Jaewoo Lim

1.3k citations
29 papers · 900 · 1 hit paper · h-index 15

Impact in

Papers in

Jaewoo Lim

29 papers receiving 880 citations

Jaewoo Lim's Hit Papers

Evolution of Wearable Devices with Real-Time Disease Monitoring for Personalized Healthcare 2019 · 365 citations
3650+2+4Years since publication100200300

Peers

Jaewoo Lim
Comparison fields: 5 of 133
  • Biomedical Engineering 435
  • Health Informatics 8
  • Microbiology 36
  • Cancer Research 71
  • Molecular Biology 318
Replace Kyeonghye Guk with:
Kyeonghye Guk South Korea
Yantong Liu China
Suhyeon Kim South Korea
E Du China
Víctor Ruiz‐Valdepeñas Montiel Spain
Guopeng Zhang China
Chan Mi Lee South Korea
Elif Bahadır Türkiye
H. Ceren Ates Germany
Tianyu Li China
Jaewoo Lim relative to Kyeonghye Guk South Korea Kyeonghye Guk's profile →
Citations per field
00.5×3.1×
Kyeonghye Guk · 1×
Citations per year

Countries citing papers authored by Jaewoo Lim

Since Specialization
Citations

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

Fields of papers citing papers by Jaewoo Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evolution of Wearable Devices with Real-Time Disease Monitoring for Personalized Healthcare
Hit paper breakdown →
2019365
2 201966
3 202160
4 202246
5 201936
6 202334
7 202133
8 201728
9 202226
10 202024
11 202220
12 202319
13 202216
14 202015
15 202215
16 201914
17 202213
18 202412
19 202211
20 201910

About Jaewoo Lim

Jaewoo Lim is a scholar working on Molecular Biology, Biomedical Engineering, Organic Chemistry, Biomaterials and Materials Chemistry, having authored 29 papers that have together received 900 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (15 papers), Biosensors and Analytical Detection (10 papers), Polydiacetylene-based materials and applications (5 papers), RNA Interference and Gene Delivery (4 papers), MicroRNA in disease regulation (3 papers), Supramolecular Self-Assembly in Materials (3 papers), Bacteriophages and microbial interactions (3 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Biomedical Engineering (435 citations), Health Informatics (8 citations), Microbiology (36 citations), Cancer Research (71 citations) and Molecular Biology (318 citations). Jaewoo Lim has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Eun‐Kyung Lim, Juyeon Jung, Taejoon Kang, Kyeonghye Guk, Seong Uk Son, Soojin Jang, Byunghoon Kang, Seung Beom Seo, Hye Young Son and Yong‐Min Huh. Their work appears in journals such as Biosensors and Bioelectronics, Sensors and Actuators B Chemical, Nanomaterials, Talanta and Chemical Engineering Journal.

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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