Kaiming Ren

443 citations
29 papers · 321 · h-index 9

Impact in

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

Papers in

    • RNA modifications and cancer 6
    • Circular RNAs in diseases 4
    • Cancer-related molecular mechanisms research 9
    • MicroRNA in disease regulation 4
    • Cancer, Hypoxia, and Metabolism 4

Kaiming Ren

26 papers receiving 318 citations

Peers

Kaiming Ren
Comparison fields: 5 of 70
  • Cancer Research 181
  • Nephrology 24
  • Molecular Biology 216
  • Agronomy and Crop Science 13
  • Toxicology 4
Replace Manjula Vinod with:
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Qiong Xiao China
Sergey D. Egranov United States
Yali Min China
Chenling Meng China
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Rituparna Ganguly United States
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Kaiming Ren relative to Manjula Vinod France Manjula Vinod's profile →
Citations per field
00.5×2.9×
Manjula Vinod · 1×
Citations per year

Countries citing papers authored by Kaiming Ren

Since Specialization
Citations

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

Fields of papers citing papers by Kaiming Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201779
2 201434
3 202332
4 201425
5 201424
6 202220
7 201919
8 202213
9 202111
10 20218
11 20237
12 20237
13 20216
14 20226
15 20196
16 20235
17 20084
18 20213
19 20212
20 20242

About Kaiming Ren

Kaiming Ren is a scholar working on Molecular Biology, Cancer Research, Nephrology, Plant Science and Agronomy and Crop Science, having authored 29 papers that have together received 321 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (6 papers), Dialysis and Renal Disease Management (5 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Crop Yield and Soil Fertility (3 papers) and Irrigation Practices and Water Management (3 papers). The work is most often cited by research in Cancer Research (181 citations), Nephrology (24 citations), Molecular Biology (216 citations), Agronomy and Crop Science (13 citations) and Toxicology (4 citations). Kaiming Ren has collaborated with scholars based in China, India and United States. Frequent co-authors include Jungang Zhao, Jun Tang, Jungang Zhao, Ran Xu, Jingshan Huang, Jiuxu Bai, Ning Cao, Di Yu, Xiaolong Chen and Yong Yu. Their work appears in journals such as Renal Failure, Plants, Agricultural Water Management, BMJ Open and Oncology Reports.

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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