Qianxu Guo

438 total citations
9 papers, 323 citations indexed

About

Qianxu Guo is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Qianxu Guo has authored 9 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Hematology and 3 papers in Genetics. Recurrent topics in Qianxu Guo's work include Acute Myeloid Leukemia Research (3 papers), Fibroblast Growth Factor Research (2 papers) and Epigenetics and DNA Methylation (2 papers). Qianxu Guo is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), Fibroblast Growth Factor Research (2 papers) and Epigenetics and DNA Methylation (2 papers). Qianxu Guo collaborates with scholars based in United States, Italy and Canada. Qianxu Guo's co-authors include Claudio Sandoval, Somasundaram Jayabose, Changhong Yin, Sharon R. Pine, Charlotte M. Druschel, Erica L. Clinkenbeard, Alexei Kharitonenkov, David B. Burr, Carol L. Broderick and Taryn A. Cass and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Cancer Research.

In The Last Decade

Qianxu Guo

9 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qianxu Guo United States	7	117	112	105	101	68	9	323
Sonja Skoupy Austria	10	141 1.2×	88 0.8×	54 0.5×	15 0.1×	21 0.3×	12	368
Makiko Nakayama Japan	9	75 0.6×	214 1.9×	340 3.2×	63 0.6×	26 0.4×	17	515
Ioannis Panagiotidis Greece	10	242 2.1×	255 2.3×	48 0.5×	9 0.1×	20 0.3×	22	392
Stephen R. Zeldenrust United States	10	302 2.6×	417 3.7×	76 0.7×	24 0.2×	11 0.2×	16	573
Melissa Northcott Australia	9	30 0.3×	51 0.5×	26 0.2×	21 0.2×	7 0.1×	13	457
Hayri Özsan Türkiye	8	118 1.0×	86 0.8×	27 0.3×	9 0.1×	13 0.2×	21	308
Ole Maywald Germany	7	142 1.2×	32 0.3×	13 0.1×	12 0.1×	21 0.3×	11	209
Clemens Leitgeb Austria	8	548 4.7×	121 1.1×	34 0.3×	15 0.1×	12 0.2×	13	639
Yuya Hashimura Japan	9	99 0.8×	165 1.5×	211 2.0×	64 0.6×	2 0.0×	18	429
Michaela Neprašová Czechia	9	56 0.5×	45 0.4×	247 2.4×	8 0.1×	9 0.1×	16	309

Countries citing papers authored by Qianxu Guo

Since Specialization

Citations

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

Fields of papers citing papers by Qianxu Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qianxu Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Qianxu Guo. A scholar is included among the top collaborators of Qianxu 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 Qianxu Guo. Qianxu 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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9 of 9 papers shown

Sagar, Divya, Kevin C. Lindquist, Qianxu Guo, et al.. (2024). Abstract 1872: A next generation treatment for Nectin-4 positive cancers - Preclinical characterization of LY4052031, an anti-Nectin-4 antibody, conjugated to a novel camptothecin payload. Cancer Research. 84(6_Supplement). 1872–1872. 2 indexed citations

Lowery, Caitlin D., Wayne Blosser, Michele Dowless, et al.. (2017). Olaratumab Exerts Antitumor Activity in Preclinical Models of Pediatric Bone and Soft Tissue Tumors through Inhibition of Platelet-Derived Growth Factor Receptor α. Clinical Cancer Research. 24(4). 847–857. 26 indexed citations

Yin, Yongjun, Craig S. Smith, Qianxu Guo, et al.. (2016). Inhibition of fibroblast growth factor receptor 3-dependent lung adenocarcinoma with a human monoclonal antibody. Disease Models & Mechanisms. 9(5). 563–571. 15 indexed citations

O’Bryan, Linda M., Emily Farrow, Lelia J. Summers, et al.. (2012). Circulating αKlotho influences phosphate handling by controlling FGF23 production. Journal of Clinical Investigation. 122(12). 4710–4715. 113 indexed citations

Kim, Byung Hak, Changhong Yin, Qianxu Guo, et al.. (2008). A small-molecule compound identified through a cell-based screening inhibits JAK/STAT pathway signaling in human cancer cells. Molecular Cancer Therapeutics. 7(9). 2672–2680. 33 indexed citations

Pine, Sharon R., Qianxu Guo, Changhong Yin, et al.. (2007). Incidence and clinical implications of GATA1 mutations in newborns with Down syndrome. Blood. 110(6). 2128–2131. 96 indexed citations

Sandoval, Claudio, Sharon R. Pine, Charlotte M. Druschel, et al.. (2006). GATA1 Mutations in Newborns with Down Syndrome.. Blood. 108(11). 641–641. 1 indexed citations

Pine, Sharon R., Qianxu Guo, Changhong Yin, et al.. (2005). GATA1 as a new target to detect minimal residual disease in both transient leukemia and megakaryoblastic leukemia of Down syndrome. Leukemia Research. 29(11). 1353–1356. 19 indexed citations

Sandoval, Claudio, Sharon R. Pine, Qianxu Guo, et al.. (2004). Tetrasomy 21 transient leukemia with aGATA1 mutation in a phenotypically normal trisomy 21 mosaic infant: Case report and review of the literature. Pediatric Blood & Cancer. 44(1). 85–91. 18 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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