Young Shik Shin

4.0k citations
33 papers · 3.2k indexed · 1 hit paper · h-index 19

Young Shik Shin

32 papers receiving 3.1k citations

Hit Papers

A 160-kilobit molecular electronic memory patterned at 10...1.0k20072026201320192505007501000

Peers

Young Shik Shin
Comparison fields: 5 of 105
  • Biomedical Engineering 1.6k
  • Bioengineering 170
  • Spectroscopy 329
  • Organic Chemistry 485
  • Electrical and Electronic Engineering 961
Replace Darryl J. Bornhop with:
Darryl J. Bornhop United States
Matthew R. Lockett United States
Walter J. Akers United States
Christopher T. Culbertson United States
Juan B. Blanco‐Canosa United States
Angelique Y. Louie United States
Haridas E. Pudavar United States
Yong Fan China
Ming Da Lee Singapore
Jason McNeill United States
Young Shik Shin relative to Darryl J. Bornhop United States Darryl J. Bornhop's profile →
Citations per field
00.5×4.4×
Darryl J. Bornhop · 1×
Citations per year

Countries citing papers authored by Young Shik Shin

Since Specialization
Citations

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

Fields of papers citing papers by Young Shik Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Shik Shin. 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 Young Shik Shin. The network helps show where Young Shik Shin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20207
3 201579
4 201458
5 201343
6 20125
7 20121
8 201267
9 201147
10 201041
11 201075
12 201036
13
A 160-kilobit molecular electronic memory patterned at 1011 bits per square centimetrebreakdown →
20071037
14 200757
15 20060
16 2006393
17 2005413
18
Quantum Wire SOI MOSFET with Sub-band Effects Using Conventional Photolithography and Its Application to Photodetector
20044
19 19971
20 19845

About Young Shik Shin

Young Shik Shin is a scholar working on Biophysics, Bioengineering and Biomedical Engineering, having authored 33 papers that have together received 3.2k indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers), Microfluidic and Bio-sensing Technologies (4 papers), Medical Imaging Techniques and Applications (3 papers), Single-cell and spatial transcriptomics (3 papers), Molecular Junctions and Nanostructures (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Advanced Biosensing Techniques and Applications (3 papers). The work is most often cited by research in Biomedical Engineering (1.6k citations), Bioengineering (170 citations) and Spectroscopy (329 citations). Young Shik Shin has collaborated with scholars based in United States, South Korea and Israel. Frequent co-authors include James R. Heath, Yuri L. Bunimovich, Hsian‐Rong Tseng, J. Fraser Stoddart, Ezekiel Johnston‐Halperin, Erica DeIonno, Ke Xu, Bonnie A. Sheriff, Jang Wook Choi and Yi Luo. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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