Lu Ren

2.6k citations
72 papers · 1.6k · h-index 20

Impact in

Papers in

Lu Ren

69 papers receiving 1.5k citations

Peers

Lu Ren
Comparison fields: 5 of 156
  • Rehabilitation 84
  • Health, Toxicology and Mutagenesis 133
  • Insect Science 116
  • Cancer Research 112
  • Cardiology and Cardiovascular Medicine 140
Replace Kyung Eun Kim with:
Kyung Eun Kim South Korea
Fei Wang China
Zhicheng Liu China
Jianhua Ma China
Yuqi Cui China
Do‐Sung Kim South Korea
Ping Huang China
Yuan Zhou China
Wei-Ting Chen Taiwan
Bo Hu China
Lu Ren relative to Kyung Eun Kim South Korea Kyung Eun Kim's profile →
Citations per field
00.5×2×3.4×
Kyung Eun Kim · 1×
Citations per year

Countries citing papers authored by Lu Ren

Since Specialization
Citations

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

Fields of papers citing papers by Lu Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018306
2 2020149
3 200887
4 201774
5 201968
6 202157
7 202049
8 202043
9 201737
10
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation.
200936
11 202033
12 202233
13 200931
14 202128
15 202225
16 201925
17 201622
18 202021
19 201821
20 201019

About Lu Ren

Lu Ren is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Electrical and Electronic Engineering and Endocrinology, Diabetes and Metabolism, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (13 papers), Ion channel regulation and function (11 papers), Advancements in Battery Materials (5 papers), Bayesian Methods and Mixture Models (5 papers), Supercapacitor Materials and Fabrication (5 papers), Receptor Mechanisms and Signaling (3 papers), Mitochondrial Function and Pathology (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Rehabilitation (84 citations), Health, Toxicology and Mutagenesis (133 citations), Insect Science (116 citations), Cancer Research (112 citations) and Cardiology and Cardiovascular Medicine (140 citations). Lu Ren has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lawrence Carin, David B. Dunson, Daifeng Cheng, Nipavan Chiamvimonvat, Phung N. Thai, Utpal Sen, Shandong Yu, Sathnur Pushpakumar, Yongyue Lu and Siyuan Tang. Their work appears in journals such as Scientific Reports, Proceedings of the National Academy of Sciences, Current Biology, Materials Letters and Chinese Medicine.

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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