Chenglong Xia

2.9k total citations · 1 hit paper
14 papers, 1.4k citations indexed

About

Chenglong Xia is a scholar working on Molecular Biology, Biophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Chenglong Xia has authored 14 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Biophysics and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Chenglong Xia's work include Advanced Fluorescence Microscopy Techniques (5 papers), Single-cell and spatial transcriptomics (4 papers) and Lipid Membrane Structure and Behavior (3 papers). Chenglong Xia is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (5 papers), Single-cell and spatial transcriptomics (4 papers) and Lipid Membrane Structure and Behavior (3 papers). Chenglong Xia collaborates with scholars based in United States and China. Chenglong Xia's co-authors include Xiaowei Zhuang, Jean Fan, George Emanuel, Junjie Hao, Hazen P. Babcock, Ruobo Zhou, Boran Han, Guo‐Qiang Bi, Xun Wang and Cheng Xu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Chenglong Xia

13 papers receiving 1.4k citations

Hit Papers

Spatial transcriptome profiling by MERFISH reveals subcel... 2019 2026 2021 2023 2019 100 200 300 400
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.

  1. Spatial transcriptome profiling by MERFISH reveals subcellular RNA compartmentalization and cell cycle-dependent gene expression
    2019 436 citations Chenglong Xia, Jean Fan et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenglong Xia United States 10 956 477 183 154 137 14 1.4k
Rui Yan China 18 772 0.8× 351 0.7× 247 1.3× 174 1.1× 101 0.7× 49 1.4k
Nela Durisic Australia 15 798 0.8× 280 0.6× 109 0.6× 130 0.8× 124 0.9× 26 1.2k
Horst Wallrabe United States 18 1.1k 1.1× 734 1.5× 229 1.3× 313 2.0× 48 0.4× 35 1.7k
Anna Szymborska Germany 11 1.0k 1.1× 311 0.7× 141 0.8× 341 2.2× 168 1.2× 13 1.5k
Arnauld Sergé France 17 839 0.9× 277 0.6× 108 0.6× 198 1.3× 50 0.4× 33 1.4k
Johanna Bückers Germany 13 807 0.8× 392 0.8× 211 1.2× 470 3.1× 167 1.2× 17 1.5k
Ekaterina A. Souslova Russia 14 824 0.9× 628 1.3× 154 0.8× 132 0.9× 67 0.5× 17 1.3k
Eric Wait United States 14 856 0.9× 351 0.7× 151 0.8× 306 2.0× 30 0.2× 24 1.4k
Douglas H. Roossien United States 9 539 0.6× 286 0.6× 96 0.5× 175 1.1× 119 0.9× 15 954
Alexa L. Mattheyses United States 26 1.4k 1.4× 485 1.0× 427 2.3× 680 4.4× 115 0.8× 62 2.5k

Countries citing papers authored by Chenglong Xia

Since Specialization
Citations

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

Fields of papers citing papers by Chenglong Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglong Xia

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

All Works

14 of 14 papers shown
1.
Xia, Chenglong, et al.. (2025). Single-molecule live-cell RNA imaging with CRISPR–Csm. Nature Biotechnology. 43(12). 2023–2030. 14 indexed citations
2.
Yang, Tingting, Chenglong Xia, Huidan Deng, et al.. (2025). Effects of Copper on Steroid Hormone Secretion, Steroidogenic Enzyme Expression, and Transcriptomic Profiles in Yak Ovarian Granulosa Cells. Veterinary Sciences. 12(5). 428–428. 2 indexed citations
3.
Xia, Chenglong, Jianping Wu, Qian Yu, et al.. (2025). Altitude-Linked Distribution Patterns of Serum and Hair Mineral Elements in Healthy Yak Calves from Ganzi Prefecture. Veterinary Sciences. 12(8). 718–718.
4.
Yang, Tingting, Yanqiu Zhu, Chenglong Xia, et al.. (2024). Effects of Trace Elements and Vitamins on the Synthesis of Steroid Hormones in Follicular Granulosa Cells of Yak. Veterinary Sciences. 11(12). 619–619. 3 indexed citations
5.
Guo, Hongrui, Chenglong Xia, Yanqiu Zhu, et al.. (2024). Copper Promotes LPS-Induced Inflammation via the NF-кB Pathway in Bovine Macrophages. Biological Trace Element Research. 202(12). 5479–5488. 6 indexed citations
6.
Fang, Rongxin, Chenglong Xia, Jennie Close, et al.. (2022). Conservation and divergence of cortical cell organization in human and mouse revealed by MERFISH. Science. 377(6601). 56–62. 136 indexed citations
7.
Zhou, Ruobo, Boran Han, Roberta B. Nowak, et al.. (2022). Proteomic and functional analyses of the periodic membrane skeleton in neurons. Nature Communications. 13(1). 3196–3196. 25 indexed citations
8.
Zhou, Ruobo, Boran Han, Chenglong Xia, & Xiaowei Zhuang. (2019). Membrane-associated periodic skeleton is a signaling platform for RTK transactivation in neurons. Science. 365(6456). 929–934. 88 indexed citations
9.
Xia, Chenglong, Hazen P. Babcock, Jeffrey R. Moffitt, & Xiaowei Zhuang. (2019). Multiplexed detection of RNA using MERFISH and branched DNA amplification. Scientific Reports. 9(1). 7721–7721. 103 indexed citations
10.
Xia, Chenglong, Jean Fan, George Emanuel, Junjie Hao, & Xiaowei Zhuang. (2019). Spatial transcriptome profiling by MERFISH reveals subcellular RNA compartmentalization and cell cycle-dependent gene expression. Proceedings of the National Academy of Sciences. 116(39). 19490–19499. 436 indexed citations breakdown →
11.
Chan, Chung Yu, Anthony M. Pedley, Doory Kim, et al.. (2018). Microtubule-directed transport of purine metabolons drives their cytosolic transit to mitochondria. Proceedings of the National Academy of Sciences. 115(51). 13009–13014. 60 indexed citations
12.
Han, Boran, Ruobo Zhou, Chenglong Xia, & Xiaowei Zhuang. (2017). Structural organization of the actin-spectrin–based membrane skeleton in dendrites and soma of neurons. Proceedings of the National Academy of Sciences. 114(32). E6678–E6685. 97 indexed citations
13.
Tao, Chang-Lu, et al.. (2012). Ultrastructural analysis of neuronal synapses using state-of-the-art nano-imaging techniques. Neuroscience Bulletin. 28(4). 321–332. 12 indexed citations
14.
Shim, Sang‐Hee, Chenglong Xia, Guisheng Zhong, et al.. (2012). Super-resolution fluorescence imaging of organelles in live cells with photoswitchable membrane probes. Proceedings of the National Academy of Sciences. 109(35). 13978–13983. 416 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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