Jaemoon Jun

31 papers receiving 1.7k citations

Peers

Jaemoon Jun
Comparison fields: 5 of 73
  • Bioengineering 338
  • Polymers and Plastics 521
  • Electronic, Optical and Magnetic Materials 502
  • Electrical and Electronic Engineering 1.2k
  • Electrochemistry 104
Replace Gang Xiao with:
Gang Xiao China
Chakrit Sriprachuabwong Thailand
Julio M. D’Arcy United States
Jae‐Min Jeong South Korea
Bo Weng China
Robert Brooke Sweden
Christina O. Baker United States
Viktor Gueskine Sweden
S. K. Geetha India
Kiesar Sideeq Bhat South Korea
Jaemoon Jun relative to Gang Xiao China Gang Xiao's profile →
Citations per field
00.5×2×3.2×
Gang Xiao · 1×
Citations per year

Countries citing papers authored by Jaemoon Jun

Since Specialization
Citations

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

Fields of papers citing papers by Jaemoon Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017187
2 2015117
3 2014115
4 201788
5 201386
6 201586
7 201675
8 201670
9 201762
10 201360
11 201958
12 201755
13 201455
14 201452
15 202051
16 201551
17 201450
18 201846
19 201843
20 201437

About Jaemoon Jun

Jaemoon Jun is a scholar working on Bioengineering, Polymers and Plastics, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Electrochemistry, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Conducting polymers and applications (17 papers), Analytical Chemistry and Sensors (12 papers), Gas Sensing Nanomaterials and Sensors (10 papers), Electrochemical sensors and biosensors (9 papers), Supercapacitor Materials and Fabrication (8 papers), Advanced biosensing and bioanalysis techniques (6 papers), Advancements in Battery Materials (5 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). The work is most often cited by research in Bioengineering (338 citations), Polymers and Plastics (521 citations), Electronic, Optical and Magnetic Materials (502 citations), Electrical and Electronic Engineering (1.2k citations) and Electrochemistry (104 citations). Jaemoon Jun has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Jun Seop Lee, Jyongsik Jang, Jyongsik Jang, Dong Hoon Shin, Sung Gun Kim, Jungkyun Oh, Wonjoo Na, Wooyoung Kim, Jin Wook Park and Gyeongseop Lee. Their work appears in journals such as Journal of Materials Chemistry A, ACS Applied Materials & Interfaces, Nanoscale, RSC Advances and ACS Nano.

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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