Guangdun Peng

4.8k total citations · 2 hit papers
66 papers, 2.2k citations indexed

About

Guangdun Peng is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Guangdun Peng has authored 66 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 7 papers in Cell Biology and 7 papers in Biophysics. Recurrent topics in Guangdun Peng's work include Pluripotent Stem Cells Research (23 papers), Single-cell and spatial transcriptomics (22 papers) and Congenital heart defects research (10 papers). Guangdun Peng is often cited by papers focused on Pluripotent Stem Cells Research (23 papers), Single-cell and spatial transcriptomics (22 papers) and Congenital heart defects research (10 papers). Guangdun Peng collaborates with scholars based in China, Australia and Hong Kong. Guangdun Peng's co-authors include Naihe Jing, Patrick Tam, Jing‐Dong J. Han, Jae‐Hyung Lee, Xinshu Xiao, Shengbao Suo, Guizhong Cui, Jae Hoon Bahn, Gang Li and Jun Chen and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Guangdun Peng

66 papers receiving 2.2k 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.

Systematic comparison of sequencing-based spatial transcriptomic methods

2024 63 citations Yue You, Zhongmin Zhang et al. Nature Methods profile →
Unveiling inflammatory and prehypertrophic cell populations as key contributors to knee cartilage degeneration in osteoarthritis using multi-omics data integration

2024 58 citations Guangdun Peng et al. profile →

Peers

Guangdun Peng

MB

CR

IMMUN

GENET

CB

Annalena Moliner Sweden

Stéphane C. Boutet United States

Kevin Huang United States

María Victoria Gómez‐Gaviro Spain

Fengping Xu China

Lijin Dong United States

Brian S. Clark United States

Yarui Diao United States

Aibin He China

Marisa Karow Germany

Annalena Moliner Sweden

Guangdun Peng

1.3k ×0.7

MB

347 ×0.9

CR

200 ×1.2

IMMUN

109 ×0.8

GENET

49 ×0.4

CB

Citations per year, relative to Guangdun Peng Guangdun Peng (= 1×) peers Annalena Moliner

Countries citing papers authored by Guangdun Peng

Since Specialization

Citations

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

Fields of papers citing papers by Guangdun Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangdun Peng

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

1.

Li, Wenjia, Jian Xu, An Gong, et al.. (2025). Spatiotemporal transcriptome atlas of developing mouse lung. Science Bulletin. 70(10). 1641–1658. 1 indexed citations

2.

Xu, Jian, Jia Liu, Yumeng Yang, et al.. (2025). High-resolution mapping of single cells in spatial context. Nature Communications. 16(1). 6533–6533. 3 indexed citations

3.

Zhang, Guangyu, Wenting Pan, Xizhao Chen, et al.. (2025). Dissecting the Spatial and Single‐Cell Transcriptomic Architecture of Cancer Stem Cell Niche Driving Tumor Progression in Gastric Cancer. Advanced Science. 12(18). e2413019–e2413019. 10 indexed citations

4.

Wang, Zeqing, Guizhong Cui, Yiyao Liang, et al.. (2024). A spatiotemporal molecular atlas of mouse spinal cord injury identifies a distinct astrocyte subpopulation and therapeutic potential of IGFBP2. Developmental Cell. 59(20). 2787–2803.e8. 5 indexed citations

5.

You, Yue, Zhongmin Zhang, Shihong Lu, et al.. (2024). Systematic comparison of sequencing-based spatial transcriptomic methods. Nature Methods. 21(9). 1743–1754. 63 indexed citations breakdown →

6.

Peng, Guangdun, et al.. (2024). Surface-Functionalizing Strategies for Multiplexed Molecular Biosensing: Developments Powered by Advancements in Nanotechnologies. Nanomaterials. 14(24). 2014–2014. 5 indexed citations

7.

Qu, Fangfang, Wenjia Li, Jian Xu, et al.. (2023). Three-dimensional molecular architecture of mouse organogenesis. Nature Communications. 14(1). 4599–4599. 11 indexed citations

8.

Wang, Ran, Xianfa Yang, Jiehui Chen, et al.. (2023). Time space and single-cell resolved tissue lineage trajectories and laterality of body plan at gastrulation. Nature Communications. 14(1). 5675–5675. 11 indexed citations

9.

Yu, Qing, Yujie Chen, Guangdun Peng, et al.. (2022). Activation of Wnt/β-catenin signaling by Zeb1 in endothelial progenitors induces vascular quiescence entry. Cell Reports. 41(8). 111694–111694. 10 indexed citations

10.

Peng, Guangdun, et al.. (2022). Spatial transcriptomics: new dimension of understanding biological complexity. Biophysics Reports. 8(3). 119–135. 11 indexed citations

11.

Cui, Guizhong, Su Feng, Yaping Yan, et al.. (2022). Spatial molecular anatomy of germ layers in the gastrulating cynomolgus monkey embryo. Cell Reports. 40(9). 111285–111285. 13 indexed citations

12.

Peng, Guangdun, Shengbao Suo, Jun Chen, et al.. (2020). Spatial Transcriptome for the Molecular Annotation of Lineage Fates and Cell Identity in Mid-gastrula Mouse Embryo. Developmental Cell. 55(6). 802–804. 11 indexed citations

13.

Xu, Jun, Michael Alexanian, Gaia Andreoletti, et al.. (2020). Conserved Epigenetic Regulatory Logic Infers Genes Governing Cell Identity. Cell Systems. 11(6). 625–639.e13. 24 indexed citations

14.

Yu, Wei, Xueyan Ma, Jinjin Xu, et al.. (2019). VGLL4 plays a critical role in heart valve development and homeostasis. PLoS Genetics. 15(2). e1007977–e1007977. 45 indexed citations

15.

Peng, Guangdun, Shengbao Suo, Guizhong Cui, et al.. (2019). Molecular architecture of lineage allocation and tissue organization in early mouse embryo. Nature. 572(7770). 528–532. 158 indexed citations

16.

Liu, Chang, Ran Wang, Zhisong He, et al.. (2018). Suppressing Nodal Signaling Activity Predisposes Ectodermal Differentiation of Epiblast Stem Cells. Stem Cell Reports. 11(1). 43–57. 17 indexed citations

17.

Chen, Jun, Shengbao Suo, Patrick Tam, et al.. (2017). Spatial transcriptomic analysis of cryosectioned tissue samples with Geo-seq. Nature Protocols. 12(3). 566–580. 246 indexed citations

18.

Peng, Guangdun, Shengbao Suo, Jun Chen, et al.. (2016). Spatial Transcriptome for the Molecular Annotation of Lineage Fates and Cell Identity in Mid-gastrula Mouse Embryo. Developmental Cell. 36(6). 681–697. 166 indexed citations

19.

Song, Lu, Na Sun, Guangdun Peng, et al.. (2015). Genome-wide ChIP-seq and RNA-seq analyses of Pou3f1 during mouse pluripotent stem cell neural fate commitment. Genomics Data. 5. 375–377. 7 indexed citations

20.

Bahn, Jae Hoon, et al.. (2011). Accurate identification of A-to-I RNA editing in human by transcriptome sequencing. Genome Research. 22(1). 142–150. 279 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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