Yan Xiu

1.8k total citations
22 papers, 1.4k citations indexed

About

Yan Xiu is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yan Xiu has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Immunology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yan Xiu's work include Monoclonal and Polyclonal Antibodies Research (7 papers), NF-κB Signaling Pathways (7 papers) and T-cell and B-cell Immunology (6 papers). Yan Xiu is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), NF-κB Signaling Pathways (7 papers) and T-cell and B-cell Immunology (6 papers). Yan Xiu collaborates with scholars based in United States, Japan and China. Yan Xiu's co-authors include Brendan F. Boyce, Lianping Xing, Zhenqiang Yao, Thomas F. Tedder, Yasuhito Hamaguchi, Jinbo Li, Kazuhiro Komura, Falk Nimmerjahn, Mareki Ohtsuji and Yoshikazu Morita and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Yan Xiu

21 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
Yan Xiu United States 16 679 674 447 306 183 22 1.4k
Thomas D. Arnold United States 20 661 1.0× 295 0.4× 69 0.2× 256 0.8× 112 0.6× 30 2.0k
Caroline G. Humphries United States 13 1.2k 1.7× 318 0.5× 224 0.5× 148 0.5× 126 0.7× 17 1.7k
Irene Gutiérrez‐Cañas Spain 24 374 0.6× 394 0.6× 63 0.1× 337 1.1× 117 0.6× 39 1.3k
C L Lane United States 13 442 0.7× 585 0.9× 149 0.3× 97 0.3× 148 0.8× 19 1.4k
Carla M. Cuda United States 25 583 0.9× 899 1.3× 87 0.2× 164 0.5× 62 0.3× 49 1.6k
Mohammed Al‐Owain Saudi Arabia 25 1.1k 1.6× 356 0.5× 98 0.2× 96 0.3× 145 0.8× 87 2.0k
Jason Gibson United States 14 467 0.7× 141 0.2× 81 0.2× 118 0.4× 92 0.5× 22 1.1k
Christopher Harp United States 18 380 0.6× 900 1.3× 130 0.3× 184 0.6× 90 0.5× 32 1.8k
Peter J. Darlington Canada 18 447 0.7× 753 1.1× 71 0.2× 215 0.7× 70 0.4× 35 1.6k
C D Stiles United States 11 769 1.1× 316 0.5× 44 0.1× 251 0.8× 140 0.8× 17 1.5k

Countries citing papers authored by Yan Xiu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Xiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Xiu

