Le‐Xing Yu

6.2k total citations · 3 hit papers
27 papers, 3.9k citations indexed

About

Le‐Xing Yu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Le‐Xing Yu has authored 27 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Immunology and 10 papers in Oncology. Recurrent topics in Le‐Xing Yu's work include Liver physiology and pathology (5 papers), Immune Response and Inflammation (5 papers) and Immune cells in cancer (5 papers). Le‐Xing Yu is often cited by papers focused on Liver physiology and pathology (5 papers), Immune Response and Inflammation (5 papers) and Immune cells in cancer (5 papers). Le‐Xing Yu collaborates with scholars based in China, United States and Netherlands. Le‐Xing Yu's co-authors include Robert F. Schwabe, Hongyang Wang, Silvia Affò, Wen Yang, Mengchao Wu, Ling Yan, Liang Tang, Linna Guo, He‐Xin Yan and Dan Cao and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Le‐Xing Yu

26 papers receiving 3.8k citations

Hit Papers

Tumor-derived exosomal miR-1247-3p induces cancer-associa... 2016 2026 2019 2022 2018 2016 2017 250 500 750

Peers

Le‐Xing Yu
Comparison fields: 5 of 109
  • Molecular Biology 2.2k
  • Cancer Research 1.2k
  • Oncology 1.1k
  • Epidemiology 825
  • Hepatology 734
Replace Wen Yang with:
Wen Yang China
Henning Schulze‐Bergkamen Germany
Taoyang Chen China
Wei‐Fen Xie China
Hayato Hikita Japan
Wei Yu China
Matthias S. Matter Switzerland
Nathalie Théret France
Hisanobu Ogata Japan
Zhi Dai China
Wen Yang China View profile →
Citations per field, relative to Le‐Xing Yu
Le‐Xing Yu · 1×
Citations per year, relative to Le‐Xing Yu
Le‐Xing Yu · 1×

Countries citing papers authored by Le‐Xing Yu

Since Specialization
Citations

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

Fields of papers citing papers by Le‐Xing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Le‐Xing Yu. 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 Le‐Xing Yu. The network helps show where Le‐Xing Yu may publish in the future.

Co-authorship network of co-authors of Le‐Xing Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Le‐Xing Yu. A scholar is included among the top collaborators of Le‐Xing Yu 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 Le‐Xing Yu. Le‐Xing Yu 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 16
3 59
4 4
5
Tumor-derived exosomal miR-1247-3p induces cancer-associated fibroblast activation to foster lung metastasis of liver cancer breakdown →
779
6 235
7
The gut microbiome and liver cancer: mechanisms and clinical translation breakdown →
422
8 33
9 179
10 43
11 184
12 7
13 28
14 33
15 106
16 17
17 122
18 271
19 306
20 114

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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