Seoho Lee

875 citations
26 papers · 559 · h-index 10

Impact in

    • Biosensors and Analytical Detection
    • Microfluidic and Capillary Electrophoresis Applications
    • Advanced Chemical Sensor Technologies
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • SARS-CoV-2 detection and testing

Papers in

Seoho Lee

21 papers receiving 546 citations

Peers

Seoho Lee
Comparison fields: 5 of 106
  • Biomedical Engineering 398
  • Infectious Diseases 91
  • Molecular Biology 259
  • Biophysics 21
  • Bioengineering 19
Replace Dakota O’Dell with:
Dakota O’Dell United States
Lijuan Yin China
Giorgio Gianini Morbioli United States
Thiago Mazzu-Nascimento Brazil
Timothy M. Blicharz United States
Haiwang Wang China
David L. Danley United States
Julia Zapatero-Rodríguez Ireland
Helen V. Hsieh United States
Sang Hoon Kim South Korea
Seoho Lee relative to Dakota O’Dell United States Dakota O’Dell's profile →
Citations per field
00.5×1.5×
Dakota O’Dell · 1×
Citations per year

Countries citing papers authored by Seoho Lee

Since Specialization
Citations

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

Fields of papers citing papers by Seoho Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014143
2 2014141
3 201667
4 201751
5 201233
6 201629
7 201624
8 201616
9 201512
10 201712
11 20249
12 20256
13 20184
14 20252
15 20242
16 20172
17 20232
18 20231
19 20171
20 20241

About Seoho Lee

Seoho Lee is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Electrical and Electronic Engineering and Infectious Diseases, having authored 26 papers that have together received 559 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), SARS-CoV-2 detection and testing (3 papers), Mobile Health and mHealth Applications (3 papers), Analytical Chemistry and Sensors (3 papers), Diet and metabolism studies (2 papers), CAR-T cell therapy research (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Biomedical Engineering (398 citations), Infectious Diseases (91 citations), Molecular Biology (259 citations), Biophysics (21 citations) and Bioengineering (19 citations). Seoho Lee has collaborated with scholars based in United States, South Korea and Belgium. Frequent co-authors include David Erickson, Saurabh Mehta, Vlad Oncescu, Dakota O’Dell, Abdurrahman Gümüş, Jiang Li, Balaji Srinivasan, Matthew Mancuso, Jess Hohenstein and Susannah Colt. Their work appears in journals such as Lab on a Chip, Cancer Research, Biosensors and Bioelectronics, Scientific Reports and Nature Communications.

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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