Li‐Xu Yan

6.0k citations
63 papers · 4.1k indexed · 3 hit papers · h-index 26
Topics
Lung Cancer Treatments and Mutations (15 papers)Cancer Immunotherapy and Biomarkers (13 papers)Cancer-related molecular mechanisms research (12 papers)

In The Last Decade

Li‐Xu Yan

55 papers receiving 4.0k citations

Hit Papers

MicroRNA miR-21 overexpression in human breast cancer is ...2008202620142020200820162017250500750

Peers

Li‐Xu Yan
Comparison fields: 5 of 119
  • Molecular Biology 2.0k
  • Cancer Research 1.9k
  • Oncology 1.6k
  • Pulmonary and Respiratory Medicine 1.3k
  • Immunology 443
Replace Gulisa Turashvili with:
Gulisa Turashvili Canada
Alexander Quaas Germany
Dan Huang China
Alexander S. Baras United States
Judith Hugh Canada
Hualiang Xiao China
Dmitry Turbin Canada
Marnix Jansen United Kingdom
Hege G. Russnes Norway
Karīna Siliņa Switzerland
Li‐Xu Yan relative to Gulisa Turashvili Canada Gulisa Turashvili's profile →
Citations per field
00.5×1.5×2.4×
Gulisa Turashvili · 1×
Citations per year

Countries citing papers authored by Li‐Xu Yan

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Xu Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Xu Yan. 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 Li‐Xu Yan. The network helps show where Li‐Xu Yan may publish in the future.

Co-authorship network of co-authors of Li‐Xu Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Xu Yan. A scholar is included among the top collaborators of Li‐Xu Yan 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 Li‐Xu Yan. Li‐Xu Yan 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
#WorkIndexed citations
1 1
2 2
3 4
4 68
5 11
6 21
7 11
8 32
9 101
10 33
11 1
12 9
13 120
14 1
15
Potential Predictive Value of TP53 and KRAS Mutation Status for Response to PD-1 Blockade Immunotherapy in Lung Adenocarcinomabreakdown →
741
16 14
17 65
18 3
19 237
20 64

About Li‐Xu Yan

Li‐Xu Yan is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 63 papers that have together received 4.1k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (15 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Cancer-related molecular mechanisms research (12 papers). The work is most often cited by research in Cancer Research (1.9k citations), Oncology (1.6k citations) and Pulmonary and Respiratory Medicine (1.3k citations). Li‐Xu Yan has collaborated with scholars based in China, Sweden and United Kingdom. Frequent co-authors include Jian‐Yong Shao, Yi-Xin Zeng, Ma-Yan Huang, Qiu-Liang Wu, Qiong Shao, Ling Deng, Zhong‐Yi Dong, Yi‐Long Wu, Wen‐Zhao Zhong and Jian Su. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

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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