Meng Yan

721 citations
44 papers · 592 · h-index 15

Impact in

Papers in

Meng Yan

40 papers receiving 588 citations

Peers

Meng Yan
Comparison fields: 5 of 76
  • Pollution 145
  • Industrial and Manufacturing Engineering 65
  • Health, Toxicology and Mutagenesis 83
  • Materials Chemistry 259
  • Environmental Chemistry 52
Replace Olivier Taché with:
Olivier Taché France
William Limm United States
T. Nakashima Japan
Fuchun Liu China
Calin David Spain
Norihisa Chitose Japan
A. Michálková United States
S. G. Nikitenko Russia
Michael Schwarzer Germany
Meng Yan relative to Olivier Taché France Olivier Taché's profile →
Citations per field
00.5×5.5×
Olivier Taché · 1×
Citations per year

Countries citing papers authored by Meng Yan

Since Specialization
Citations

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

Fields of papers citing papers by Meng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202186
2 202237
3 202233
4 201131
5 201230
6 201729
7 201427
8 201125
9 202021
10 202121
11 201318
12 201917
13 201416
14 201415
15 202315
16 201314
17 202014
18 201113
19 201213
20 201312

About Meng Yan

Meng Yan is a scholar working on Materials Chemistry, Health, Toxicology and Mutagenesis, Organic Chemistry, Pollution and Environmental Chemistry, having authored 44 papers that have together received 592 indexed citations. Recurring topics across this work include Graphene research and applications (9 papers), Per- and polyfluoroalkyl substances research (7 papers), Toxic Organic Pollutants Impact (7 papers), Fullerene Chemistry and Applications (6 papers), Advanced Chemical Physics Studies (4 papers), Carbon Nanotubes in Composites (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers) and Surface Modification and Superhydrophobicity (3 papers). The work is most often cited by research in Pollution (145 citations), Industrial and Manufacturing Engineering (65 citations), Health, Toxicology and Mutagenesis (83 citations), Materials Chemistry (259 citations) and Environmental Chemistry (52 citations). Meng Yan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhigang Wang, Paul K.S. Lam, Ruiqin Zhang, Hui Li, Kai Zhang, Chuanjin Tian, Xing Dai, Yuan Liu, Mingxing Jin and Yuefei Ruan. Their work appears in journals such as Environmental Science & Technology, Physical Chemistry Chemical Physics, Nanoscale, Chemical Physics Letters and Applied Surface 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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