Di Ren

1.4k citations
38 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

36 papers receiving 1.1k citations

Peers

Di Ren
Comparison fields: 5 of 77
  • Geriatrics and Gerontology 111
  • Parasitology 117
  • Endocrinology, Diabetes and Metabolism 172
  • Physiology 45
  • Cardiology and Cardiovascular Medicine 168
Replace Tong Wei with:
Tong Wei China
Mei Zeng China
Emiliano Medei Brazil
Vincenzo Grimaldi Italy
Masashi Ikutani Japan
Linda S. Hoffmann Germany
Pin‐Lan Li United States
Denise E. Lackey United States
Venkatesh Rajapurohitam Canada
Luciana Fernandes Brazil
Di Ren relative to Tong Wei China Tong Wei's profile →
Citations per field
00.5×11.5×
Tong Wei · 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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020167
2 2020113
3 201893
4 201985
5 202157
6 201956
7 201951
8 202044
9 201240
10 201839
11 201936
12 202036
13 201234
14 202029
15 202228
16 201327
17 202026
18 202123
19 201918
20 202216

About Di Ren

Di Ren is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Parasitology and Pathology and Forensic Medicine, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (11 papers), Toxoplasma gondii Research Studies (6 papers), Pancreatic function and diabetes (6 papers), Cardiac Ischemia and Reperfusion (5 papers), Mitochondrial Function and Pathology (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Diabetes Treatment and Management (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Geriatrics and Gerontology (111 citations), Parasitology (117 citations), Endocrinology, Diabetes and Metabolism (172 citations), Physiology (45 citations) and Cardiology and Cardiovascular Medicine (168 citations). Di Ren has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Ji Li, Jingwen Zhang, Xiaodong Sun, 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, Cells and Circulation.

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.

Explore authors with similar magnitude of impact