Decheng Ren

3.4k citations
57 papers · 2.6k · h-index 19

Impact in

Papers in

Decheng Ren

54 papers receiving 2.6k citations

Peers

Decheng Ren
Comparison fields: 5 of 113
  • Endocrine and Autonomic Systems 167
  • Molecular Biology 1.5k
  • Cancer Research 270
  • Aging 33
  • Complementary and alternative medicine 119
Replace Giulia Raina with:
Giulia Raina Italy
Thangiah Geetha United States
Martina Wallace United States
Akira Hashiramoto Japan
Yong Ryoul Yang South Korea
Richard Z. Lin United States
Vinay Choubey Estonia
Canan G. Nebigil France
Kelly L. Jordan‐Sciutto United States
Stephanie Schulz United States
Decheng Ren relative to Giulia Raina Italy Giulia Raina's profile →
Citations per field
00.5×11.2×
Giulia Raina · 1×
Citations per year

Countries citing papers authored by Decheng Ren

Since Specialization
Citations

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

Fields of papers citing papers by Decheng Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009480
2 2010378
3 2015207
4 2005181
5 2017175
6 2007157
7 2002136
8 200995
9 201291
10 201082
11 201976
12 201966
13 200855
14 200943
15 200642
16 201930
17 202128
18 201419
19 201419
20 202318

About Decheng Ren

Decheng Ren is a scholar working on Molecular Biology, Nutrition and Dietetics, Surgery, Epidemiology and Genetics, having authored 57 papers that have together received 2.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Cell death mechanisms and regulation (7 papers), Cancer-related gene regulation (6 papers), Pancreatic function and diabetes (5 papers), HVDC Systems and Fault Protection (3 papers), Regulation of Appetite and Obesity (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (167 citations), Molecular Biology (1.5k citations), Cancer Research (270 citations), Aging (33 citations) and Complementary and alternative medicine (119 citations). Decheng Ren has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Emily H. Cheng, James J. Hsieh, Hyungjin Kim, Liangyou Rui, Gerard P. Zambetti, Osamu Takeuchi, John Jeffers, Ho-Chou Tu, Ho-Chou Tu and Gary X. Wang. Their work appears in journals such as Diabetes, Psychiatric Genetics, Oncotarget, Advanced Science and Aging.

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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