Changlong Guo

1.6k total citations · 1 hit paper
31 papers, 1.1k citations indexed

About

Changlong Guo is a scholar working on Molecular Biology, Immunology and Rheumatology. According to data from OpenAlex, Changlong Guo has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Rheumatology. Recurrent topics in Changlong Guo's work include Pregnancy and preeclampsia studies (4 papers), Reproductive System and Pregnancy (4 papers) and Pluripotent Stem Cells Research (4 papers). Changlong Guo is often cited by papers focused on Pregnancy and preeclampsia studies (4 papers), Reproductive System and Pregnancy (4 papers) and Pluripotent Stem Cells Research (4 papers). Changlong Guo collaborates with scholars based in China, United States and Japan. Changlong Guo's co-authors include Qi Zhou, Xiaoyang Zhao, Liu Wang, Lei Liu, Tang Hai, Zhuo Lv, Wei Li, Fanyi Zeng, Jie Hao and Man Tong and has published in prestigious journals such as Nature, Annals of the Rheumatic Diseases and The Journal of Pediatrics.

In The Last Decade

Changlong Guo

31 papers receiving 1.1k citations

Hit Papers

iPS cells produce viable mice through tetraploid compleme... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changlong Guo China 12 791 163 131 108 96 31 1.1k
A. D. Crockard United Kingdom 15 234 0.3× 47 0.3× 117 0.9× 45 0.4× 27 0.3× 48 927
Kit Man Tsang United States 10 424 0.5× 58 0.4× 152 1.2× 60 0.6× 17 0.2× 15 732
Thomas A. Imahiyerobo United States 12 365 0.5× 266 1.6× 219 1.7× 66 0.6× 23 0.2× 47 910
Ashley Goss United States 12 731 0.9× 90 0.6× 382 2.9× 68 0.6× 17 0.2× 18 1.2k
Xiao Fang China 15 466 0.6× 66 0.4× 32 0.2× 27 0.3× 13 0.1× 30 794
Aaron Winters United States 9 555 0.7× 113 0.7× 65 0.5× 69 0.6× 11 0.1× 16 1.2k
Nurbek Mambetsariev United States 12 220 0.3× 25 0.2× 96 0.7× 42 0.4× 25 0.3× 21 618
Shijie Yang China 18 224 0.3× 38 0.2× 152 1.2× 78 0.7× 13 0.1× 75 824
Adrian Shifren United States 14 95 0.1× 153 0.9× 112 0.9× 268 2.5× 31 0.3× 24 747
Caroline Métais United States 13 308 0.4× 34 0.2× 165 1.3× 115 1.1× 31 0.3× 17 749

