Haiying Xu
- Oncology top 0.2%
- Cancer Immunotherapy and Biomarkers 22
- CAR-T cell therapy research 11
- Immunology top 0.5%
- Immunotherapy and Immune Responses 22
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 4
- Cancer Research top 2%
- Breast Cancer Treatment Studies 4
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- Breast Implant and Reconstruction 7
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- Single-cell and spatial transcriptomics 3
- Co-authors
- Janis M. TaubeLieping ChenRobert A. AndersDrew M. PardollSuzanne L. TopalianJulie R. BrahmerJung Ho KimAlison Klein
- Cited by
- OncologyImmunologyCancer Research
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Haiying Xu
49 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Oncology 6.3k
- Immunology 4.0k
- Cancer Research 786
- Pulmonary and Respiratory Medicine 1.5k
- Pathology and Forensic Medicine 620
Countries citing papers authored by Haiying Xu
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
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
The 25 scholars most cited alongside Haiying Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 6 | |
| 4 | 2018 | 16 | |
| 5 | 2017 | 109 | |
| 6 | 2017 | 115 | |
| 7 | 2017 | 36 | |
| 8 | 2017 | 157 | |
| 9 | 2016 | 133 | |
| 10 | 2016 | 115 | |
| 11 | Control of PD-L1 Expression by Oncogenic Activation of the AKT–mTOR Pathway in Non–Small Cell Lung Cancerbreakdown → | 2015 | 643 |
| 12 | 2015 | 196 | |
| 13 | 2015 | 96 | |
| 14 | 2014 | 42 | |
| 15 | Association of PD-1, PD-1 Ligands, and Other Features of the Tumor Immune Microenvironment with Response to Anti–PD-1 Therapybreakdown → | 2014 | 1873 |
| 16 | 2014 | 60 | |
| 17 | 2011 | 118 | |
| 18 | 2009 | 59 | |
| 19 | 2009 | 16 | |
| 20 | 2008 | 68 |
About Haiying Xu
Haiying Xu is a scholar working on Immunology, Oncology and Dermatology, having authored 49 papers that have together received 8.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (22 papers), Cancer Immunotherapy and Biomarkers (22 papers), CAR-T cell therapy research (11 papers), Immune Cell Function and Interaction (9 papers), Breast Implant and Reconstruction (7 papers), Breast Cancer Treatment Studies (4 papers), T-cell and B-cell Immunology (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Oncology (6.3k citations), Immunology (4.0k citations) and Cancer Research (786 citations). Haiying Xu has collaborated with scholars based in United States, China and Australia. Frequent 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.
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.