Zuo Luan

924 citations
49 papers · 686 · h-index 15

Impact in

Papers in

Zuo Luan

45 papers receiving 666 citations

Peers

Zuo Luan
Comparison fields: 5 of 70
  • Developmental Neuroscience 134
  • Genetics 160
  • Hematology 83
  • Neurology 38
  • Cellular and Molecular Neuroscience 85
Replace Yael N. Kusne with:
Yael N. Kusne United States
Herzel Ben‐Hur Israel
Jennifer D. Newcomb United States
Yujia Yang China
Alma R. Bicknese United States
Yukiko Kasahara Japan
Wolf-Rüdiger Schäbitz Germany
Elizabeth Mallam United Kingdom
Eleonora Marchina Italy
Jessica E. Foraker United States
Zuo Luan relative to Yael N. Kusne United States Yael N. Kusne's profile →
Citations per field
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Yael N. Kusne · 1×
Citations per year

Countries citing papers authored by Zuo Luan

Since Specialization
Citations

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

Fields of papers citing papers by Zuo Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zuo Luan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zuo Luan Line = papers co-authored together Zuo Luan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201668
2 201264
3 201952
4 202245
5 201144
6 201844
7 201132
8 201627
9 201527
10 201919
11 201319
12 201419
13 201518
14 202218
15 202116
16
[Treatment of an infant with severe neonatal hypoxic-ischemic encephalopathy sequelae with transplantation of human neural stem cells into cerebral ventricle].
200515
17 202115
18 201315
19 201814
20 202114

About Zuo Luan

Zuo Luan is a scholar working on Developmental Neuroscience, Genetics, Hematology, Pediatrics, Perinatology and Child Health and Immunology, having authored 49 papers that have together received 686 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (12 papers), Neurogenesis and neuroplasticity mechanisms (10 papers), Hematopoietic Stem Cell Transplantation (8 papers), Neonatal and fetal brain pathology (5 papers), Anesthesia and Neurotoxicity Research (5 papers), Pluripotent Stem Cells Research (4 papers), Neonatal Respiratory Health Research (4 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Developmental Neuroscience (134 citations), Genetics (160 citations), Hematology (83 citations), Neurology (38 citations) and Cellular and Molecular Neuroscience (85 citations). Zuo Luan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Caiying Wang, Jian‐Pei Fang, Zhaoyan Wang, Maoquan Qin, Vincent Lee, Jianmin Wang, Jing Chen, Hua Jiang, Weipeng Liu and Jing Chen. Their work appears in journals such as Cell Transplantation, Stem Cell Research & Therapy, Pediatric Transplantation, CNS & Neurological Disorders - Drug Targets and Transplantation and Cellular Therapy.

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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