Xiaohu Ren

1.4k citations
74 papers · 914 · h-index 17

Impact in

Papers in

Xiaohu Ren

71 papers receiving 907 citations

Peers

Xiaohu Ren
Comparison fields: 5 of 126
  • Health, Toxicology and Mutagenesis 131
  • Health Informatics 12
  • Cancer Research 87
  • Computational Theory and Mathematics 91
  • Infectious Diseases 91
Replace Yongbin Zhang with:
Yongbin Zhang China
Huimin Zhu China
Shangjie Wu China
Yanan Tian China
Ishnoor Kaur India
John P. Rooney United States
Sang Jun Yoon South Korea
Rui Xiong United States
Imran Ali Sweden
Limei Wang China
Xiaohu Ren relative to Yongbin Zhang China Yongbin Zhang's profile →
Citations per field
00.5×3.0×
Yongbin Zhang · 1×
Citations per year

Countries citing papers authored by Xiaohu Ren

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohu Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020144
2 202164
3 201946
4 202045
5 201831
6 202429
7 201929
8 201826
9 201426
10 201723
11 202421
12 201820
13 202118
14 201917
15 201717
16 201316
17 201916
18 202315
19 201513
20 202413

About Xiaohu Ren

Xiaohu Ren is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Physiology, Cancer Research and Pathology and Forensic Medicine, having authored 74 papers that have together received 914 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Epigenetics and DNA Methylation (6 papers), Effects and risks of endocrine disrupting chemicals (6 papers), Heavy Metal Exposure and Toxicity (5 papers), Trace Elements in Health (5 papers), Food Quality and Safety Studies (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (131 citations), Health Informatics (12 citations), Cancer Research (87 citations), Computational Theory and Mathematics (91 citations) and Infectious Diseases (91 citations). Xiaohu Ren has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xifei Yang, Jianjun Liu, Yi Pan, Haiping Zhang, Md. Tofazzal Hossain, Konda Mani Saravanan, Yanjie Wei, Yang Yang, Junxin Li and Jianjun Liu. Their work appears in journals such as Toxicology Letters, Chemosphere, Journal of Hazardous Materials, Food and Chemical Toxicology and LWT.

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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