Guangwu Guo

12.4k total citations
20 papers, 1.4k citations indexed

About

Guangwu Guo is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Guangwu Guo has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Surgery. Recurrent topics in Guangwu Guo's work include Bladder and Urothelial Cancer Treatments (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Epigenetics and DNA Methylation (3 papers). Guangwu Guo is often cited by papers focused on Bladder and Urothelial Cancer Treatments (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Epigenetics and DNA Methylation (3 papers). Guangwu Guo collaborates with scholars based in United States, China and Australia. Guangwu Guo's co-authors include Matthew Meyerson, Yong Zhang, Jun Wang, Michele Carbone, Minghui He, Chandra Goparaju, Juliann Chmielecki, Igor Dolgalev, Harvey I. Pass and Adriana Heguy and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Guangwu Guo

19 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangwu Guo United States 10 816 321 265 241 186 20 1.4k
Nanae Harashima Japan 27 752 0.9× 151 0.5× 146 0.6× 153 0.6× 561 3.0× 48 1.8k
Qing Sang China 16 475 0.6× 319 1.0× 54 0.2× 306 1.3× 206 1.1× 51 1.2k
Kadir C. Akdemir United States 13 1.1k 1.4× 103 0.3× 99 0.4× 324 1.3× 208 1.1× 22 1.5k
Yi Cao China 19 784 1.0× 353 1.1× 148 0.6× 144 0.6× 422 2.3× 47 1.6k
Shuwen Wang China 15 784 1.0× 104 0.3× 56 0.2× 148 0.6× 225 1.2× 37 1.2k
P Ménard France 17 1.8k 2.3× 285 0.9× 81 0.3× 156 0.6× 423 2.3× 38 2.1k
Yuan Xue China 19 726 0.9× 467 1.5× 62 0.2× 206 0.9× 138 0.7× 28 1.3k
Katsuhiro Hanada Japan 24 2.1k 2.6× 310 1.0× 149 0.6× 526 2.2× 430 2.3× 57 2.5k
Daniel S. Pereira Brazil 22 885 1.1× 86 0.3× 110 0.4× 166 0.7× 440 2.4× 76 1.7k
Timothy C. Hallstrom United States 20 1.2k 1.5× 116 0.4× 85 0.3× 166 0.7× 528 2.8× 28 1.6k

