Xiaowei Ren

2.1k citations
68 papers · 1.5k · 1 hit paper · h-index 19

Impact in

Papers in

Xiaowei Ren

61 papers receiving 1.5k citations

Xiaowei Ren's Hit Papers

Impact of meteorological factors on the COVID-19 transmission: A multi-city study in China 2020 · 411 citations
4110+2+4Years since publication100200300400

Peers

Xiaowei Ren
Comparison fields: 5 of 140
  • Modeling and Simulation 301
  • Health, Toxicology and Mutagenesis 312
  • Obstetrics and Gynecology 77
  • Global and Planetary Change 251
  • Reproductive Medicine 84
Replace Massimo Borelli with:
Massimo Borelli Italy
Yu Jiang China
Qiuyue Ma China
Parham Habibzadeh Iran
Yonghui Zhang China
Pi Guo China
Desheng Huang China
Yinan Zheng United States
Mingjuan Jin China
Cheng Li China
Xiaowei Ren relative to Massimo Borelli Italy Massimo Borelli's profile →
Citations per field
00.5×1.5×1.8×
Massimo Borelli · 1×
Citations per year

Countries citing papers authored by Xiaowei Ren

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Impact of meteorological factors on the COVID-19 transmission: A multi-city study in China
Hit paper breakdown →
2020411
2 2018148
3 2008121
4 201360
5 202050
6 201146
7 201846
8 201741
9 201536
10 201636
11 202333
12 201731
13 201631
14 201827
15 201324
16 201823
17 201622
18 201521
19 202418
20 201818

About Xiaowei Ren

Xiaowei Ren is a scholar working on Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, Infectious Diseases, Pollution and Epidemiology, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (8 papers), Endometriosis Research and Treatment (4 papers), Energy and Environment Impacts (4 papers), Climate Change and Health Impacts (4 papers), Viral Infections and Vectors (4 papers), Mosquito-borne diseases and control (4 papers), Atmospheric chemistry and aerosols (3 papers) and Air Quality Monitoring and Forecasting (3 papers). The work is most often cited by research in Modeling and Simulation (301 citations), Health, Toxicology and Mutagenesis (312 citations), Obstetrics and Gynecology (77 citations), Global and Planetary Change (251 citations) and Reproductive Medicine (84 citations). Xiaowei Ren has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Juansheng Li, Yana Bai, Xiaobin Hu, Ji Zhou, Bin Luo, Xiaotao He, Jun Yan, Yanjun Shi, Xiaocheng Xu and Xiuxia Zhang. Their work appears in journals such as Acta Tropica, Chemosphere, Alcohol, Fertility and Sterility and Investigative Ophthalmology & Visual Science.

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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