Meng Ren

3.0k citations
89 papers · 2.2k · h-index 26

Impact in

Papers in

Meng Ren

82 papers receiving 2.2k citations

Peers

Meng Ren
Comparison fields: 5 of 153
  • Health, Toxicology and Mutagenesis 1.2k
  • Pollution 300
  • Obstetrics and Gynecology 175
  • Environmental Engineering 262
  • Speech and Hearing 122
Replace Naijun Tang with:
Naijun Tang China
Hui Hu United States
Scott A. Venners United States
Hortensia Moreno-Macías Mexico
Charlotte Vanpoucke Belgium
Bryan A. Bassig United States
Donghai Liang United States
Huanhuan Zhang China
Marie Pedersen Denmark
H‐Erich Wichmann Germany
Meng Ren relative to Naijun Tang China Naijun Tang's profile →
Citations per field
00.5×1.5×1.8×
Naijun Tang · 1×
Citations per year

Countries citing papers authored by Meng Ren

Since Specialization
Citations

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

Fields of papers citing papers by Meng Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017308
2 2016159
3 2013120
4 2020112
5 201892
6 202090
7 201975
8 202161
9 201560
10 201858
11 201753
12 201349
13 201844
14 201644
15 200743
16 202042
17 202237
18 200834
19 201734
20 201732

About Meng Ren

Meng Ren is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Surgery, Pediatrics, Perinatology and Child Health and Oncology, having authored 89 papers that have together received 2.2k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (20 papers), Climate Change and Health Impacts (20 papers), Birth, Development, and Health (11 papers), Energy and Environment Impacts (6 papers), Pancreatic function and diabetes (5 papers), Colorectal Cancer Surgical Treatments (5 papers), Colorectal and Anal Carcinomas (4 papers) and Gestational Diabetes Research and Management (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.2k citations), Pollution (300 citations), Obstetrics and Gynecology (175 citations), Environmental Engineering (262 citations) and Speech and Hearing (122 citations). Meng Ren has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Cunrui Huang, Huanhuan Zhang, Hao Xiang, Yisi Liu, Liqiao Tian, Yuanan Lu, Yuanyuan Chu, Na Li, Luke D. Knibbs and Zongfu Mao. Their work appears in journals such as The Science of The Total Environment, Acta Pharmacologica Sinica, Techniques in Coloproctology, Environment International and International Journal of Environmental Research and 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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