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Xiu. A scholar is included among the top collaborators of Yan Xiu 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 Yan Xiu. Yan Xiu 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.
Dong, Qianze, Shashirekha Shetty, Yang Wang, et al.. (2024). Philadelphia chromosome-positive T-cell acute lymphoblastic leukemia: a case report. Journal of International Medical Research. 52(2).
2.
Dong, Qianze, Yan Xiu, Yang Wang, et al.. (2022). HSF1 is a driver of leukemia stem cell self-renewal in acute myeloid leukemia. Nature Communications. 13(1). 6107–6107. 21 indexed citations
3.
Zhao, Jinming, Yan Xiu, Lin Fu, et al.. (2021). TIFAB accelerates MLL-AF9−Induced acute myeloid leukemia through upregulation of HOXA9. iScience. 24(12). 103425–103425. 3 indexed citations
4.
Dong, Qianze, Yan Xiu, Aaron Bossler, et al.. (2020). CLL dedifferentiation to clonally related myeloid cells. Blood Advances. 4(24). 6169–6174. 1 indexed citations
5.
Li, Jinbo, Yan Xiu, James O. Sanders, et al.. (2019). TGFβ-induced degradation of TRAF3 in mesenchymal progenitor cells causes age-related osteoporosis. Nature Communications. 10(1). 2795–2795. 70 indexed citations
6.
Xiu, Yan, Qianze Dong, Qingchang Li, et al.. (2018). Stabilization of NF-κB-Inducing Kinase Suppresses MLL-AF9-Induced Acute Myeloid Leukemia. Cell Reports. 22(2). 350–358. 32 indexed citations
7.
8.
Zhao, Chen, Yan Xiu, John M. Ashton, et al.. (2012). Noncanonical NF-κB Signaling Regulates Hematopoietic Stem Cell Self-Renewal and Microenvironment Interactions. Stem Cells. 30(4). 709–718. 61 indexed citations
9.
Zhao, Chen, Yan Xiu, John M. Ashton, et al.. (2011). Non-Canonical NF-Kb Signaling Regulates Hematopoietic Stem Cell Self-Renewal and Microenvironment Interactions. Blood. 118(21). 859–859. 1 indexed citations
10.
Minard-Colin, Véronique, Yan Xiu, Jonathan C. Poe, et al.. (2008). Lymphoma depletion during CD20 immunotherapy in mice is mediated by macrophage FcγRI, FcγRIII, and FcγRIV. Blood. 112(4). 1205–1213. 161 indexed citations
11.
Nakamura, Kazuhiro, Hirokazu Hirai, Takashi Torashima, et al.. (2007). CD3 and Immunoglobulin G Fc Receptor Regulate Cerebellar Functions. Molecular and Cellular Biology. 27(14). 5128–5134. 39 indexed citations
12.
Nakamura, Kazuhiro, Keiko Sawabe, Akiko Ohashi, et al.. (2006). Late Developmental Stage-Specific Role of Tryptophan Hydroxylase 1 in Brain Serotonin Levels. Journal of Neuroscience. 26(2). 530–534. 102 indexed citations
13.
Hamaguchi, Yasuhito, Yan Xiu, Kazuhiro Komura, Falk Nimmerjahn, & Thomas F. Tedder. (2006). Antibody isotype-specific engagement of Fcγ receptors regulates B lymphocyte depletion during CD20 immunotherapy. The Journal of Experimental Medicine. 203(3). 743–753. 191 indexed citations
14.
Nakamura, Kazuhiro, Yoshimasa Koyama, Kazumi Takahashi, et al.. (2006). Requirement of Tryptophan Hydroxylase During Development for Maturation of Sensorimotor Gating. Journal of Molecular Biology. 363(2). 345–354. 11 indexed citations
15.
Xiu, Yan, Yi Jiang, Hiromichi Tsurui, et al.. (2006). Genetic Dissection of the Effects of Stimulatory and Inhibitory IgG Fc Receptors on Murine Lupus. The Journal of Immunology. 177(3). 1646–1654. 22 indexed citations
16.
Tedder, Thomas F., Aris Baras, & Yan Xiu. (2006). Fcγ receptor-dependent effector mechanisms regulate CD19 and CD20 antibody immunotherapies for B lymphocyte malignancies and autoimmunity. Springer Seminars in Immunopathology. 28(4). 351–364. 46 indexed citations
17.
Wen, Xiangshu, Danqing Zhang, Yuji Kikuchi, et al.. (2004). Transgene‐mediated hyper‐expression of IL‐5 inhibits autoimmune disease but increases the risk of B cell chronic lymphocytic leukemia in a model of murine lupus. European Journal of Immunology. 34(10). 2740–2749. 26 indexed citations
18.
Xiu, Yan, Kazuhiro Nakamura, Masaaki Abe, et al.. (2002). Transcriptional Regulation of Fcgr2b Gene by Polymorphic Promoter Region and Its Contribution to Humoral Immune Responses. The Journal of Immunology. 169(8). 4340–4346. 95 indexed citations
19.
20.
Jiang, Yi, Masaaki Abe, Reiko Sanokawa‐Akakura, et al.. (2000). Polymorphisms in IgG Fc receptor IIB regulatory regions associated with autoimmune susceptibility. Immunogenetics. 51(6). 429–435. 133 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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