Ying Xia

484 citations
27 papers · 303 · h-index 11

Impact in

Papers in

Ying Xia

27 papers receiving 295 citations

Peers

Ying Xia
Comparison fields: 5 of 73
  • Oncology 117
  • Psychiatry and Mental health 52
  • Endocrine and Autonomic Systems 20
  • Pediatrics, Perinatology and Child Health 53
  • Immunology 55
Replace Asunción Martín-Ruiz with:
Asunción Martín-Ruiz Spain
Kazumi Fujita Japan
Eyal Meiri United States
Tarek Taha Israel
Kenya Nakai Japan
Haresh Jhangiani United States
Virgil S. Lucas United States
Giusy Messina Italy
Steven F. Duane United States
Chunyu Wang China
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Citations per field
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Asunción Martín-Ruiz · 1×
Citations per year

Countries citing papers authored by Ying Xia

Since Specialization
Citations

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

Fields of papers citing papers by Ying Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ying Xia, 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 Ying Xia Line = papers co-authored together Ying Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202238
2
Phase I trial of icotinib, a novel epidermal growth factor receptor tyrosine kinase inhibitor, in Chinese patients with non-small cell lung cancer.
201131
3 202026
4 202126
5 202219
6 202117
7 202216
8 202116
9 202212
10
An approach to the effect on tumors of acupuncture in combination with radiotherapy or chemotherapy.
198612
11 202010
12
Efficacy and clinical/molecular predictors of erlotinib monotherapy for Chinese advanced non-small cell lung cancer.
201010
13 20228
14 20208
15 20218
16 20247
17 20127
18 20216
19 20076
20 20233

About Ying Xia

Ying Xia is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Immunology, Pediatrics, Perinatology and Child Health and Psychiatry and Mental health, having authored 27 papers that have together received 303 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Immune Cell Function and Interaction (6 papers), Lung Cancer Treatments and Mutations (4 papers), Immunotherapy and Immune Responses (4 papers), Neuroscience of respiration and sleep (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Healthcare and Venom Research (2 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). The work is most often cited by research in Oncology (117 citations), Psychiatry and Mental health (52 citations), Endocrine and Autonomic Systems (20 citations), Pediatrics, Perinatology and Child Health (53 citations) and Immunology (55 citations). Ying Xia has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Hong‐Li Guo, Ya‐Hui Hu, Feng Chen, Jing Xu, Jianchun Yu, Yunhe Liu, Wentao Li, Huayu Chen, Mengzhao Wang and Yingjie Jia. Their work appears in journals such as Biomedical Chromatography, Frontiers in Pharmacology, Frontiers in Psychiatry, Contrast Media & Molecular Imaging and Frontiers in Immunology.

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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