Junjun Luan

517 citations
19 papers · 403 · h-index 13

Impact in

  • Nephrology top 10%
    • Chronic Kidney Disease and Diabetes
    • Acute Kidney Injury Research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Circular RNAs in diseases 6
    • Epigenetics and DNA Methylation 1
    • Renal Diseases and Glomerulopathies 3
    • Chronic Kidney Disease and Diabetes 2

Junjun Luan

18 papers receiving 403 citations

Peers

Junjun Luan
Comparison fields: 5 of 74
  • Nephrology 74
  • Cancer Research 129
  • Molecular Biology 226
  • Rheumatology 34
  • Immunology 47
Replace Jinchun Xing with:
Jinchun Xing China
Yangang Wang China
Mi Jeong Heo South Korea
Chintogtokh Baatarjav Japan
Ke-Xin Tang China
Huijun Shen China
Taisuke Baba Japan
Minghao Guo China
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Citations per field
00.5×1.5×2×2.3×
Jinchun Xing · 1×
Citations per year

Countries citing papers authored by Junjun Luan

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201781
2 202149
3 201742
4 201941
5 202036
6 202228
7 202220
8 202019
9 202218
10 202216
11 202214
12 201913
13 202312
14 20165
15 20213
16 20242
17 20212
18 20192
19 20250

About Junjun Luan

Junjun Luan is a scholar working on Molecular Biology, Nephrology, Cancer Research, Pulmonary and Respiratory Medicine and Health, Toxicology and Mutagenesis, having authored 19 papers that have together received 403 indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (5 papers), Renal Diseases and Glomerulopathies (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Air Quality and Health Impacts (2 papers), Heavy Metal Exposure and Toxicity (2 papers), Cancer-related molecular mechanisms research (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Nephrology (74 citations), Cancer Research (129 citations), Molecular Biology (226 citations), Rheumatology (34 citations) and Immunology (47 citations). Junjun Luan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hua Zhou, Congcong Jiao, Jingqi Fu, Jingbo Pi, Jeffrey B. Kopp, Yixiao Zhang, Weiwei Kong, Chengjie Chen, Lining Wang and Huihui Wang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Kidney International Reports, Molecular Therapy — Nucleic Acids, BMC Nephrology and International Immunopharmacology.

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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