Xiaohu Ren

1.4k citations
75 papers · 1.0k · h-index 16

Impact in

Papers in

Xiaohu Ren

72 papers receiving 1000 citations

Peers

Xiaohu Ren
Comparison fields: 5 of 126
  • Health, Toxicology and Mutagenesis 140
  • Health Informatics 13
  • Infectious Diseases 120
  • Cancer Research 91
  • Computational Theory and Mathematics 95
Replace John S. House with:
John S. House United States
Huimin Zhu China
Shangjie Wu China
Partho Sen Sweden
Yanan Tian China
Guanyu Wang China
Ren‐Jun Hsu Taiwan
Jinghong Chen China
Rui Xiong China
Limei Wang China
Xiaohu Ren relative to John S. House United States John S. House's profile →
Citations per field
00.5×2×3×3.8×
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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 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020148
2 202164
3 202049
4 201945
5 202040
6 201834
7 202432
8 201430
9 201930
10 201827
11 201725
12 201822
13 202121
14 201719
15 201917
16 202317
17 201916
18 201316
19 201414
20 202414

About Xiaohu Ren

Xiaohu Ren is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Cancer Research, Physiology and Pathology and Forensic Medicine, having authored 75 papers that have together received 1.0k 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 (5 papers), Trace Elements in Health (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Mitochondrial Function and Pathology (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Heavy Metal Exposure and Toxicity (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (140 citations), Health Informatics (13 citations), Infectious Diseases (120 citations), Cancer Research (91 citations) and Computational Theory and Mathematics (95 citations). Xiaohu Ren has collaborated with scholars based in China, United States and Lebanon. Frequent co-authors include Xifei Yang, Haiping Zhang, Jianjun Liu, Dr. Md. Tofazzal Hossain, Yanjie Wei, Konda Mani Saravanan, Yi Feng Pan, Yang Yang, Jianjun Liu and Junxin Li. Their work appears in journals such as Toxicology Letters, Food and Chemical Toxicology, Chemosphere, LWT and Biochemical and Biophysical Research Communications.

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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