Seoho Lee

919 citations
25 papers · 747 · h-index 12

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

23 papers receiving 729 citations

Peers

Seoho Lee
Comparison fields: 5 of 105
  • Biomedical Engineering 517
  • Infectious Diseases 128
  • Molecular Biology 349
  • Biophysics 25
  • Bioengineering 24
Replace Dakota O’Dell with:
Dakota O’Dell United States
Matthew Mancuso United States
Weili Chen United States
Lijuan Yin China
Julia Zapatero-Rodríguez Ireland
Giorgio Gianini Morbioli United States
Jane T. Babbitt United States
Haiwang Wang China
Carolin Müller Germany
Christopher Jordon Lambert United States
Seoho Lee relative to Dakota O’Dell United States Dakota O’Dell's profile →
Citations per field
00.5×1.5×2×2.3×
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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014163
2 2014159
3 201691
4 201677
5 201755
6 201240
7 201630
8 201627
9 201621
10 202418
11 201716
12 201512
13 202510
14 20247
15 20185
16 20245
17 20233
18 20252
19 20172
20 20171

About Seoho Lee

Seoho Lee is a scholar working on Bioengineering, Biomedical Engineering, Infectious Diseases, Molecular Biology and Signal Processing, having authored 25 papers that have together received 747 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (7 papers), Advanced biosensing and bioanalysis techniques (4 papers), SARS-CoV-2 detection and testing (3 papers), Analytical Chemistry and Sensors (3 papers), Gut microbiota and health (3 papers), Mobile Health and mHealth Applications (2 papers), Listeria monocytogenes in Food Safety (1 paper) and Bladder and Urothelial Cancer Treatments (1 paper). The work is most often cited by research in Biomedical Engineering (517 citations), Infectious Diseases (128 citations), Molecular Biology (349 citations), Biophysics (25 citations) and Bioengineering (24 citations). Seoho Lee has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include David Erickson, Saurabh Mehta, Vlad Oncescu, Dakota O’Dell, Abdurrahman Gümüş, Jiang Li, Balaji Srinivasan, Matthew Mancuso, Susannah Colt and Jess C Hohenstein. Their work appears in journals such as Lab on a Chip, Biosensors and Bioelectronics, PLoS ONE, Analytica Chimica Acta and Advanced Science.

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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