Yun Luan

1.9k citations
59 papers · 1.5k · h-index 21

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Pulmonary Hypertension Research and Treatments 14
    • Neonatal Respiratory Health Research 6
    • Tissue Engineering and Regenerative Medicine 7
    • Congenital Diaphragmatic Hernia Studies 4

Yun Luan

58 papers receiving 1.5k citations

Peers

Yun Luan
Comparison fields: 5 of 96
  • Transplantation 111
  • Immunology 311
  • Cancer Research 216
  • Genetics 145
  • Pulmonary and Respiratory Medicine 353
Replace Stefan Gauer with:
Stefan Gauer Germany
Shunliang Yang China
Zuo‐Lin Li China
Masahiro Shinoda Japan
Rafia S. Al‐Lamki United Kingdom
Sara Lovisa Italy
Elsie Oppermann Germany
Eun Sun Jung South Korea
Quan Liu China
Yun Luan relative to Stefan Gauer Germany Stefan Gauer's profile →
Citations per field
00.5×3.3×
Stefan Gauer · 1×
Citations per year

Countries citing papers authored by Yun Luan

Since Specialization
Citations

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

Fields of papers citing papers by Yun Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yun 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 Yun Luan Line = papers co-authored together Yun Luan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010169
2 2013126
3 2008112
4 201786
5 202055
6 201549
7 201542
8 201839
9 201539
10 202036
11 201235
12 201735
13 201734
14 201332
15 201130
16 200928
17 201428
18 201625
19 201322
20 201222

About Yun Luan

Yun Luan is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Genetics and Immunology, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (14 papers), Mesenchymal stem cell research (9 papers), Tissue Engineering and Regenerative Medicine (7 papers), Immune Cell Function and Interaction (7 papers), Neonatal Respiratory Health Research (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), T-cell and B-cell Immunology (4 papers) and Congenital Diaphragmatic Hernia Studies (4 papers). The work is most often cited by research in Transplantation (111 citations), Immunology (311 citations), Cancer Research (216 citations), Genetics (145 citations) and Pulmonary and Respiratory Medicine (353 citations). Yun Luan has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Chao Sun, Feng Kong, Zhaohua Zhang, Jue Wang, Guanghui Cheng, Barbara Murphy, Wen Jiang, Qian Xin, Yibiao Wang and Xue Xia. Their work appears in journals such as Oncotarget, Journal of Cellular and Molecular Medicine, International Journal of Oncology, American Journal of Transplantation and Investigational New Drugs.

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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