Jun Luo

6.7k citations
135 papers · 5.8k · 1 hit paper · h-index 48

Impact in

Papers in

Jun Luo

127 papers receiving 5.8k citations

Jun Luo's Hit Papers

MIL series of metal organic frameworks (MOFs) as novel adsorbents for heavy metals in water: A review 2022 · 219 citations
2190+1+2Years since publication50100150200

Peers

Jun Luo
Comparison fields: 5 of 138
  • Pollution 2.6k
  • Environmental Chemistry 1.6k
  • Health, Toxicology and Mutagenesis 2.0k
  • Electrochemistry 466
  • Analytical Chemistry 685
Replace Anita K. Patlolla with:
Anita K. Patlolla United States
Abdul Qadir Shah Pakistan
Zhaoguang Yang China
Rainer Wennrich Germany
Muhammad Balal Arain Pakistan
R. Rubio Spain
Patricia Smichowski Argentina
Yue Gao China
Anthony J. Bednar United States
Jun Luo relative to Anita K. Patlolla United States Anita K. Patlolla's profile →
Citations per field
00.5×1.5×1.8×
Anita K. Patlolla · 1×
Citations per year

Countries citing papers authored by Jun Luo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011362
2 2014341
3
MIL series of metal organic frameworks (MOFs) as novel adsorbents for heavy metals in water: A review
Hit paper breakdown →
2022219
4 2010159
5 2014138
6 2021117
7 2015115
8 2014113
9 2016108
10 2013105
11 2014105
12 201495
13 201693
14 201491
15 201090
16 201490
17 201483
18 201683
19 201682
20 200882

About Jun Luo

Jun Luo is a scholar working on Pollution, Environmental Chemistry, Health, Toxicology and Mutagenesis, Analytical Chemistry and Geochemistry and Petrology, having authored 135 papers that have together received 5.8k indexed citations. Recurring topics across this work include Heavy metals in environment (44 papers), Arsenic contamination and mitigation (30 papers), Heavy Metal Exposure and Toxicity (24 papers), Analytical chemistry methods development (15 papers), Electrochemical Analysis and Applications (14 papers), Analytical Chemistry and Sensors (11 papers), Toxic Organic Pollutants Impact (10 papers) and Mercury impact and mitigation studies (9 papers). The work is most often cited by research in Pollution (2.6k citations), Environmental Chemistry (1.6k citations), Health, Toxicology and Mutagenesis (2.0k citations), Electrochemistry (466 citations) and Analytical Chemistry (685 citations). Jun Luo has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Q. Lena, Hao Zhang, Hongjie Sun, Dong‐Xing Guan, Hongbo Li, William Davison, Jinghua Ren, Xin Hu, Bala Rathinasabapathi and Paul N. Williams. Their work appears in journals such as Environmental Science & Technology, Journal of Hazardous Materials, Chemosphere, Environmental Pollution and Analytical Chemistry.

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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