Xiaobin Ren

692 citations
28 papers · 533 · h-index 12

Impact in

Papers in

Xiaobin Ren

27 papers receiving 526 citations

Peers

Xiaobin Ren
Comparison fields: 5 of 86
  • Health, Toxicology and Mutagenesis 89
  • Periodontics 26
  • Cancer Research 68
  • Genetics 72
  • Endocrine and Autonomic Systems 16
Replace Paola Franceschetti with:
Paola Franceschetti Italy
Ying Chang China
Caroline Lourenço de Lima Brazil
Giusy Daniela Albano Italy
Shaofang Cai China
Mariana Salgado‐Bustamante Mexico
Xin Su China
Ramzi Lakhdar Tunisia
Mingjiang Liu China
Xiaobin Ren relative to Paola Franceschetti Italy Paola Franceschetti's profile →
Citations per field
00.5×10×14×
Paola Franceschetti · 1×
Citations per year

Countries citing papers authored by Xiaobin Ren

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011151
2 2011112
3 202031
4 201130
5 202127
6 201722
7 202021
8 202415
9 201314
10 202414
11 201013
12 202211
13 201910
14 201710
15 20249
16 20167
17 20236
18 20246
19 20245
20 20235

About Xiaobin Ren

Xiaobin Ren is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Periodontics and Epidemiology, having authored 28 papers that have together received 533 indexed citations. Recurring topics across this work include Oral microbiology and periodontitis research (4 papers), Bone Metabolism and Diseases (4 papers), Inflammatory mediators and NSAID effects (3 papers), Traditional Chinese Medicine Analysis (2 papers), NF-κB Signaling Pathways (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Cancer-related molecular mechanisms research (2 papers) and Plant-based Medicinal Research (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (89 citations), Periodontics (26 citations), Cancer Research (68 citations), Genetics (72 citations) and Endocrine and Autonomic Systems (16 citations). Xiaobin Ren has collaborated with scholars based in China and Thailand. Frequent co-authors include Maode Lai, Xiaobo Li, Yimin Zhu, Fangying Xu, Sihua Peng, Mingzhu Zhang, Hongbing He, Zhangping Yang, Qiang Wang and Xuhui Zhang. Their work appears in journals such as Oral Diseases, International Immunopharmacology, Evidence-based Complementary and Alternative Medicine, Journal of Inflammation Research and Frontiers in Public Health.

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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