Sangjin Oh

45 papers receiving 1.3k citations

Peers

Sangjin Oh
Comparison fields: 5 of 152
  • Applied Microbiology and Biotechnology 22
  • Food Science 173
  • Infectious Diseases 151
  • Biomedical Engineering 351
  • Cognitive Neuroscience 140
Replace Tao Yang with:
Tao Yang China
Hyejin Park South Korea
Zeeshan Ahmad Khan South Korea
Weihua Huang United States
Pei‐Ching Chang Taiwan
Shanshan Zhu China
Mi Ae Kim South Korea
Chan Mi Lee South Korea
Yizhou Zhou China
Guopeng Zhang China
Sangjin Oh relative to Tao Yang China Tao Yang's profile →
Citations per field
00.5×3.6×
Tao Yang · 1×
Citations per year

Countries citing papers authored by Sangjin Oh

Since Specialization
Citations

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

Fields of papers citing papers by Sangjin Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006232
2 2004156
3 2018149
4 201482
5 201864
6 200961
7 201861
8 201859
9 202055
10 201752
11 201341
12 202227
13 202125
14 200324
15 201624
16 201418
17 202115
18 201614
19 202114
20 202013

About Sangjin Oh

Sangjin Oh is a scholar working on Molecular Biology, Materials Chemistry, Information Systems, Mechanical Engineering and Ocean Engineering, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Education and Learning Interventions (6 papers), Advanced Nanomaterials in Catalysis (5 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Healthcare Education and Workforce Issues (4 papers), Structural Integrity and Reliability Analysis (3 papers), Psychosocial Factors Impacting Youth (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (22 citations), Food Science (173 citations), Infectious Diseases (151 citations), Biomedical Engineering (351 citations) and Cognitive Neuroscience (140 citations). Sangjin Oh has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jaebeom Lee, Jeonghyo Kim, Argye E. Hillis, Van Tan Tran, Syed Rahin Ahmed, Siyoung Choi, Seung Kyou You, Y. Kim, Sae Hun Kim and Enoch Y. Park. Their work appears in journals such as ACS Applied Materials & Interfaces, Applied Sciences, Molecules and Cells, Journal of Computational Design and Engineering and Scientific Reports.

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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