Liwei Ren

769 citations
30 papers · 574 · h-index 14

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • Receptor Mechanisms and Signaling 3
    • Pancreatic function and diabetes 5
    • Cholesterol and Lipid Metabolism 3

Liwei Ren

28 papers receiving 568 citations

Peers

Liwei Ren
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 168
  • Cardiology and Cardiovascular Medicine 196
  • Biological Psychiatry 16
  • Molecular Biology 282
  • Molecular Medicine 20
Replace Francesca Saba with:
Francesca Saba Italy
Entesar F. Amin Egypt
Caterina Constantinou Greece
Gongchang Guan China
Núbia S. Lobato Brazil
Jun Song China
Goowon Yang South Korea
Hyung Wook Kim South Korea
Yongli Zhan China
Yukiko Kanatani Japan
Liwei Ren relative to Francesca Saba Italy Francesca Saba's profile →
Citations per field
00.5×2.6×
Francesca Saba · 1×
Citations per year

Countries citing papers authored by Liwei Ren

Since Specialization
Citations

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

Fields of papers citing papers by Liwei Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201988
2 201675
3 201948
4 201845
5 201943
6 201942
7 201829
8 201726
9 202225
10 202122
11 201922
12 202122
13 201917
14 201614
15 202211
16 20247
17 20187
18 20105
19 20215
20
[Effect of salvianolic acid B on brain energy metabolism and hydrocephalus of cerebral ischemia in mice at different time].
20074

About Liwei Ren

Liwei Ren is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Immunology, having authored 30 papers that have together received 574 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (9 papers), Hormonal Regulation and Hypertension (6 papers), Pancreatic function and diabetes (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Receptor Mechanisms and Signaling (3 papers), Cholesterol and Lipid Metabolism (3 papers), Traditional Chinese Medicine Analysis (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (168 citations), Cardiology and Cardiovascular Medicine (196 citations), Biological Psychiatry (16 citations), Molecular Biology (282 citations) and Molecular Medicine (20 citations). Liwei Ren has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include A.H. Jan Danser, Estrellita Uijl, Ping Zhan, Zhiwen Yu, Xifeng Lu, Katrina M. Mirabito Colafella, Ziyu Zhou, Richard van Veghel, Don Foster and Qinghua Wang. Their work appears in journals such as Hypertension, Clinical Science, Current Hypertension Reports, Journal of Hypertension and Natural Product Communications.

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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