Jae‐Chul Pyun

4.5k citations
203 papers · 4.0k · h-index 32

Impact in

Papers in

Jae‐Chul Pyun

198 papers receiving 3.9k citations

Peers

Jae‐Chul Pyun
Comparison fields: 5 of 122
  • Bioengineering 300
  • Electrochemistry 261
  • Biomedical Engineering 1.6k
  • Radiology, Nuclear Medicine and Imaging 610
  • Molecular Biology 1.8k
Replace George B. Sigal with:
George B. Sigal United States
Quan Cheng United States
Marcella Chiari Italy
Changill Ban South Korea
Changqing Yi China
Dejian Zhou United Kingdom
Tatsuro Endo Japan
Qun Huo United States
Juraj Švitel Slovakia
Seung Soo Oh South Korea
Jae‐Chul Pyun relative to George B. Sigal United States George B. Sigal's profile →
Citations per field
00.5×5×10×13.4×
George B. Sigal · 1×
Citations per year

Countries citing papers authored by Jae‐Chul Pyun

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Chul Pyun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Chul Pyun. 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 Jae‐Chul Pyun. The network helps show where Jae‐Chul Pyun may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 203 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005244
2 2005150
3 2013126
4 200593
5 201485
6 201584
7 201475
8 199873
9 201969
10 201458
11 200857
12 200656
13 202156
14 200953
15 200652
16 201449
17 201946
18 201043
19 200841
20 201138

About Jae‐Chul Pyun

Jae‐Chul Pyun is a scholar working on Molecular Biology, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Spectroscopy, having authored 203 papers that have together received 4.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (51 papers), Advanced biosensing and bioanalysis techniques (51 papers), Advanced Biosensing Techniques and Applications (37 papers), Biosensors and Analytical Detection (30 papers), Mass Spectrometry Techniques and Applications (26 papers), Neuroscience and Neural Engineering (19 papers), Analytical Chemistry and Sensors (18 papers) and Electrochemical sensors and biosensors (16 papers). The work is most often cited by research in Bioengineering (300 citations), Electrochemistry (261 citations), Biomedical Engineering (1.6k citations), Radiology, Nuclear Medicine and Imaging (610 citations) and Molecular Biology (1.8k citations). Jae‐Chul Pyun has collaborated with scholars based in South Korea, Germany and United States. Frequent co-authors include Min‐Jung Kang, Joachim Jose, Young Wook Chang, Min Park, J.W. Chung, Rita Bernhardt, Ga-Yeon Lee, Gu Yoo, Jong Min Park and Ji-Hong Bong. Their work appears in journals such as Biosensors and Bioelectronics, Enzyme and Microbial Technology, BioChip Journal, Sensors and Actuators B Chemical and Analytica Chimica Acta.

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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