Countries citing papers authored by Changlong Guo

Since Specialization
Citations

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

Fields of papers citing papers by Changlong Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changlong Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Changlong Guo. A scholar is included among the top collaborators of Changlong Guo 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 Changlong Guo. Changlong Guo 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
2.
Chen, Yuqi, et al.. (2023). A defined serum‐free culture system for human long‐term haematopoietic stem cells. British Journal of Haematology. 204(1). 268–282. 1 indexed citations
3.
Han, Feifei, et al.. (2021). Genome-Wide Association Identifies Risk Pathways for SAPHO Syndrome. Frontiers in Cell and Developmental Biology. 9. 643644–643644. 6 indexed citations
4.
Han, Feifei, et al.. (2020). Profiling of the pattern of the human TRB/IGH–CDR3 repertoire in primary biliary cholangitis patients. International Immunopharmacology. 83. 106393–106393. 2 indexed citations
5.
Guo, Changlong, et al.. (2020). De novo genome assembly of a Han Chinese male and genome-wide detection of structural variants using Oxford Nanopore sequencing. Molecular Genetics and Genomics. 295(4). 871–876. 5 indexed citations
6.
Guo, Changlong, et al.. (2019). Copy Number Variation of Multiple Genes in SAPHO Syndrome. The Journal of Rheumatology. 47(9). 1323–1329. 9 indexed citations
7.
Guo, Changlong, Qidi Wang, Yuting Wang, et al.. (2017). Exome sequencing reveals novel IRXI mutation in congenital heart disease. Molecular Medicine Reports. 15(5). 3193–3197. 11 indexed citations
8.
Wang, Qidi, Lin Li, Xin Liu, et al.. (2016). High throughput sequencing reveals the diversity of TRB-CDR3 repertoire in patients with psoriasis vulgaris. International Immunopharmacology. 40. 487–491. 14 indexed citations
9.
Li, Nan, Junfen Ma, Kai Li, Changlong Guo, & Liang Ming. (2016). Different Contributions of CDKAL 1, KIF21B , and LRRK2/MUC19 Polymorphisms to SAPHO Syndrome, Rheumatoid Arthritis, Ankylosing Spondylitis, and Seronegative Spondyloarthropathy. Genetic Testing and Molecular Biomarkers. 21(2). 122–126. 12 indexed citations
10.
Wang, Yuting, Qidi Wang, Changlong Guo, et al.. (2015). Decreased mRNA and protein expression of TWIST1 in myocardial tissue of fetuses with ventricular septal defects. Molecular Medicine Reports. 12(2). 3089–3094. 1 indexed citations
11.
Guo, Changlong, Xiaofang Cao, Qidi Wang, et al.. (2015). Contribution of TIMP3 polymorphisms to the development of preeclampsia in Han Chinese women. Journal of Assisted Reproduction and Genetics. 32(10). 1525–1530. 3 indexed citations
12.
Wang, Yuting, Qidi Wang, Changlong Guo, et al.. (2014). Association Between CRP Gene Polymorphisms and the Risk of Preeclampsia in Han Chinese Women. Genetic Testing and Molecular Biomarkers. 18(11). 775–780. 7 indexed citations
13.
Han, Feifei, Changlong Guo, & Lihong Liu. (2013). The Effect of CHEK2 Variant I157T on Cancer Susceptibility: Evidence from a Meta-Analysis. DNA and Cell Biology. 32(6). 329–335. 63 indexed citations
14.
Han, Feifei, et al.. (2013). Effects of the NQO1 609C>T Polymorphism on Leukemia Susceptibility: Evidence from a Meta-analysis. Asian Pacific Journal of Cancer Prevention. 14(9). 5311–5316. 8 indexed citations
15.
Guo, Changlong, et al.. (2012). A novel variant of Oct3/4 gene in mouse embryonic stem cells. Stem Cell Research. 9(2). 69–76. 16 indexed citations
16.
Guo, Changlong, Feifei Han, Heyao Wang, & Liu Wang. (2012). Meta-analysis of the association between hOGG1 Ser326Cys polymorphism and risk of colorectal cancer based on case–control studies. Journal of Cancer Research and Clinical Oncology. 138(9). 1443–1448. 12 indexed citations
17.
Ma, Yan, Min Wu, Dan Li, et al.. (2012). Embryonic developmental toxicity of selenite in zebrafish (Danio rerio) and prevention with folic acid. Food and Chemical Toxicology. 50(8). 2854–2863. 37 indexed citations
18.
Sheng, Chao, Qinyuan Zheng, Jianyu Wu, et al.. (2011). Direct reprogramming of Sertoli cells into multipotent neural stem cells by defined factors. Cell Research. 22(1). 208–218. 120 indexed citations
19.
Bai, Jing, Changlong Guo, Wenjing Sun, et al.. (2011). DJ-1 may contribute to metastasis of non-small cell lung cancer. Molecular Biology Reports. 39(3). 2697–2703. 36 indexed citations
20.
Zhao, Xiaoyang, Wei Li, Zhuo Lv, et al.. (2009). iPS cells produce viable mice through tetraploid complementation. Nature. 461(7260). 86–90. 555 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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