Se‐Hwan Paek

3.0k citations
87 papers · 2.4k indexed · 1 hit paper · h-index 26
Topics
Biosensors and Analytical Detection (31 papers)Advanced Biosensing Techniques and Applications (26 papers)Advanced biosensing and bioanalysis techniques (24 papers)

In The Last Decade

Se‐Hwan Paek

87 papers receiving 2.4k citations

Hit Papers

CRISPR-Cas12a-Based Nucleic Acid Amplification-Free DNA B...20202026202220242020100200300

Peers

Se‐Hwan Paek
Comparison fields: 5 of 126
  • Molecular Biology 1.6k
  • Biomedical Engineering 1.3k
  • Electrical and Electronic Engineering 410
  • Radiology, Nuclear Medicine and Imaging 211
  • Materials Chemistry 157
Replace Avraham Rasooly with:
Avraham Rasooly United States
Zhifeng Shao United States
Stephen Hearty Ireland
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Yong‐Beom Shin South Korea
Marta Bally Sweden
Dragana Spasić Belgium
Kuangwen Hsieh United States
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Se‐Hwan Paek relative to Avraham Rasooly United States Avraham Rasooly's profile →
Citations per field
00.5×1.5×2.1×
Avraham Rasooly · 1×
Citations per year

Countries citing papers authored by Se‐Hwan Paek

Since Specialization
Citations

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

Fields of papers citing papers by Se‐Hwan Paek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Se‐Hwan Paek. 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 Se‐Hwan Paek. The network helps show where Se‐Hwan Paek may publish in the future.

Co-authorship network of co-authors of Se‐Hwan Paek

This figure shows the co-authorship network connecting the top 25 collaborators of Se‐Hwan Paek. A scholar is included among the top collaborators of Se‐Hwan Paek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Se‐Hwan Paek. Se‐Hwan Paek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 28
3 43
4 22
5 8
6 22
7 12
8 4
9 169
10
Production of Recombinant Proteins as Immuno-Analytical Markers of Genetically-Modified Organisms (GMO)
2
11
Immunosensors for Point-of-Care Testing
6
12 41
13 41
14 173
15 91
16
Single-Chain Fv Fragment of Catalytic Antibody 4f4f with Glycosidase Activity: Design, Expression, and Purification
2
17 7
18 3
19 2
20 10

About Se‐Hwan Paek

Se‐Hwan Paek is a scholar working on Biophysics, Biomedical Engineering and Bioengineering, having authored 87 papers that have together received 2.4k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (31 papers), Advanced Biosensing Techniques and Applications (26 papers) and Advanced biosensing and bioanalysis techniques (24 papers). The work is most often cited by research in Biomedical Engineering (1.3k citations), Bioengineering (148 citations) and Molecular Biology (1.6k citations). Se‐Hwan Paek has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Joung‐Hwan Cho, Eui-Hwan Paek, Il-Hoon Cho, Young‐Kee Kim, Minkyu Shin, Jin‐Ha Choi, Sung-Min Seo, Joungpyo Lim, Seung Hwa Lee and Willfried Schramm. Their work appears in journals such as Nano Letters, PLoS ONE 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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