Xueru Mu

3.0k citations
11 papers · 2.1k indexed · 2 hit papers · h-index 11
Topics
Liver physiology and pathology (4 papers)Pancreatic and Hepatic Oncology Research (2 papers)Liver Disease Diagnosis and Treatment (2 papers)

In The Last Decade

Xueru Mu

11 papers receiving 2.1k citations

Hit Papers

Fate tracing reveals hepatic stellate cells as dominant c...2012202620162021201320122505007501000

Peers

Xueru Mu
Comparison fields: 5 of 96
  • Hepatology 1.2k
  • Epidemiology 982
  • Molecular Biology 556
  • Surgery 464
  • Oncology 305
Replace Tomoaki Tomiya with:
Tomoaki Tomiya Japan
Nikki Feirt United States
Colette Rey France
Claudia Mitchell France
Birgit Lahme Germany
Silvia Affò United States
Youngmin A. Lee United States
Anne-Marie Préaux France
Salvatore Sutti Italy
M J Arthur United Kingdom
Xueru Mu relative to Tomoaki Tomiya Japan Tomoaki Tomiya's profile →
Citations per field
00.5×4.8×
Tomoaki Tomiya · 1×
Citations per year

Countries citing papers authored by Xueru Mu

Since Specialization
Citations

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

Fields of papers citing papers by Xueru Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueru Mu

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 26
2 51
3 155
4 14
5 275
6 46
7
Fate tracing reveals hepatic stellate cells as dominant contributors to liver fibrosis independent of its aetiologybreakdown →
1035
8
Deactivation of Hepatic Stellate Cells During Liver Fibrosis Resolution in Micebreakdown →
392
9 45
10 10
11 34

About Xueru Mu

Xueru Mu is a scholar working on Hepatology, Clinical Biochemistry and Oncology, having authored 11 papers that have together received 2.1k indexed citations. Recurring topics across this work include Liver physiology and pathology (4 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (1.2k citations), Epidemiology (982 citations) and Pharmacology (123 citations). Xueru Mu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Robert F. Schwabe, Jean‐Philippe Pradère, Ingmar Mederacke, Dianne H. Dapito, Christine Hsu, Juliane S. Troeger, Peter Huebener, Geum‐Youn Gwak, Richard A. Friedman and Rosalind E. Jenkins. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Gastroenterology.

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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