Yun Lu

1.0k total citations
38 papers, 607 citations indexed

About

Yun Lu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Yun Lu has authored 38 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Surgery. Recurrent topics in Yun Lu's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Colorectal Cancer Surgical Treatments (6 papers) and Gastric Cancer Management and Outcomes (5 papers). Yun Lu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Colorectal Cancer Surgical Treatments (6 papers) and Gastric Cancer Management and Outcomes (5 papers). Yun Lu collaborates with scholars based in China, United States and Japan. Yun Lu's co-authors include Cheng Zhao, Shanglong Liu, Shan Yang, Lei Wang, Yongjian Chen, Ying Li, Guangwei Liu, Xianxiang Zhang, Tianye Niu and Wei Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Biochemical and Biophysical Research Communications.

In The Last Decade

Yun Lu

33 papers receiving 590 citations

Peers

Yun Lu
Comparison fields: 5 of 97
  • Radiology, Nuclear Medicine and Imaging 239
  • Molecular Biology 204
  • Oncology 122
  • Cancer Research 92
  • Surgery 90
Replace Huijie Jiang with:
Huijie Jiang China
Diana Montezuma Portugal
Hui Zeng China
Andrew B. Sholl United States
Giu‐Cheng Hsu Taiwan
Sheng Zhao China
Tinghui Wu Taiwan
Chiara Taffon Italy
Huijie Jiang China View profile →
Citations per field, relative to Yun Lu
Yun Lu · 1×
Citations per year, relative to Yun Lu
Yun Lu · 1×

Countries citing papers authored by Yun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Lu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 0
5 3
6 2
7 1
8 1
9 6
10 2
11 20
12 12
13 0
14 45
15 64
16
Establishment of a new non-invasive imaging prediction model for liver metastasis in colon cancer.
26
17 23
18 51
19 17
20
Expression of Fas/FasL and the apoptosis of HepG2 cells transfected with LIGHT and IFN-γ
1

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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