Haiying Xu

23.8k total citations · 3 hit papers
49 papers, 8.1k citations indexed

About

Haiying Xu is a scholar working on Oncology, Immunology and Surgery. According to data from OpenAlex, Haiying Xu has authored 49 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 27 papers in Immunology and 9 papers in Surgery. Recurrent topics in Haiying Xu's work include Immunotherapy and Immune Responses (22 papers), Cancer Immunotherapy and Biomarkers (22 papers) and CAR-T cell therapy research (11 papers). Haiying Xu is often cited by papers focused on Immunotherapy and Immune Responses (22 papers), Cancer Immunotherapy and Biomarkers (22 papers) and CAR-T cell therapy research (11 papers). Haiying Xu collaborates with scholars based in United States, China and Australia. Haiying Xu's co-authors include Janis M. Taube, Lieping Chen, Robert A. Anders, Drew M. Pardoll, Suzanne L. Topalian, Julie R. Brahmer, Jung Ho Kim, Alison Klein, Xiaoyu Pan and Rajni Sharma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Haiying Xu

49 papers receiving 8.0k citations

Hit Papers

Association of PD-1, PD-1 Ligands, and Other Features of ... 2012 2026 2016 2021 2014 2012 2015 500 1000 1.5k

Peers

Haiying Xu
Diva R. Salomão United States
Shin Foong Ngiow United States
Jennifer H. Yearley United States
William H. Sharfman United States
Michael A. Curran United States
Scott E. Strome United States
Haiying Xu
Citations per year, relative to Haiying Xu Haiying Xu (= 1×) peers Yoshiko Iwai

Countries citing papers authored by Haiying Xu

Since Specialization
Citations

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

Fields of papers citing papers by Haiying Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiying Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiying Xu. A scholar is included among the top collaborators of Haiying Xu 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 Haiying Xu. Haiying Xu 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.
Green, Benjamin, Margaret Eminizer, Steve Lu, et al.. (2023). Whole-Slide Imaging, Mutual Information Registration for Multiplex Immunohistochemistry and Immunofluorescence. Laboratory Investigation. 103(8). 100175–100175. 4 indexed citations
2.
Xu, Haiying, Jason T. Machan, Mark W. Clemens, et al.. (2023). CD30 Lateral Flow and Enzyme-Linked Immunosorbent Assays for Detection of BIA-ALCL: A Pilot Study. Cancers. 15(21). 5128–5128. 1 indexed citations
3.
Giraldo, Nicolás A., Sneha Berry, Étienne Becht, et al.. (2021). Spatial UMAP and Image Cytometry for Topographic Immuno-oncology Biomarker Discovery. Cancer Immunology Research. 9(11). 1262–1269. 6 indexed citations
4.
Cottrell, Tricia R., Christopher D. Gocke, Haiying Xu, et al.. (2018). PD-L1 expression in inflammatory myofibroblastic tumors. Modern Pathology. 31(7). 1155–1163. 16 indexed citations
5.
Sunshine, Joel, Peter Nguyen, Genevieve J. Kaunitz, et al.. (2017). PD-L1 Expression in Melanoma: A Quantitative Immunohistochemical Antibody Comparison. Clinical Cancer Research. 23(16). 4938–4944. 109 indexed citations
6.
Lipson, Evan J., Mohammed Lilo, Aleksandra Ogurtsova, et al.. (2017). Basal cell carcinoma: PD-L1/PD-1 checkpoint expression and tumor regression after PD-1 blockade. Journal for ImmunoTherapy of Cancer. 5(1). 23–23. 115 indexed citations
7.
Thompson, Elizabeth D., Janis M. Taube, Aleksandra Ogurtsova, et al.. (2017). PD-L1 expression and the immune microenvironment in primary invasive lobular carcinomas of the breast. Modern Pathology. 30(11). 1551–1560. 36 indexed citations
8.
Kaunitz, Genevieve J., Tricia R. Cottrell, Mohammed Lilo, et al.. (2017). Melanoma subtypes demonstrate distinct PD-L1 expression profiles. Laboratory Investigation. 97(9). 1063–1071. 157 indexed citations
9.
Ascierto, Maria Libera, Tracee L. McMiller, Alan E. Berger, et al.. (2016). The Intratumoral Balance between Metabolic and Immunologic Gene Expression Is Associated with Anti–PD-1 Response in Patients with Renal Cell Carcinoma. Cancer Immunology Research. 4(9). 726–733. 133 indexed citations
10.
Kadin, Marshall E., Anand K. Deva, Haiying Xu, et al.. (2016). Biomarkers Provide Clues to Early Events in the Pathogenesis of Breast Implant-Associated Anaplastic Large Cell Lymphoma. Aesthetic Surgery Journal. 36(7). 773–781. 115 indexed citations
11.
Lastwika, Kristin J., Willie Wilson, Qing Kay Li, et al.. (2015). Control of PD-L1 Expression by Oncogenic Activation of the AKT–mTOR Pathway in Non–Small Cell Lung Cancer. Cancer Research. 76(2). 227–238. 643 indexed citations breakdown →
12.
Taube, Janis M., Geoffrey D. Young, Tracee L. McMiller, et al.. (2015). Differential Expression of Immune-Regulatory Genes Associated with PD-L1 Display in Melanoma: Implications for PD-1 Pathway Blockade. Clinical Cancer Research. 21(17). 3969–3976. 196 indexed citations
13.
Luo, Liqun, Gefeng Zhu, Haiying Xu, et al.. (2015). B7-H3 Promotes Pathogenesis of Autoimmune Disease and Inflammation by Regulating the Activity of Different T Cell Subsets. PLoS ONE. 10(6). e0130126–e0130126. 96 indexed citations
14.
Rodić, Nemanja, Robert A. Anders, James R. Eshleman, et al.. (2014). PD-L1 Expression in Melanocytic Lesions Does Not Correlate with the BRAF V600E Mutation. Cancer Immunology Research. 3(2). 110–115. 42 indexed citations
15.
Taube, Janis M., Alison Klein, Julie R. Brahmer, et al.. (2014). Association of PD-1, PD-1 Ligands, and Other Features of the Tumor Immune Microenvironment with Response to Anti–PD-1 Therapy. Clinical Cancer Research. 20(19). 5064–5074. 1873 indexed citations breakdown →
16.
Mathios, Dimitrios, Jacob Ruzevick, Christopher M. Jackson, et al.. (2014). PD-1, PD-L1, PD-L2 expression in the chordoma microenvironment. Journal of Neuro-Oncology. 121(2). 251–259. 60 indexed citations
17.
Yao, Sheng, Yuwen Zhu, Gefeng Zhu, et al.. (2011). B7-H2 Is a Costimulatory Ligand for CD28 in Human. Immunity. 34(5). 729–740. 118 indexed citations
18.
Azuma, Takeshi, Gefeng Zhu, Haiying Xu, et al.. (2009). Potential Role of Decoy B7-H4 in the Pathogenesis of Rheumatoid Arthritis: A Mouse Model Informed by Clinical Data. PLoS Medicine. 6(10). e1000166–e1000166. 59 indexed citations
19.
Omiya, Ryusuke, Fumihiko Tsushima, Hidehiko Narazaki, et al.. (2009). Leucocyte‐associated immunoglobulin‐like receptor‐1 is an inhibitory regulator of contact hypersensitivity. Immunology. 128(4). 543–555. 16 indexed citations
20.
Zhu, Gefeng, Mathew M. Augustine, Takeshi Azuma, et al.. (2008). B7-H4–deficient mice display augmented neutrophil-mediated innate immunity. Blood. 113(8). 1759–1767. 68 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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