Ke Ren

886 citations
63 papers · 635 · h-index 15

Impact in

  • Nephrology top 5%
    • Acute Kidney Injury Research
    • Chronic Kidney Disease and Diabetes
  • Hepatology top 10%

Papers in

Ke Ren

55 papers receiving 621 citations

Peers

Ke Ren
Comparison fields: 5 of 113
  • Nephrology 82
  • Hepatology 51
  • Radiology, Nuclear Medicine and Imaging 147
  • Neurology 57
  • Geriatrics and Gerontology 13
Replace Francesco Di Maggio with:
Francesco Di Maggio United Kingdom
Jia Deng China
Haiming Li China
Tomomi Yamada Japan
Nor Azian Abdul Murad Malaysia
Meng Han China
Yuting Shen China
Yuxuan Qiu China
Yunzhi Wang China
Ziyi Liu China
Ke Ren relative to Francesco Di Maggio United Kingdom Francesco Di Maggio's profile →
Citations per field
00.5×11.3×
Francesco Di Maggio · 1×
Citations per year

Countries citing papers authored by Ke Ren

Since Specialization
Citations

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

Fields of papers citing papers by Ke Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201772
2 202065
3 202041
4 199733
5 201933
6 202229
7 202127
8 201226
9 202223
10 202219
11 201918
12 202117
13 202016
14 201714
15 201414
16 200714
17 201813
18 202113
19 201912
20 201511

About Ke Ren

Ke Ren is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Molecular Biology, Nephrology and Pulmonary and Respiratory Medicine, having authored 63 papers that have together received 635 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Acute Kidney Injury Research (5 papers), Advanced MRI Techniques and Applications (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Bone Metabolism and Diseases (3 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Nephrology (82 citations), Hepatology (51 citations), Radiology, Nuclear Medicine and Imaging (147 citations), Neurology (57 citations) and Geriatrics and Gerontology (13 citations). Ke Ren has collaborated with scholars based in China, Malaysia and Japan. Frequent co-authors include Yanfei Li, Siyuan Wang, Xiang Yao, Xiaohua Chen, Pan Liang, Jianbo Gao, Yongfang Wang, Yang Sun, Xin Zhang and Xun Qi. Their work appears in journals such as BioMed Research International, Advanced Functional Materials, Frontiers in Aging Neuroscience, Heliyon and Disease Markers.

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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