Jun Luo

6.5k citations
130 papers · 5.5k · 1 hit paper · h-index 47

Impact in

Papers in

Jun Luo

123 papers receiving 5.4k citations

Jun Luo's Hit Papers

MIL series of metal organic frameworks (MOFs) as novel adsorbents for heavy metals in water: A review 2022 · 200 citations
2000+1+2Years since publication50100150200

Peers

Jun Luo
Comparison fields: 5 of 138
  • Pollution 2.5k
  • Environmental Chemistry 1.5k
  • Health, Toxicology and Mutagenesis 2.0k
  • Electrochemistry 445
  • Analytical Chemistry 655
Replace Anita K. Patlolla with:
Anita K. Patlolla United States
Abdul Qadir Shah Pakistan
Zhaoguang Yang China
Nusrat Jalbani Pakistan
Jameel Ahmed Baig Pakistan
Rainer Wennrich Germany
R. Rubio Spain
Muhammad Balal Arain Pakistan
Ghulam Abbas Kandhro Pakistan
Jun Luo relative to Anita K. Patlolla United States Anita K. Patlolla's profile →
Citations per field
00.5×1.5×1.9×
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 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011357
2 2014326
3
MIL series of metal organic frameworks (MOFs) as novel adsorbents for heavy metals in water: A review
Hit paper breakdown →
2022200
4 2010150
5 2014134
6 2021113
7 2015109
8 2014105
9 2013104
10 2014103
11 201697
12 201488
13 201488
14 201686
15 201086
16 201682
17 200880
18 201780
19 201478
20 201677

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 130 papers that have together received 5.5k indexed citations. Recurring topics across this work include Heavy metals in environment (44 papers), Arsenic contamination and mitigation (29 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 Geochemistry and Elemental Analysis (9 papers). The work is most often cited by research in Pollution (2.5k citations), Environmental Chemistry (1.5k citations), Health, Toxicology and Mutagenesis (2.0k citations), Electrochemistry (445 citations) and Analytical Chemistry (655 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, Hongbo Li, Dong‐Xing Guan, 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, Analytical Chemistry and Environmental Pollution.

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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