Jun Kim

2.2k citations
30 papers · 1.9k · 1 hit paper · h-index 20

Impact in

Papers in

Jun Kim

29 papers receiving 1.9k citations

Hit Papers

CO2capture and conversion using Mg-MOF-74 prepared by a sonochemical method 2011 · 503 citations
5030+5+10Years since publication100200300400500

Peers

Jun Kim
Comparison fields: 5 of 77
  • Inorganic Chemistry 891
  • Process Chemistry and Technology 178
  • Water Science and Technology 388
  • Catalysis 130
  • Mechanical Engineering 691
Replace Jianglin Hu with:
Jianglin Hu China
Margandan Bhagiyalakshmi India
Dong Kyu Yoo South Korea
Songbo He China
Aamir Hanif Hong Kong
Beena Tyagi India
Changshen Ye China
Nettem V. Choudary India
Huacong Zhou China
Xianghai Guo China
Jun Kim relative to Jianglin Hu China Jianglin Hu's profile →
Citations per field
00.5×2.5×
Jianglin Hu · 1×
Citations per year

Countries citing papers authored by Jun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CO2capture and conversion using Mg-MOF-74 prepared by a sonochemical method
Hit paper breakdown →
2011503
2 2010197
3 2011122
4 2011112
5 2013107
6 2018101
7 202099
8 201976
9 201871
10 201270
11 201263
12 200762
13 201262
14 201653
15 201137
16 201929
17 201328
18 201122
19 201919
20 201119

About Jun Kim

Jun Kim is a scholar working on Water Science and Technology, Inorganic Chemistry, Biomedical Engineering, Mechanical Engineering and Materials Chemistry, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (10 papers), Membrane Separation Technologies (7 papers), Membrane-based Ion Separation Techniques (6 papers), Carbon Dioxide Capture Technologies (6 papers), Membrane Separation and Gas Transport (5 papers), Advanced oxidation water treatment (3 papers), Zeolite Catalysis and Synthesis (3 papers) and Iron oxide chemistry and applications (2 papers). The work is most often cited by research in Inorganic Chemistry (891 citations), Process Chemistry and Technology (178 citations), Water Science and Technology (388 citations), Catalysis (130 citations) and Mechanical Engineering (691 citations). Jun Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Wha‐Seung Ahn, Seung-Tae Yang, Hye-Young Cho, Chao Chen, Qilin Li, Amit Jain, Rafael Verduzco, Kuichang Zuo, Won Yong Kim and W. Shane Walker. Their work appears in journals such as Environmental Science & Technology, Fuel, Materials Letters, Chemical Engineering Journal and Water Air & Soil 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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