Ning Ren

4.9k citations
113 papers · 3.9k · h-index 36

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Hepatology top 1%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • RNA modifications and cancer 8
    • Cancer, Hypoxia, and Metabolism 8
    • Cancer Genomics and Diagnostics 7
    • Cancer, Lipids, and Metabolism 7

Ning Ren

113 papers receiving 3.8k citations

Peers

Ning Ren
Comparison fields: 5 of 118
  • Cancer Research 1.2k
  • Hepatology 592
  • Oncology 766
  • Molecular Biology 1.5k
  • Rheumatology 287
Replace Jun Akiba with:
Jun Akiba Japan
Bo Zhai China
Wen‐Ming Cong China
Koichi Kawamoto Japan
Yan Zheng China
Hidenori Ojima Japan
Carolin Mogler Germany
Zhipeng Han China
Sandra Rebouissou France
Cédric Coulouarn France
Ning Ren relative to Jun Akiba Japan Jun Akiba's profile →
Citations per field
00.5×1.5×1.8×
Jun Akiba · 1×
Citations per year

Countries citing papers authored by Ning Ren

Since Specialization
Citations

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

Fields of papers citing papers by Ning Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013250
2 2007153
3 2008151
4 2021139
5 2013118
6 2022114
7 2020110
8 2020110
9 200693
10 202292
11 201088
12 202385
13 200784
14 201481
15 202081
16 201777
17 200676
18 200974
19 200372
20 201167

About Ning Ren

Ning Ren is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Hepatology, having authored 113 papers that have together received 3.9k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Bone and Dental Protein Studies (9 papers), RNA modifications and cancer (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Cancer Genomics and Diagnostics (7 papers), Cancer, Lipids, and Metabolism (7 papers) and Pancreatic and Hepatic Oncology Research (7 papers). The work is most often cited by research in Cancer Research (1.2k citations), Hepatology (592 citations), Oncology (766 citations), Molecular Biology (1.5k citations) and Rheumatology (287 citations). Ning Ren has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Lun–Xiu Qin, Qiongzhu Dong, Qing‐Hai Ye, Chenhao Zhou, Hu‐Liang Jia, Haijun Zhou, Hui‐Chuan Sun, Manar Atyah, Jia Fan and Zhao–You Tang. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, Hepatology, Annals of Translational Medicine, International Journal of Biological Sciences and Journal of Clinical Oncology.

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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