Xun‐Xi Lu

425 total citations
26 papers, 184 citations indexed

About

Xun‐Xi Lu is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xun‐Xi Lu has authored 26 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cancer Research, 12 papers in Oncology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xun‐Xi Lu's work include Breast Cancer Treatment Studies (13 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Breast Lesions and Carcinomas (5 papers). Xun‐Xi Lu is often cited by papers focused on Breast Cancer Treatment Studies (13 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Breast Lesions and Carcinomas (5 papers). Xun‐Xi Lu collaborates with scholars based in China, Democratic Republic of the Congo and United Kingdom. Xun‐Xi Lu's co-authors include Mengting He, Xin Hu, Jin Liu, Lin Wan, Luoting Yu, Xiaoguang Li, Li Zeng, Zhi‐Ming Shao, Xi Jin and Tian‐Jian Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Cancer Research.

In The Last Decade

Xun‐Xi Lu

20 papers receiving 182 citations

Peers

Xun‐Xi Lu
Comparison fields: 5 of 46
  • Cancer Research 66
  • Oncology 62
  • Genetics 55
  • Molecular Biology 54
  • Surgery 43
Replace Manabu Fujisawa with:
Manabu Fujisawa Japan
Faye Robertson United Kingdom
Felicity Lose Australia
Maciej Cabanski Switzerland
Anne-Sophie Carret Canada
Kausar J. Jabbar United States
Mark Mansour Canada
Thong Quang Pham Vietnam
Daniel A. Wattson United States
Manabu Fujisawa Japan View profile →
Citations per field, relative to Xun‐Xi Lu
Xun‐Xi Lu · 1×
Citations per year, relative to Xun‐Xi Lu
Xun‐Xi Lu · 1×

Countries citing papers authored by Xun‐Xi Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xun‐Xi Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xun‐Xi Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Xun‐Xi Lu. A scholar is included among the top collaborators of Xun‐Xi 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 Xun‐Xi Lu. Xun‐Xi 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 1
2 0
3 0
4 7
5 0
6 3
7 1
8 4
9 0
10 1
11 11
12 6
13 0
14
A novel risk model based on immune response predicts clinical outcomes and characterizes immunophenotypes in triple-negative breast cancer.
1
15 15
16 32
17 8
18 10
19 15
20 45

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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