Jun Ren

64.1k citations
926 papers · 38.2k indexed · 18 hit papers · h-index 98

Jun Ren

889 papers receiving 37.6k citations

Hit Papers

Inflammation in a...892017202620202023100200300400

Peers

Jun Ren
Comparison fields: 5 of 199
  • Cardiology and Cardiovascular Medicine 7.9k
  • Endocrine and Autonomic Systems 2.3k
  • Aging 517
  • Geriatrics and Gerontology 1.1k
  • Physiology 6.5k
Replace Kenneth Walsh with:
Kenneth Walsh United States
E. Dale Abel United States
Takashi Kadowaki Japan
Issei Komuro Japan
Pál Pacher United States
Bruce E. Kemp Australia
Ryozo Nagai Japan
Csaba Szabó United States
Bart Staels France
Victor Darley‐Usmar United States
Jun Ren relative to Kenneth Walsh United States Kenneth Walsh's profile →
Citations per field
00.5×1.5×2.1×
Kenneth Walsh · 1×
Citations per year

Countries citing papers authored by Jun Ren

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20246
3 20240
4 202419
5 20239
6 202313
7 202313
8 202312
9 202310
10 202363
11 202312
12 20231
13 201916
14
Oridonin overcomes the gemcitabine resistant PANC-1/Gem cells by regulating GST pi and LRP/1 ERK/JNK signalling
20193
15 2017193
16 201342
17 2009104
18 200745
19 20073
20 20042

About Jun Ren

Jun Ren is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Physiology, having authored 926 papers that have together received 38.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (119 papers), Cardiovascular Function and Risk Factors (99 papers), Adipose Tissue and Metabolism (82 papers), Cardiac electrophysiology and arrhythmias (71 papers), Endoplasmic Reticulum Stress and Disease (59 papers), Mitochondrial Function and Pathology (55 papers), Metabolism, Diabetes, and Cancer (53 papers) and Alcohol Consumption and Health Effects (46 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (7.9k citations), Endocrine and Autonomic Systems (2.3k citations) and Aging (517 citations). Jun Ren has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yingmei Zhang, James R. Sowers, Hao Zhou, John J. Greer, Sreejayan Nair, Loren E. Wold, Pingjun Zhu, Rui Guo, Feng Dong and Asli F. Ceylan‐Isik. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Journal of Molecular and Cellular Cardiology, Clinical and Experimental Pharmacology and Physiology, Toxicology Letters and Life Sciences.

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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