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

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

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Analysis of early efficacy and immune reconstitution after autologous hematopoietic stem cell transplantation in multiple myeloma	Scientific Reports	Kaili Chen, Huixin Liang et al.	0
2	Production and Characterization of Poly-γ-Glutamic Acid by Bacillus velezensis SDU	Microorganisms	Guangwu Guo, Han Wang et al.	1
3	ReaL-MGE is a tool for enhanced multiplex genome engineering and application to malonyl-CoA anabolism	Nature Communications	Wentao Zheng, Guangwu Guo et al.	5
4	Mesothelin-targeting T cells bearing a novel T cell receptor fusion construct (TRuC) exhibit potent antitumor efficacy against solid tumors	OncoImmunology	Jian Ding, Brett Schrand et al.	25
5	CD4⁺ TSCMs in the Bone Marrow Assist in Maturation of Antibodies against Influenza in Mice	Mediators of Inflammation	Kang Wu, Fei Wang et al.	4
6	Insertions and Deletions Target Lineage-Defining Genes in Human Cancers	Cell	Marcin Imieliński, Guangwu Guo et al.	67
7	Comprehensive molecular characterization and analysis of muscle-invasive urothelial carcinomas.	Journal of Clinical Oncology	Seth P. Lerner, Gordon Robertson et al.	7
8	Comprehensive Genetic Interrogation of Circulating Multiple Myeloma Cells at Single Cell Resolution	Blood	Jens G. Lohr, Sora Kim et al.	5
9	Comprehensive characterization of 412 muscle invasive urothelial carcinomas: Final analysis of The Cancer Genome Atlas (TCGA) project.	Journal of Clinical Oncology	Seth P. Lerner, Jaegil Kim et al.	1
10	Genetic interrogation of circulating multiple myeloma cells at single-cell resolution	Science Translational Medicine	Jens G. Lohr, Sora Kim et al.	102
11	[Killing Effect of Carpesium abrotanoides on Taenia asiatica Cysticercus].	PubMed	Xiaoyan Liu, Guangwu Guo et al.	4
12	Whole-Exome Sequencing Reveals Frequent Genetic Alterations in BAP1 , NF2 , CDKN2A , and CUL1 in Malignant Pleural Mesothelioma	Cancer Research	Guangwu Guo, Juliann Chmielecki et al.	229
13	Concurrent Alterations in TERT , KDM6A , and the BRCA Pathway in Bladder Cancer	Clinical Cancer Research	Michael L. Nickerson, Garrett M. Dancik et al.	87
14	Genome sequencing and analysis of the paclitaxel-producing endophytic fungus Penicillium aurantiogriseum NRRL 62431	BMC Genomics	Yanfang Yang, Hainan Zhao et al.	101
15	SOAPfuse: an algorithm for identifying fusion transcripts from paired-end RNA-Seq data	Genome biology	Wenlong Jia, Kunlong Qiu et al.	131
16	BOLDMirror: a global mirror system of DNA barcode data	Molecular Ecology Resources	Daxing Liu, Long Liu et al.	6
17	Deep RNA sequencing at single base-pair resolution reveals high complexity of the rice transcriptome	Genome Research	Guojie Zhang, Guangwu Guo et al.	409
18	Survey of the transcriptome of Aspergillus oryzae via massively parallel mRNA sequencing	Nucleic Acids Research	Bin Wang, Guangwu Guo et al.	166
19	Power of Deep Sequencing and Agilent Microarray for Gene Expression Profiling Study	Molecular Biotechnology	Lin Feng, Hang Liu et al.	35
20	A comparative study on the efficacy of CD8-positive cells in enhancing allogeneic bone marrow engraftment: cell sorting vs microbead selection	Bone Marrow Transplantation	Kevin Sheehan, Guangwu Guo et al.	1

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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