Changli Mo

1.2k citations
16 papers · 1.0k · h-index 13

Impact in

Papers in

Changli Mo

16 papers receiving 997 citations

Peers

Changli Mo
Comparison fields: 5 of 70
  • Environmental Chemistry 588
  • Pollution 523
  • Health, Toxicology and Mutagenesis 404
  • Geochemistry and Petrology 85
  • Water Science and Technology 167
Replace Ganesh Chandra Saha with:
Ganesh Chandra Saha Bangladesh
Bijun Liu China
Jianhong Xi China
Ann-Kathrin Leuz Switzerland
Muhammad Sadiq Saudi Arabia
Muhammad Mahroz Hussain Pakistan
Subhamoy Bhowmick India
Gabriela Ungureanu Romania
Nadia Martínez‐Villegas Mexico
Tongliang Wu China
Changli Mo relative to Ganesh Chandra Saha Bangladesh Ganesh Chandra Saha's profile →
Citations per field
00.5×1.5×2.5×
Ganesh Chandra Saha · 1×
Citations per year

Countries citing papers authored by Changli Mo

Since Specialization
Citations

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

Fields of papers citing papers by Changli Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2011210
2 2015177
3 2010133
4 201096
5 201093
6 201054
7 202054
8 202244
9 202143
10 202228
11 202127
12
[Pollution characteristics of antimony, arsenic and mercury in human hair at Xikuangshan antimony mining area and Guiyang City, China].
200924
13 202213
14 20238
15 20224
16 20241

About Changli Mo

Changli Mo is a scholar working on Water Science and Technology, Health, Toxicology and Mutagenesis, Inorganic Chemistry, Environmental Chemistry and Industrial and Manufacturing Engineering, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (7 papers), Adsorption and biosorption for pollutant removal (7 papers), Metal-Organic Frameworks: Synthesis and Applications (7 papers), Arsenic contamination and mitigation (6 papers), Heavy metals in environment (4 papers), Chemical Synthesis and Characterization (4 papers), Mercury impact and mitigation studies (2 papers) and Recycling and Waste Management Techniques (1 paper). The work is most often cited by research in Environmental Chemistry (588 citations), Pollution (523 citations), Health, Toxicology and Mutagenesis (404 citations), Geochemistry and Petrology (85 citations) and Water Science and Technology (167 citations). Changli Mo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Fengchang Wu, Zhiyou Fu, Bijun Liu, Qiujing Deng, Haiqing Liao, Jing Zhu, Warren T. Corns, Bin Chen, John P. Giesy and Wei Meng. Their work appears in journals such as Journal of Solid State Chemistry, Microchemical Journal, The Science of The Total Environment, Carbon letters and SSRN Electronic Journal.

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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