Long Ren

929 citations
19 papers · 720 · h-index 12

Impact in

  • Nephrology top 5%
    • Gout, Hyperuricemia, Uric Acid
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Inflammasome and immune disorders 7
    • Circular RNAs in diseases 2
    • Heat shock proteins research 1
    • Gout, Hyperuricemia, Uric Acid 6

Long Ren

18 papers receiving 714 citations

Peers

Long Ren
Comparison fields: 5 of 86
  • Nephrology 151
  • Cancer Research 132
  • Neurology 52
  • Molecular Biology 385
  • Molecular Medicine 27
Replace Xuan Xu with:
Xuan Xu China
Wenfang He China
Felicia A. Hunter United States
Michael Tranter United States
Soo Yeon Joo South Korea
Huhu Li China
Samuel I. Bloom United States
Xiangjun Bai China
Jiulin Chen China
Long Ren relative to Xuan Xu China Xuan Xu's profile →
Citations per field
00.5×5.4×
Xuan Xu · 1×
Citations per year

Countries citing papers authored by Long Ren

Since Specialization
Citations

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

Fields of papers citing papers by Long Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2018229
2 2019129
3 202049
4 201948
5 201645
6 201945
7 201636
8 201833
9 202223
10 202119
11 202018
12 202214
13 20219
14 20228
15 20237
16 20225
17 20232
18 20251
19 20250

About Long Ren

Long Ren is a scholar working on Molecular Biology, Nephrology, Cardiology and Cardiovascular Medicine, Neurology and Cell Biology, having authored 19 papers that have together received 720 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (7 papers), Gout, Hyperuricemia, Uric Acid (6 papers), Transcranial Magnetic Stimulation Studies (2 papers), Circular RNAs in diseases (2 papers), Zebrafish Biomedical Research Applications (2 papers), Cancer-related molecular mechanisms research (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Nephrology (151 citations), Cancer Research (132 citations), Neurology (52 citations), Molecular Biology (385 citations) and Molecular Medicine (27 citations). Long Ren has collaborated with scholars based in China and Australia. Frequent co-authors include Mei Zeng, Hongmei Li, Yunlong Bai, Baofeng Chen, Yanan Jiang, Ying� Qin, Xi Sun, Er Yue, Jie Lv and Lihong Wang. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Arthritis Research & Therapy, International Immunopharmacology, Aquatic Toxicology and Neural Plasticity.

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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