Xiaoying Hu

3.2k total citations · 3 hit papers
42 papers, 2.1k citations indexed

About

Xiaoying Hu is a scholar working on Immunology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xiaoying Hu has authored 42 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 9 papers in Surgery and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Xiaoying Hu's work include Immune Cell Function and Interaction (7 papers), Immune cells in cancer (7 papers) and Coronary Interventions and Diagnostics (5 papers). Xiaoying Hu is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Immune cells in cancer (7 papers) and Coronary Interventions and Diagnostics (5 papers). Xiaoying Hu collaborates with scholars based in China, Germany and United States. Xiaoying Hu's co-authors include Jochen Utikal, Peter Altevogt, Rebekka Weber, Christopher Groth, Viktor Fleming, Viktor Umansky, Vasyl S. Nagibin, Viktor Umansky, Hong Qiu and Laura Hüser and has published in prestigious journals such as Journal of the American College of Cardiology, Cancer Research and Scientific Reports.

In The Last Decade

Xiaoying Hu

39 papers receiving 2.1k citations

Hit Papers

Immunosuppression mediated by myeloid-derived suppressor ... 2018 2026 2020 2023 2018 2018 2018 200 400 600

Peers

Xiaoying Hu
Xiaoying Hu
Citations per year, relative to Xiaoying Hu Xiaoying Hu (= 1×) peers Cédric Menard

Countries citing papers authored by Xiaoying Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoying Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoying Hu. A scholar is included among the top collaborators of Xiaoying Hu 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 Xiaoying Hu. Xiaoying Hu 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.
Hu, Xiaoying, Jiaxin Wang, Xuan Ma, et al.. (2025). Incremental value of multiparametric cardiac magnetic resonance imaging for non-invasive identification of significant acute cardiac allograft rejection: a prospective and biopsy-proven study. European Heart Journal - Cardiovascular Imaging. 26(5). 886–894. 1 indexed citations
2.
Zhang, Lin, Sipeng Chen, Shanshan Zheng, et al.. (2025). Risk factor analysis and outcomes of heart transplant recipients infected by COVID-19. Frontiers in Immunology. 16. 1597333–1597333.
3.
Hu, Xiaoying, et al.. (2024). Association of individual and combined exposures of 10 metals with periodontitis: Results from a large population‐based study. Journal of Periodontal Research. 59(4). 669–678. 3 indexed citations
4.
Hu, Xiaoying, Weixian Yang, Changdong Guan, et al.. (2024). The prognostic value of collateral circulation in coronary chronic total occlusion underwent percutaneous coronary intervention. Journal of Geriatric Cardiology. 21(2). 232–241. 1 indexed citations
5.
Wang, Guoqin, Xiaoying Hu, Xiaoyi Xu, et al.. (2024). Analysis of Clinicopathological Characteristics of Malignancy Patients with Membranous Nephropathy and Literature Review. Cancer Management and Research. Volume 16. 677–689. 1 indexed citations
6.
Hu, Xiaoying, Guoqin Wang, & Hong Cheng. (2024). Specific antigens in malignancy-associated membranous nephropathy. Frontiers in Medicine. 11. 1368457–1368457. 3 indexed citations
7.
Arkhypov, Ihor, Feyza Gül Özbay Kurt, Daniel Novak, et al.. (2022). HSP90α induces immunosuppressive myeloid cells in melanoma via TLR4 signaling. Journal for ImmunoTherapy of Cancer. 10(9). e005551–e005551. 32 indexed citations
8.
Yuan, Ying, Hong Qiu, Xiaoying Hu, et al.. (2022). A risk score model of contrast-induced acute kidney injury in patients with emergency percutaneous coronary interventions. Frontiers in Cardiovascular Medicine. 9. 989243–989243. 3 indexed citations
9.
Zheng, Jianfeng, Ziwei Xi, Jianan Li, et al.. (2022). Long-term safety and absorption assessment of a novel bioresorbable nitrided iron scaffold in porcine coronary artery. Bioactive Materials. 17. 496–505. 34 indexed citations
10.
Fleming, Viktor, Xiaoying Hu, Rebekka Weber, et al.. (2019). Melanoma Extracellular Vesicles Generate Immunosuppressive Myeloid Cells by Upregulating PD-L1 via TLR4 Signaling. Cancer Research. 79(18). 4715–4728. 110 indexed citations
11.
Ge, Yingzi, Anchana Rathinasamy, Xiaoying Hu, et al.. (2019). Tumor-Specific Regulatory T Cells from the Bone Marrow Orchestrate Antitumor Immunity in Breast Cancer. Cancer Immunology Research. 7(12). 1998–2012. 22 indexed citations
12.
Zheng, Jianfeng, Hong Qiu, Xiaoying Hu, et al.. (2019). Preclinical Evaluation of a Novel Sirolimus-Eluting Iron Bioresorbable Coronary Scaffold in Porcine Coronary Artery at 6 Months. JACC: Cardiovascular Interventions. 12(3). 245–255. 40 indexed citations
13.
Fleming, Viktor, Xiaoying Hu, Rebekka Weber, et al.. (2018). Targeting Myeloid-Derived Suppressor Cells to Bypass Tumor-Induced Immunosuppression. Frontiers in Immunology. 9. 398–398. 355 indexed citations breakdown →
14.
Umansky, Viktor, Gosse J. Adema, Jarosław Baran, et al.. (2018). Interactions among myeloid regulatory cells in cancer. Cancer Immunology Immunotherapy. 68(4). 645–660. 42 indexed citations
15.
Groth, Christopher, Xiaoying Hu, Rebekka Weber, et al.. (2018). Immunosuppression mediated by myeloid-derived suppressor cells (MDSCs) during tumour progression. British Journal of Cancer. 120(1). 16–25. 614 indexed citations breakdown →
16.
Jia, Nan, et al.. (2017). [Clinical features and prognostic analysis of neuromyelitisoptica spectrum disease with sjogrensyndrome].. PubMed. 97(11). 827–832. 2 indexed citations
17.
Yuan, Ying, Hong Qiu, Xiaoying Hu, et al.. (2017). Risk Factors of Contrast-induced Acute Kidney Injury in Patients Undergoing Emergency Percutaneous Coronary Intervention. Chinese Medical Journal. 130(1). 45–50. 25 indexed citations
18.
Umansky, Viktor, C Blattner, Viktor Fleming, et al.. (2016). Myeloid-derived suppressor cells and tumor escape from immune surveillance. Seminars in Immunopathology. 39(3). 295–305. 64 indexed citations
19.
Wu, Chao, Xiaoying Hu, Hong Qiu, et al.. (2012). TCT-571 A Preliminary Study of Biodegradable Iron Stent in Mini-Swine Coronary Artery. Journal of the American College of Cardiology. 60(17). B166–B166. 5 indexed citations
20.
Bailey, Stephen, et al.. (2007). Tradeoffs between oxygen and energy in tibial growth at high altitude. American Journal of Human Biology. 19(5). 662–668. 33 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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