Haiying Xu

23.8k citations
49 papers · 8.1k indexed · 3 hit papers · h-index 32

Haiying Xu

49 papers receiving 8.0k citations

Hit Papers

Control of PD-L1 Expression by Oncogenic Activation of th...643201220262016202150010001.5k

Peers

Haiying Xu
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
Replace Yoshiko Iwai with:
Yoshiko Iwai Japan
Scott E. Strome United States
Anne Costes France
Matthieu Camus France
Shin Foong Ngiow United States
Jennifer H. Yearley United States
Michael A. Curran United States
Hideto Tamura Japan
Richard E. Royal United States
William H. Sharfman United States
Haiying Xu relative to Yoshiko Iwai Japan Yoshiko Iwai's profile →
Citations per field
00.5×1.5×
Yoshiko Iwai · 1×
Citations per year

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

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.

Border = papers with Haiying Xu Line = papers co-authored together Haiying Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20234
2 20231
3 20216
4 201816
5 2017109
6 2017115
7 201736
8 2017157
9 2016133
10 2016115
11
Control of PD-L1 Expression by Oncogenic Activation of the AKT–mTOR Pathway in Non–Small Cell Lung Cancerbreakdown →
2015643
12 2015196
13 201596
14 201442
15
Association of PD-1, PD-1 Ligands, and Other Features of the Tumor Immune Microenvironment with Response to Anti–PD-1 Therapybreakdown →
20141873
16 201460
17 2011118
18 200959
19 200916
20 200868

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.

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