Xiaodan He

701 citations
17 papers · 599 · h-index 11

Impact in

  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery
    • Pancreatic and Hepatic Oncology Research
    • Drug Transport and Resistance Mechanisms

Papers in

    • Advanced biosensing and bioanalysis techniques 2
    • RNA Interference and Gene Delivery 2
    • Cancer Treatment and Pharmacology 2
    • Drug Transport and Resistance Mechanisms 2

Xiaodan He

17 papers receiving 591 citations

Peers

Xiaodan He
Comparison fields: 5 of 94
  • Biomaterials 180
  • Oncology 149
  • Cancer Research 76
  • Molecular Biology 299
  • Biomedical Engineering 181
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Guangxuan Liu China
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Citations per field
00.5×10×20×30×40×47×
Guangxuan Liu · 1×
Citations per year

Countries citing papers authored by Xiaodan He

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2015257
2 201688
3 201542
4 201640
5 201538
6 201331
7 202122
8 201613
9 201813
10 202011
11 201411
12 20149
13 20217
14 20236
15
The effects of the quality nursing mode intervention on the psychological moods, postoperative complications, and nursing satisfaction of breast cancer surgery patients.
20216
16 20214
17 20241

About Xiaodan He

Xiaodan He is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Surgery and Biomaterials, having authored 17 papers that have together received 599 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (3 papers), Advanced Chemical Sensor Technologies (2 papers), Cancer Treatment and Pharmacology (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), RNA Interference and Gene Delivery (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Biomaterials (180 citations), Oncology (149 citations), Cancer Research (76 citations), Molecular Biology (299 citations) and Biomedical Engineering (181 citations). Xiaodan He has collaborated with scholars based in China and Russia. Frequent co-authors include Weisan Pan, Zhongwei Gu, Bin He, Jun Cao, Qiangying Yi, Lei Jiang, Li Li, Ti Zhang, Xiaohong Shen and Beibei Xin. Their work appears in journals such as Clinical & Translational Oncology, RSC Advances, Contrast Media & Molecular Imaging, American Journal of Translational Research and Biomaterials.

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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