 2 papers in Cancer Research. Recurrent topics in Honggui Wu's work include Single-cell and spatial transcriptomics (5 papers), HIV Research and Treatment (2 papers) and Cancer Genomics and Diagnostics (2 papers). Honggui Wu is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), HIV Research and Treatment (2 papers) and Cancer Genomics and Diagnostics (2 papers). Honggui Wu collaborates with scholars based in China, United States and Sweden. Honggui Wu's co-authors include Longzhi Tan, Yinghui Zheng, Xiang Li, Dong Xing, Karl Deisseroth, Wenping Ma, X. Sunney Xie, Ritchie Chen, Jinxin Chen and Xiaoliang Sunney Xie and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Honggui Wu

9 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Honggui Wu China	6	179	45	30	22	17	9	219
Indrani Rebbapragada United States	6	559 3.1×	36 0.8×	19 0.6×	28 1.3×	15 0.9×	6	627
Nieves Lorenzo-Gotor Spain	5	389 2.2×	34 0.8×	25 0.8×	17 0.8×	11 0.6×	5	420
Silvia Jimeno-González Spain	12	476 2.7×	23 0.5×	26 0.9×	35 1.6×	13 0.8×	18	516
Chih-Chung Kuo United States	2	311 1.7×	19 0.4×	59 2.0×	18 0.8×	8 0.5×	4	339
Michael A. Boemo United Kingdom	8	171 1.0×	25 0.6×	32 1.1×	23 1.0×	5 0.3×	13	214
Oliver Pelz Germany	5	257 1.4×	22 0.5×	27 0.9×	34 1.5×	4 0.2×	6	297
Long Vo Ngoc United States	7	266 1.5×	20 0.4×	41 1.4×	27 1.2×	4 0.2×	8	311
Abdulkadir Abakir United Kingdom	8	169 0.9×	16 0.4×	42 1.4×	18 0.8×	6 0.4×	18	188
Marie-Cécile Robert France	6	450 2.5×	35 0.8×	26 0.9×	16 0.7×	5 0.3×	6	467
Houda Belaghzal United States	5	328 1.8×	30 0.7×	46 1.5×	96 4.4×	4 0.2×	6	371

Countries citing papers authored by Honggui Wu

Since Specialization

Citations

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

Fields of papers citing papers by Honggui Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honggui Wu

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

9 of 9 papers shown

Wu, Honggui, Maoxu Wang, Yinghui Zheng, & Xiaoliang Sunney Xie. (2025). Droplet-based high-throughput 3D genome structure mapping of single cells with simultaneous transcriptomics. Cell Discovery. 11(1). 8–8. 3 indexed citations

Wu, Honggui, Jiankun Zhang, Longzhi Tan, & Xiaoliang Sunney Xie. (2025). Single-cell Micro-C profiles 3D genome structures at high resolution and characterizes multi-enhancer hubs. Nature Genetics. 57(7). 1777–1786. 3 indexed citations

Chen, Jinxin, Honggui Wu, Chong Chen, et al.. (2024). scCircle-seq unveils the diversity and complexity of extrachromosomal circular DNAs in single cells. Nature Communications. 15(1). 1768–1768. 16 indexed citations

Wu, Honggui, Jiankun Zhang, Fanchong Jian, et al.. (2024). Simultaneous single-cell three-dimensional genome and gene expression profiling uncovers dynamic enhancer connectivity underlying olfactory receptor choice. Nature Methods. 21(6). 974–982. 38 indexed citations

Wu, Honggui, Xiang Li, Fanchong Jian, et al.. (2022). Highly sensitive single-cell chromatin accessibility assay and transcriptome coassay with METATAC. Proceedings of the National Academy of Sciences. 119(40). e2206450119–e2206450119. 5 indexed citations

Tan, Longzhi, Wenping Ma, Honggui Wu, et al.. (2021). Changes in genome architecture and transcriptional dynamics progress independently of sensory experience during post-natal brain development. Cell. 184(3). 741–758.e17. 108 indexed citations

Zhang, Shiping, Xiaowei Guo, Honggui Wu, et al.. (2019). Wingless modulates activator protein-1-mediated tumor invasion. Oncogene. 38(20). 3871–3885. 21 indexed citations

Narumi, Tetsuo, Chie Hashimoto, Honggui Wu, et al.. (2012). Conjugation of cell-penetrating peptides leads to identification of anti-HIV peptides from matrix proteins. Bioorganic & Medicinal Chemistry. 20(4). 1468–1474. 15 indexed citations

Urano, Emiko, Reiko Ichikawa, Masakazu Ogata, et al.. (2012). Structural Modulation Study of Inhibitory Compounds for Ribonuclease H Activity of Human Immunodeficiency Virus Type 1 Reverse Transcriptase. Chemical and Pharmaceutical Bulletin. 60(6). 764–771. 10 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.

Explore authors with similar magnitude of impact