Xiaochun Long

4.1k total citations
59 papers, 3.0k citations indexed

About

Xiaochun Long is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Xiaochun Long has authored 59 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 13 papers in Immunology and 12 papers in Cancer Research. Recurrent topics in Xiaochun Long's work include Cancer-related molecular mechanisms research (8 papers), Cell Adhesion Molecules Research (7 papers) and RNA Research and Splicing (7 papers). Xiaochun Long is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), Cell Adhesion Molecules Research (7 papers) and RNA Research and Splicing (7 papers). Xiaochun Long collaborates with scholars based in United States, China and Japan. Xiaochun Long's co-authors include Joseph M. Miano, Keigi Fujiwara, Robert D. Bell, Jeffrey W. Streb, Sarah L. Cowan, Berislav V. Zloković, Qiang Sun, Orazio J. Slivano, Qian Zhou and Christian J. Stoeckert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Xiaochun Long

56 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaochun Long United States 27 1.9k 896 450 378 315 59 3.0k
Valérie Ferreira Netherlands 22 3.4k 1.8× 1.0k 1.1× 685 1.5× 273 0.7× 493 1.6× 30 5.0k
Tata Nageswara Rao United States 19 1.8k 1.0× 798 0.9× 712 1.6× 306 0.8× 136 0.4× 32 3.6k
Sue M. Firth Australia 31 2.4k 1.3× 1.1k 1.2× 166 0.4× 584 1.5× 229 0.7× 49 4.1k
Tiziana Crepaldi Italy 28 1.5k 0.8× 264 0.3× 279 0.6× 227 0.6× 276 0.9× 70 2.9k
Antonis K. Hatzopoulos United States 40 3.5k 1.9× 575 0.6× 461 1.0× 573 1.5× 487 1.5× 84 5.1k
Walker H. Busby United States 40 2.3k 1.2× 964 1.1× 226 0.5× 550 1.5× 344 1.1× 67 4.6k
Maria Philippova Switzerland 25 1.5k 0.8× 250 0.3× 782 1.7× 190 0.5× 435 1.4× 51 2.6k
Xiao-Hong Sun United States 30 2.8k 1.5× 483 0.5× 1.3k 2.8× 169 0.4× 342 1.1× 71 5.0k
Mathias Mericskay France 32 2.6k 1.4× 270 0.3× 344 0.8× 694 1.8× 774 2.5× 65 4.3k
Richard M. Rohan United States 29 2.3k 1.2× 477 0.5× 595 1.3× 113 0.3× 381 1.2× 56 4.7k

Countries citing papers authored by Xiaochun Long

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochun Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochun Long

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

All Works

20 of 20 papers shown
1.
Martinez, Laisel, Marwan Tabbara, Simone Pereira‐Simon, et al.. (2025). The single-cell landscape of the human vein after arteriovenous fistula creation and implications for maturation failure. Kidney International. 109(1). 160–177.
2.
Pereira‐Simon, Simone, Javier Varona Santos, Xiaochun Long, et al.. (2024). Single-Cell Analyses Offer Insights into the Different Remodeling Programs of Arteries and Veins. Cells. 13(10). 793–793. 10 indexed citations
3.
Ohashi, Yuichi, Clinton D. Protack, Luis Gonzalez, et al.. (2024). Heterogeneous gene expression during early arteriovenous fistula remodeling suggests that downregulation of metabolism predicts adaptive venous remodeling. Scientific Reports. 14(1). 13287–13287. 1 indexed citations
4.
Gonzalez, Luis, Xin Li, Hualong Bai, et al.. (2024). Endothelial TGF-β Signaling Regulates Endothelial-Mesenchymal Transition During Arteriovenous Fistula Remodeling in Mice With Chronic Kidney Disease. Arteriosclerosis Thrombosis and Vascular Biology. 44(12). 2509–2526. 8 indexed citations
5.
Zhang, Wei, Li‐Hua Pan, Xiaoliang Wu, et al.. (2024). Functional characterization of human IL-8 in vascular stenosis using a novel humanized transgenic mouse model. Vascular Pharmacology. 157. 107438–107438.
6.
7.
Bryant, William B., Wei Zhang, Weiping Han, et al.. (2023). CRISPR-Cas9 Long-Read Sequencing for Mapping Transgenes in the Mouse Genome. The CRISPR Journal. 6(2). 163–175. 7 indexed citations
8.
Gao, Ping, Pan Gao, Jinjing Zhao, et al.. (2021). MKL1 cooperates with p38MAPK to promote vascular senescence, inflammation, and abdominal aortic aneurysm. Redox Biology. 41. 101903–101903. 42 indexed citations
9.
Gao, Pan, Qing Lyu, Cícera R. Lazzarotto, et al.. (2021). Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression. Genome biology. 22(1). 83–83. 71 indexed citations
10.
Choi, Mihyun, Yao Wei Lu, Jinjing Zhao, et al.. (2019). Transcriptional control of a novel long noncoding RNA Mymsl in smooth muscle cells by a single Cis-element and its initial functional characterization in vessels. Journal of Molecular and Cellular Cardiology. 138. 147–157. 12 indexed citations
11.
Lyu, Qing, Yu Han, Bing Guo, et al.. (2018). CRISPR-Cas9 Mediated Epitope Tagging Provides Accurate and Versatile Assessment of Myocardin. PMC. 1 indexed citations
12.
13.
Gao, Ping, Wen Wu, Yao Wei Lu, et al.. (2018). Transforming growth factor β1 suppresses proinflammatory gene program independent of its regulation on vascular smooth muscle differentiation and autophagy. Cellular Signalling. 50. 160–170. 17 indexed citations
14.
Long, Xiaochun & Joseph M. Miano. (2011). Transforming Growth Factor-β1 (TGF-β1) Utilizes Distinct Pathways for the Transcriptional Activation of MicroRNA 143/145 in Human Coronary Artery Smooth Muscle Cells. Journal of Biological Chemistry. 286(34). 30119–30129. 113 indexed citations
15.
Streb, Jeffrey W., Xiaochun Long, Qiang Sun, et al.. (2011). Retinoid-Induced Expression and Activity of an Immediate Early Tumor Suppressor Gene in Vascular Smooth Muscle Cells. PLoS ONE. 6(4). e18538–e18538. 13 indexed citations
16.
Imamura, Masaaki, Xiaochun Long, Vivek Nanda, & Joseph M. Miano. (2010). Expression and functional activity of four myocardin isoforms. Gene. 464(1-2). 1–10. 32 indexed citations
17.
Davis, Jody L., Xiaochun Long, Mary Georger, et al.. (2008). Expression and comparative genomics of two serum response factor genes in zebrafish. The International Journal of Developmental Biology. 52(4). 389–396. 5 indexed citations
18.
Liu, Juan, et al.. (2007). Comparison of ancient and modern Clonorchis sinensis based on ITS1 and ITS2 sequences. Acta Tropica. 101(2). 91–94. 30 indexed citations
19.
Long, Xiaochun, et al.. (2004). Detection of inducible nitric oxide synthase in Schistosoma japonicum and S. mansoni. Journal of Helminthology. 78(1). 47–50. 18 indexed citations
20.
Long, Xiaochun, et al.. (2002). Inhibition of protein phosphatase-1 is linked to phosphorylation of p53 and apoptosis. APOPTOSIS. 7(1). 31–39. 11 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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