Haiying Xu
- Oncology top 0.2%
- Immunology top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Molecular Biology top 10%
- Cancer Research top 2%
- Co-authors
- Janis M. TaubeLieping ChenRobert A. AndersDrew M. PardollSuzanne L. TopalianJulie R. BrahmerJung Ho KimAlison Klein
- Topics
- Immunotherapy and Immune Responses (22 papers)Cancer Immunotherapy and Biomarkers (22 papers)CAR-T cell therapy research (11 papers)
- Cited by
- OncologyImmunologyCancer Research
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Clinical Oncology
- 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
- Pulmonary and Respiratory Medicine 1.5k
- Molecular Biology 1.2k
- Cancer Research 786
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 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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 16 | |
| 5 | 109 | |
| 6 | 115 | |
| 7 | 36 | |
| 8 | 157 | |
| 9 | 133 | |
| 10 | 115 | |
| 11 | Control of PD-L1 Expression by Oncogenic Activation of the AKT–mTOR Pathway in Non–Small Cell Lung Cancerbreakdown → | 643 |
| 12 | 196 | |
| 13 | 96 | |
| 14 | 42 | |
| 15 | Association of PD-1, PD-1 Ligands, and Other Features of the Tumor Immune Microenvironment with Response to Anti–PD-1 Therapybreakdown → | 1873 |
| 16 | 60 | |
| 17 | 118 | |
| 18 | 59 | |
| 19 | 16 | |
| 20 | 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) and CAR-T cell therapy research (11 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.
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.