Ye Gan

486 total citations · 1 hit paper
7 papers, 403 citations indexed

About

Ye Gan is a scholar working on Molecular Biology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Ye Gan has authored 7 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Biomaterials and 2 papers in Biomedical Engineering. Recurrent topics in Ye Gan's work include RNA Interference and Gene Delivery (4 papers), Nanoparticle-Based Drug Delivery (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Ye Gan is often cited by papers focused on RNA Interference and Gene Delivery (4 papers), Nanoparticle-Based Drug Delivery (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Ye Gan collaborates with scholars based in China, Australia and United States. Ye Gan's co-authors include Hongyan Zhu, Lanlan Shao, Hongwei Chen, Chunyan Gu, Hongwei Guo, Dan‐Yi Wei, Tianqing Liu, Yanjun Liu, Yanyan Yu and Yueqing Gu and has published in prestigious journals such as ACS Applied Materials & Interfaces, Journal of Controlled Release and Pharmaceutics.

In The Last Decade

Ye Gan

7 papers receiving 400 citations

Hit Papers

Exosome-mediated siRNA delivery to suppress postoperative... 2019 2026 2021 2023 2019 100 200 300

Peers

Ye Gan
Comparison fields: 5 of 62
  • Molecular Biology 325
  • Cancer Research 174
  • Biomedical Engineering 121
  • Biomaterials 69
  • Immunology 37
Replace Lanlan Shao with:
Lanlan Shao China
Chunyan Gu China
Hongxiang Wei China
Junqiao Zhu China
Jiamao Luo China
Xiaolin Fang China
Fangfang Chen China
Jayoung Kim United States
Daoke Yang China
Qingming Xia China
Lanlan Shao China View profile →
Citations per field, relative to Ye Gan
Ye Gan · 1×
Citations per year, relative to Ye Gan
Ye Gan · 1×

Countries citing papers authored by Ye Gan

Since Specialization
Citations

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

Fields of papers citing papers by Ye Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Gan. A scholar is included among the top collaborators of Ye Gan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ye Gan. Ye Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 23
2
Exosome-mediated siRNA delivery to suppress postoperative breast cancer metastasis breakdown →
336
3 5
4 15
5 17
6
Functional evaluation of mutations in the tissue-nonspecific alkaline phosphatase gene.
3
7
Mechanism of Ginsenoside Rb1 Against Myocardial Apoptosis during Ischemia-reperfusion Injury in Diabetic Rats
4

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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