Xinyu Wan

902 citations
53 papers · 556 · h-index 16

Impact in

Papers in

    • HER2/EGFR in Cancer Research 7
    • CAR-T cell therapy research 5
    • Cancer Treatment and Pharmacology 4
    • Advanced biosensing and bioanalysis techniques 7

Xinyu Wan

46 papers receiving 548 citations

Peers

Xinyu Wan
Comparison fields: 5 of 101
  • Bioengineering 23
  • Electrochemistry 24
  • Molecular Biology 253
  • Cancer Research 54
  • Oncology 91
Replace Wei Meng with:
Wei Meng China
Jisen Dai United States
Rong Zheng China
Hiroyuki Ohkawa Japan
Qifeng Jiang China
Jun-Sub Kim South Korea
Kazuo Nomura Japan
Yuhao Liu China
Kevin Dooley United States
Ting Guo China
Xinyu Wan relative to Wei Meng China Wei Meng's profile →
Citations per field
00.5×2.6×
Wei Meng · 1×
Citations per year

Countries citing papers authored by Xinyu Wan

Since Specialization
Citations

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

Fields of papers citing papers by Xinyu Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202452
2 202328
3 201926
4 202325
5 201824
6 202022
7 201922
8 201921
9 202021
10 202119
11 201919
12 202418
13 202018
14 202218
15 202316
16 202416
17 202415
18 202414
19 201811
20 202211

About Xinyu Wan

Xinyu Wan is a scholar working on Oncology, Molecular Biology, Cancer Research, Electrical and Electronic Engineering and Biomedical Engineering, having authored 53 papers that have together received 556 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (8 papers), HER2/EGFR in Cancer Research (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), CAR-T cell therapy research (5 papers), Cancer Treatment and Pharmacology (4 papers), Biosensors and Analytical Detection (3 papers), Advanced Photocatalysis Techniques (3 papers) and Chalcogenide Semiconductor Thin Films (3 papers). The work is most often cited by research in Bioengineering (23 citations), Electrochemistry (24 citations), Molecular Biology (253 citations), Cancer Research (54 citations) and Oncology (91 citations). Xinyu Wan has collaborated with scholars based in China, Taiwan and United Kingdom. Frequent co-authors include Dianping Tang, Haiyang Wang, Haiyang Wang, Yongyi Zeng, Dianyong Tang, Mei‐Jin Li, Qiao‐Hua Wei, Juan Tang, Xiaolong Liu and Ruijin Zeng. Their work appears in journals such as Biosensors and Bioelectronics, Journal of Agricultural and Food Chemistry, Fish & Shellfish Immunology, Environmental Research and Sensors and Actuators B Chemical.

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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