Xiaoyang Ling

4.6k total citations · 2 hit papers
35 papers, 2.4k citations indexed

About

Xiaoyang Ling is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Xiaoyang Ling has authored 35 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 10 papers in Molecular Biology and 9 papers in Hematology. Recurrent topics in Xiaoyang Ling's work include Acute Myeloid Leukemia Research (7 papers), CAR-T cell therapy research (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Xiaoyang Ling is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), CAR-T cell therapy research (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Xiaoyang Ling collaborates with scholars based in United States, China and Austria. Xiaoyang Ling's co-authors include Ralph B. Arlinghaus, Michael Andreeff, Marina Konopleva, Amy B. Heimberger, Jun Wei, Gregory N. Fuller, Shouhao Zhou, Konrad Gabrusiewicz, Ling-Yuan Kong and Zhihong Zeng and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Blood.

In The Last Decade

Xiaoyang Ling

33 papers receiving 2.4k citations

Hit Papers

PD-L1 expression and prognostic impact in glioblastoma 2015 2026 2018 2022 2015 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. PD-L1 expression and prognostic impact in glioblastoma
    2015 457 citations Edjah K. Nduom, Jun Wei et al. Neuro-Oncology profile →
  2. Osteopontin mediates glioblastoma-associated macrophage infiltration and is a potential therapeutic target
    2018 287 citations Jun Wei, Anantha Marisetty et al. Journal of Clinical Investigation profile →

Peers

Xiaoyang Ling
Amy Axel United States
Antonina V. Kurtova United States
Gabriel Ghiaur United States
Elena Levantini United States
Hélène Lapillonne France
Evan N. Cohen United States
Jana Krošl Canada
Roberta Riccioni Italy
Rui-Yu Wang United States
Keita Kirito Japan
Amy Axel United States
Xiaoyang Ling
Citations per year, relative to Xiaoyang Ling Xiaoyang Ling (= 1×) peers Amy Axel

Countries citing papers authored by Xiaoyang Ling

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyang Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyang Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyang Ling. A scholar is included among the top collaborators of Xiaoyang Ling 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 Xiaoyang Ling. Xiaoyang Ling 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.
2.
Ling, Xiaoyang, Yongsheng Yan, Zhonghua Zhu, et al.. (2024). Detector upgrade for 222Rn concentration in high purity nitrogen measurement. Journal of Instrumentation. 19(10). P10004–P10004.
3.
Rao, Ganesh, Khatri Latha, Martina Ott, et al.. (2020). Anti–PD-1 Induces M1 Polarization in the Glioma Microenvironment and Exerts Therapeutic Efficacy in the Absence of CD8 Cytotoxic T Cells. Clinical Cancer Research. 26(17). 4699–4712. 80 indexed citations
4.
Wei, Jun, Anantha Marisetty, Brett Schrand, et al.. (2018). Osteopontin mediates glioblastoma-associated macrophage infiltration and is a potential therapeutic target. Journal of Clinical Investigation. 129(1). 137–149. 287 indexed citations breakdown →
5.
Ling, Xiaoyang, et al.. (2017). A review of pituitary abscess: our experience with surgical resection and nursing care. Translational Cancer Research. 6(4). 852–859. 1 indexed citations
6.
Yaghi, Nasser K., Jun Wei, Yuuri Hashimoto, et al.. (2016). Immune modulatory nanoparticle therapeutics for intracerebral glioma. Neuro-Oncology. 19(3). now198–now198. 33 indexed citations
7.
Wei, Jun, Edjah K. Nduom, Ling-Yuan Kong, et al.. (2015). MiR-138 exerts anti-glioma efficacy by targeting immune checkpoints. Neuro-Oncology. 18(5). 639–648. 164 indexed citations
8.
Nduom, Edjah K., Jun Wei, Nasser K. Yaghi, et al.. (2015). PD-L1 expression and prognostic impact in glioblastoma. Neuro-Oncology. 18(2). 195–205. 457 indexed citations breakdown →
9.
Kong, Ling-Yuan, Jun Wei, Ali S. Haider, et al.. (2014). Therapeutic targets in subependymoma. Journal of Neuroimmunology. 277(1-2). 168–175. 15 indexed citations
10.
Ling, Xiaoyang, Erika L. Spaeth, Ye Chen, et al.. (2013). The CXCR4 Antagonist AMD3465 Regulates Oncogenic Signaling and Invasiveness In Vitro and Prevents Breast Cancer Growth and Metastasis In Vivo. PLoS ONE. 8(3). e58426–e58426. 69 indexed citations
11.
Mak, Duncan H., Yue Shi, John M. Fidler, et al.. (2011). MRx102, a triptolide derivative, has potent antileukemic activity in vitro and in a murine model of AML. Leukemia. 26(3). 443–450. 34 indexed citations
12.
Tsao, Twee, Steven M. Kornblau, Stephen Safe, et al.. (2010). Role of Peroxisome Proliferator-Activated Receptor-γ and Its Coactivator DRIP205 in Cellular Responses to CDDO (RTA-401) in Acute Myelogenous Leukemia. Cancer Research. 70(12). 4949–4960. 39 indexed citations
13.
Ling, Xiaoyang, Frank C. Marini, Marina Konopleva, et al.. (2010). Mesenchymal Stem Cells Overexpressing IFN-β Inhibit Breast Cancer Growth and Metastases through Stat3 Signaling in a Syngeneic Tumor Model. Cancer Microenvironment. 3(1). 83–95. 91 indexed citations
14.
Zeng, Zhihong, Yue Shi, Ismael Samudio, et al.. (2008). Targeting the leukemia microenvironment by CXCR4 inhibition overcomes resistance to kinase inhibitors and chemotherapy in AML. Blood. 113(24). 6215–6224. 397 indexed citations
15.
Zhang, Weiguo, Marina Konopleva, Yue-Xi Shi, et al.. (2008). Mutant FLT3: A Direct Target of Sorafenib in Acute Myelogenous Leukemia. JNCI Journal of the National Cancer Institute. 100(3). 184–198. 277 indexed citations
16.
Tabe, Yoko, Marina Konopleva, Yutaka Kondo, et al.. (2007). PPARgamma-Active triterpenoid CDDO enhances ATRA-induced differentiation in APL. Cancer Biology & Therapy. 6(12). 1967–1977. 31 indexed citations
17.
Konopleva, Marina, Rooha Contractor, Peter P. Ruvolo, et al.. (2006). Mechanism of apoptosis induction by chemical inhibitors of bcl-2 in acute leukemia cells. Cancer Research. 66. 1142–1143. 2 indexed citations
18.
19.
Lin, Hui, Giuseppe Monaco, Tong Sun, et al.. (2005). Bcr-Abl-mediated suppression of normal hematopoiesis in leukemia. Oncogene. 24(20). 1–11. 43 indexed citations
20.
Ling, Xiaoyang, et al.. (2003). Bcr and Abl interaction: oncogenic activation of c-Abl by sequestering Bcr.. PubMed. 63(2). 298–303. 15 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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