Peng Ru

1.6k citations
17 papers · 1.2k · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer, Lipids, and Metabolism
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism

Papers in

    • MicroRNA in disease regulation 7
    • Cancer, Lipids, and Metabolism 6
    • Cancer-related molecular mechanisms research 5
    • Circular RNAs in diseases 3
    • Protein Degradation and Inhibitors 1

Peng Ru

17 papers receiving 1.2k citations

Peers

Peng Ru
Comparison fields: 5 of 98
  • Cancer Research 722
  • Biochemistry 111
  • Molecular Biology 762
  • Infectious Diseases 128
  • Genetics 54
Replace Yinghui Zhao with:
Yinghui Zhao China
Tony W.H. Li United States
Matthew K. Howe United States
Ricard Garcia‐Carbonell United States
Jian Gu China
Junjeong Choi South Korea
Petros A. Tyrakis United Kingdom
Lin Jiao China
Roni Oren Israel
Zhenhai Yu China
Peng Ru relative to Yinghui Zhao China Yinghui Zhao's profile →
Citations per field
00.5×10.8×
Yinghui Zhao · 1×
Citations per year

Countries citing papers authored by Peng Ru

Since Specialization
Citations

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

Fields of papers citing papers by Peng Ru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2016244
2 2015225
3 2012168
4 2021126
5 2011109
6 2010107
7 201665
8 201161
9 201355
10 201726
11 20229
12 20173
13
A Study on the Differential Expression Profiling of Circulating MicroRNAs in Diabetic Nephropathy
20141
14 20141
15 20181
16 20201
17 20101

About Peng Ru

Peng Ru is a scholar working on Cancer Research, Molecular Biology, Surgery, Infectious Diseases and Oncology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Cancer, Lipids, and Metabolism (6 papers), Cancer-related molecular mechanisms research (5 papers), Cholesterol and Lipid Metabolism (3 papers), Circular RNAs in diseases (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Acute Myeloid Leukemia Research (2 papers) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Cancer Research (722 citations), Biochemistry (111 citations), Molecular Biology (762 citations), Infectious Diseases (128 citations) and Genetics (54 citations). Peng Ru has collaborated with scholars based in United States, China and France. Frequent co-authors include Robert Steele, Ratna B. Ray, Deliang Guo, Arnab Chakravarti, Nancy J. Phillips, Feng Geng, Xiaoning Wu, Étienne Lefai, Balveen Kaur and Ji Young Yoo. Their work appears in journals such as Cancers, Cancer Prevention Research, Clinical Cancer Research, Genes & Cancer and Molecular Cancer Therapeutics.

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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