Xiaoying Wei

505 citations
23 papers · 367 · h-index 10

Impact in

Papers in

    • RNA modifications and cancer 2
    • DNA Repair Mechanisms 1
    • Cancer Immunotherapy and Biomarkers 4
    • CAR-T cell therapy research 2

Xiaoying Wei

22 papers receiving 358 citations

Peers

Xiaoying Wei
Comparison fields: 5 of 62
  • Oncology 111
  • Cancer Research 51
  • Nutrition and Dietetics 37
  • Biotechnology 18
  • Ophthalmology 16
Replace Kaiyuan Hui with:
Kaiyuan Hui China
Fei Xiong China
Han Zhu China
Mohsen Taghizadeh Iran
Wing‐Keung Chu Taiwan
Teresa Catalano Italy
Shujun Xiao China
Anna Ślusarz United States
Maria Ruden United States
Xinwei Wang China
Xiaoying Wei relative to Kaiyuan Hui China Kaiyuan Hui's profile →
Citations per field
00.5×3.2×
Kaiyuan Hui · 1×
Citations per year

Countries citing papers authored by Xiaoying Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Up-regulation of Twist induces angiogenesis and correlates with metastasis in hepatocellular carcinoma.
200796
2 202065
3 201951
4 202229
5 201620
6 202019
7 201318
8 202211
9 20219
10 20259
11 20207
12
Reversing adriamycin resistance of human breast cancer cells by hyperthermia combined with Interferon alpha and Verapamil.
20076
13 19875
14 20224
15 20233
16 20253
17 20223
18 20253
19 20212
20 20202

About Xiaoying Wei

Xiaoying Wei is a scholar working on Molecular Biology, Oncology, Surgery, Immunology and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 367 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Esophageal Cancer Research and Treatment (4 papers), Cancer, Lipids, and Metabolism (2 papers), CAR-T cell therapy research (2 papers), Immunotherapy and Immune Responses (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Oncology (111 citations), Cancer Research (51 citations), Nutrition and Dietetics (37 citations), Biotechnology (18 citations) and Ophthalmology (16 citations). Xiaoying Wei has collaborated with scholars based in China, United States and Nepal. Frequent co-authors include Weihua Zhang, Aiguo Xu, X. Hao, Ruifang Niu, Yu Shi, Yiling Yang, Qingsong Pang, Zhiyong Yuan, Jingjing Cheng and Xiaofeng Ding. Their work appears in journals such as Frontiers in Immunology, Frontiers in Bioengineering and Biotechnology, HemaSphere, Journal for ImmunoTherapy of Cancer and Journal of Leukocyte Biology.

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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