Xiaobin Ren

661 citations
28 papers · 497 · h-index 11

Impact in

Papers in

Xiaobin Ren

26 papers receiving 493 citations

Peers

Xiaobin Ren
Comparison fields: 5 of 92
  • Health, Toxicology and Mutagenesis 86
  • Cancer Research 89
  • Periodontics 23
  • Genetics 111
  • Pharmacology 24
Replace Vettriselvi Venkatesan with:
Vettriselvi Venkatesan India
Katarzyna Barczak Poland
Xin Su China
Ying Chang China
Jason Y.Y. Wong United States
Mariana Salgado‐Bustamante Mexico
Bettina Fischer United Kingdom
Alexia Vinel France
Esin Aşan Türkiye
Keda Yang China
Xiaobin Ren relative to Vettriselvi Venkatesan India Vettriselvi Venkatesan's profile →
Citations per field
00.5×1.5×2.4×
Vettriselvi Venkatesan · 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 2011150
2 2011102
3 202030
4 201128
5 202124
6 201722
7 202020
8 201314
9 201013
10 202412
11 202410
12 201710
13 201910
14 202210
15 20167
16 20246
17 20235
18 20234
19 20244
20 20244

About Xiaobin Ren

Xiaobin Ren is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Periodontics and Pharmacology, having authored 28 papers that have together received 497 indexed citations. Recurring topics across this work include Oral microbiology and periodontitis research (5 papers), Bone Metabolism and Diseases (5 papers), NF-κB Signaling Pathways (3 papers), Cancer-related molecular mechanisms research (3 papers), Inflammatory mediators and NSAID effects (3 papers), Heavy Metal Exposure and Toxicity (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (86 citations), Cancer Research (89 citations), Periodontics (23 citations), Genetics (111 citations) and Pharmacology (24 citations). Xiaobin Ren has collaborated with scholars based in China and Thailand. Frequent co-authors include Yimin Zhu, Sihua Peng, Fangying Xu, Maode Lai, Xiaobo Li, Mingzhu Zhang, Hongbing He, Qiang Wang, Zhangping Yang and Xuan Zhang. Their work appears in journals such as International Immunopharmacology, Oral Diseases, Journal of Inflammation Research, Evidence-based Complementary and Alternative Medicine and Scientific Reports.

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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