Countries citing papers authored by Guangwu Guo

Since Specialization
Citations

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

Fields of papers citing papers by Guangwu Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangwu Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Guangwu Guo. A scholar is included among the top collaborators of Guangwu 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 Guangwu Guo. Guangwu 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
1.
Chen, Kaili, Huixin Liang, Zeyuan Yu, et al.. (2025). Analysis of early efficacy and immune reconstitution after autologous hematopoietic stem cell transplantation in multiple myeloma. Scientific Reports. 15(1). 1222–1222.
2.
Guo, Guangwu, Han Wang, H. Y. Jia, et al.. (2025). Production and Characterization of Poly-γ-Glutamic Acid by Bacillus velezensis SDU. Microorganisms. 13(4). 917–917. 1 indexed citations
3.
Zheng, Wentao, Guangwu Guo, Yufeng Li, et al.. (2024). ReaL-MGE is a tool for enhanced multiplex genome engineering and application to malonyl-CoA anabolism. Nature Communications. 15(1). 9790–9790. 5 indexed citations
4.
Ding, Jian, Brett Schrand, Holly M. Horton, et al.. (2023). Mesothelin-targeting T cells bearing a novel T cell receptor fusion construct (TRuC) exhibit potent antitumor efficacy against solid tumors. OncoImmunology. 12(1). 2182058–2182058. 25 indexed citations
5.
Wu, Kang, et al.. (2019). CD4+ TSCMs in the Bone Marrow Assist in Maturation of Antibodies against Influenza in Mice. Mediators of Inflammation. 2019. 1–10. 4 indexed citations
6.
Imieliński, Marcin, Guangwu Guo, & Matthew Meyerson. (2017). Insertions and Deletions Target Lineage-Defining Genes in Human Cancers. Cell. 168(3). 460–472.e14. 67 indexed citations
7.
Lerner, Seth P., Gordon Robertson, Jaegil Kim, et al.. (2017). Comprehensive molecular characterization and analysis of muscle-invasive urothelial carcinomas.. Journal of Clinical Oncology. 35(15_suppl). 4500–4500. 7 indexed citations
8.
Lohr, Jens G., Sora Kim, Joshua Gould, et al.. (2016). Comprehensive Genetic Interrogation of Circulating Multiple Myeloma Cells at Single Cell Resolution. Blood. 128(22). 800–800. 5 indexed citations
9.
Lerner, Seth P., Jaegil Kim, David J. Kwiatkowski, et al.. (2016). Comprehensive characterization of 412 muscle invasive urothelial carcinomas: Final analysis of The Cancer Genome Atlas (TCGA) project.. Journal of Clinical Oncology. 34(2_suppl). 405–405. 1 indexed citations
10.
Lohr, Jens G., Sora Kim, Joshua Gould, et al.. (2016). Genetic interrogation of circulating multiple myeloma cells at single-cell resolution. Science Translational Medicine. 8(363). 363ra147–363ra147. 102 indexed citations
11.
Liu, Xiaoyan, et al.. (2015). [Killing Effect of Carpesium abrotanoides on Taenia asiatica Cysticercus].. PubMed. 33(3). 237–8. 4 indexed citations
12.
Guo, Guangwu, Juliann Chmielecki, Chandra Goparaju, et al.. (2014). Whole-Exome Sequencing Reveals Frequent Genetic Alterations in BAP1 , NF2 , CDKN2A , and CUL1 in Malignant Pleural Mesothelioma. Cancer Research. 75(2). 264–269. 229 indexed citations
13.
Nickerson, Michael L., Garrett M. Dancik, Kate M. Im, et al.. (2014). Concurrent Alterations in TERT , KDM6A , and the BRCA Pathway in Bladder Cancer. Clinical Cancer Research. 20(18). 4935–4948. 87 indexed citations
14.
Yang, Yanfang, Hainan Zhao, Roberto A. Barrero, et al.. (2014). Genome sequencing and analysis of the paclitaxel-producing endophytic fungus Penicillium aurantiogriseum NRRL 62431. BMC Genomics. 15(1). 69–69. 101 indexed citations
15.
Jia, Wenlong, Kunlong Qiu, Minghui He, et al.. (2013). SOAPfuse: an algorithm for identifying fusion transcripts from paired-end RNA-Seq data. Genome biology. 14(2). R12–R12. 131 indexed citations
16.
Liu, Daxing, Long Liu, Guangwu Guo, et al.. (2012). BOLDMirror: a global mirror system of DNA barcode data. Molecular Ecology Resources. 13(6). 991–995. 6 indexed citations
17.
Zhang, Guojie, Guangwu Guo, Xueda Hu, et al.. (2010). Deep RNA sequencing at single base-pair resolution reveals high complexity of the rice transcriptome. Genome Research. 20(5). 646–654. 409 indexed citations
18.
Wang, Bin, Guangwu Guo, Chao Wang, et al.. (2010). Survey of the transcriptome of Aspergillus oryzae via massively parallel mRNA sequencing. Nucleic Acids Research. 38(15). 5075–5087. 166 indexed citations
19.
Feng, Lin, Hang Liu, Yu Liu, et al.. (2010). Power of Deep Sequencing and Agilent Microarray for Gene Expression Profiling Study. Molecular Biotechnology. 45(2). 101–110. 35 indexed citations
20.
Sheehan, Kevin, et al.. (1998). A comparative study on the efficacy of CD8-positive cells in enhancing allogeneic bone marrow engraftment: cell sorting vs microbead selection. Bone Marrow Transplantation. 22(5). 477–484. 1 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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