Di Ren

1.4k citations
41 papers · 1.1k · h-index 19

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 11
    • Mitochondrial Function and Pathology 5
    • Protein Kinase Regulation and GTPase Signaling 4
    • Pancreatic function and diabetes 6

Di Ren

37 papers receiving 1.0k citations

Peers

Di Ren
Comparison fields: 5 of 83
  • Geriatrics and Gerontology 123
  • Parasitology 115
  • Endocrinology, Diabetes and Metabolism 197
  • Physiology 51
  • Cardiology and Cardiovascular Medicine 193
Replace Mei Zeng with:
Mei Zeng China
Masashi Ikutani Japan
Linda S. Hoffmann Germany
Emiliano Medei Brazil
Tong Wei China
Maria Rohm Germany
Sudhakar Veeranki United States
Luciana Fernandes Brazil
M. Pollera Italy
James H. DeFord United States
Di Ren relative to Mei Zeng China Mei Zeng's profile →
Citations per field
00.5×8.6×
Mei Zeng · 1×
Citations per year

Countries citing papers authored by Di Ren

Since Specialization
Citations

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

Fields of papers citing papers by Di Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020159
2 2020106
3 201891
4 201982
5 201956
6 202154
7 201950
8 202041
9 201240
10 201838
11 202036
12 201935
13 201233
14 202026
15 201326
16 202226
17 202023
18 202122
19 201918
20 202215

About Di Ren

Di Ren is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Parasitology, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (11 papers), Pancreatic function and diabetes (6 papers), Toxoplasma gondii Research Studies (6 papers), Mitochondrial Function and Pathology (5 papers), Cardiac Ischemia and Reperfusion (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Geriatrics and Gerontology (123 citations), Parasitology (115 citations), Endocrinology, Diabetes and Metabolism (197 citations), Physiology (51 citations) and Cardiology and Cardiovascular Medicine (193 citations). Di Ren has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Ji Li, Xiaodong Sun, Jingwen Zhang, Qingguo Lü, Xuan Li, Julia Fedorova, Zhibin He, Fang Han, Thomas Rousselle and Ying Han. Their work appears in journals such as Redox Biology, Bioscience Reports, Clinical and Vaccine Immunology, Circulation and Cells.

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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