Dezhi Mu

12.1k citations
350 papers · 8.2k indexed · 1 hit paper · h-index 48
Topics
Neonatal and fetal brain pathology (56 papers)Neonatal Respiratory Health Research (46 papers)Mitochondrial Function and Pathology (34 papers)

In The Last Decade

Dezhi Mu

335 papers receiving 8.0k citations

Hit Papers

The integrin αvβ8 mediates epithelial homeostasis through...20022026201020182002100200300400500

Peers

Dezhi Mu
Comparison fields: 5 of 167
  • Molecular Biology 2.6k
  • Pediatrics, Perinatology and Child Health 1.8k
  • Pulmonary and Respiratory Medicine 1.3k
  • Epidemiology 1.1k
  • Cancer Research 970
Replace Christoph Bührer with:
Christoph Bührer Germany
David J. Pinsky United States
Hiroshi Itoh Japan
Hemmo A. Drexhage Netherlands
Pinchas Cohen United States
Olivieri Fabiola Italy
Tommaso Simoncini Italy
Sergio Bernasconi Italy
Derek LeRoith United States
Calogero Caruso Italy
Dezhi Mu relative to Christoph Bührer Germany Christoph Bührer's profile →
Citations per field
00.5×2.9×
Christoph Bührer · 1×
Citations per year

Countries citing papers authored by Dezhi Mu

Since Specialization
Citations

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

Fields of papers citing papers by Dezhi Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dezhi Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Dezhi Mu. A scholar is included among the top collaborators of Dezhi 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 Dezhi Mu. Dezhi Mu 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 0
2 8
3 8
4 0
5 10
6 2
7 5
8 14
9 4
10 34
11 9
12 13
13 23
14 61
15 27
16 31
17 1
18 9
19 28
20 121

About Dezhi Mu

Dezhi Mu is a scholar working on Developmental Neuroscience, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 350 papers that have together received 8.2k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (56 papers), Neonatal Respiratory Health Research (46 papers) and Mitochondrial Function and Pathology (34 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (1.8k citations), Developmental Neuroscience (379 citations) and Neurology (645 citations). Dezhi Mu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yi Qu, Donna M. Ferriero, Tao Xiong, Fengyan Zhao, Stephanie Cambier, Tingting Zhu, Fernando F. Gonzalez, Stephen L. Nishimura, Jun Tang and Zinaida S. Vexler. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Journal of Clinical Oncology.

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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