Long Yuan

675 total citations
18 papers, 545 citations indexed

About

Long Yuan is a scholar working on Oncology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Long Yuan has authored 18 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Biomedical Engineering and 4 papers in Molecular Biology. Recurrent topics in Long Yuan's work include Graphene and Nanomaterials Applications (4 papers), Nanoplatforms for cancer theranostics (3 papers) and Advanced Breast Cancer Therapies (2 papers). Long Yuan is often cited by papers focused on Graphene and Nanomaterials Applications (4 papers), Nanoplatforms for cancer theranostics (3 papers) and Advanced Breast Cancer Therapies (2 papers). Long Yuan collaborates with scholars based in China, Spain and United States. Long Yuan's co-authors include Jun Deng, Xiaowei Qi, Xunzhou Yu, Danfeng He, Chang Yan, Jun Jiang, Gaoxing Luo, Yi Zhang, Menglong Liu and Wei Qian and has published in prestigious journals such as Journal of Clinical Oncology, Acta Biomaterialia and RSC Advances.

In The Last Decade

Long Yuan

17 papers receiving 537 citations

Peers

Long Yuan
Comparison fields: 5 of 83
  • Biomedical Engineering 212
  • Molecular Biology 161
  • Materials Chemistry 138
  • Biomaterials 120
  • Cancer Research 76
Replace Chao Jian with:
Chao Jian China
Minhee Ku South Korea
Sung Duk Jo South Korea
Yun Meng China
Xiaoying Chu China
Jie Zang China
Xiayi Liang China
Yunan Zhao China
Yuchong Wang China
Volodymyr Vovk Ukraine
Chao Jian China View profile →
Citations per field, relative to Long Yuan
Long Yuan · 1×
Citations per year, relative to Long Yuan
Long Yuan · 1×

Countries citing papers authored by Long Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Long Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Long Yuan. A scholar is included among the top collaborators of Long Yuan 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 Long Yuan. Long Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 8
3 1
4 8
5 11
6 33
7 53
8 3
9 18
10 2
11 15
12 30
13 78
14 118
15
Multifaceted regulation and functions of replication factor C family in human cancers.
54
16 70
17
RNA activation technique and its applications in cancer research.
6
18 37

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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