Sohee Yoon

468 total citations
24 papers, 372 citations indexed

About

Sohee Yoon is a scholar working on Spectroscopy, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Sohee Yoon has authored 24 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Spectroscopy, 7 papers in Molecular Biology and 7 papers in Computational Mechanics. Recurrent topics in Sohee Yoon's work include Mass Spectrometry Techniques and Applications (10 papers), Ion-surface interactions and analysis (7 papers) and Analytical Chemistry and Chromatography (5 papers). Sohee Yoon is often cited by papers focused on Mass Spectrometry Techniques and Applications (10 papers), Ion-surface interactions and analysis (7 papers) and Analytical Chemistry and Chromatography (5 papers). Sohee Yoon collaborates with scholars based in South Korea, China and United States. Sohee Yoon's co-authors include Tae Geol Lee, Jeong Hee Moon, Hyun Kyong Shon, Shin Hye Kim, Ren Wang, Sang‐Ho Yoo, Cheon‐Seok Park, Bum‐Soo Kim, Jung Hwan Kim and Yonghui Dong and has published in prestigious journals such as Analytical Chemistry, Food Chemistry and Trends in Food Science & Technology.

In The Last Decade

Sohee Yoon

23 papers receiving 366 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sohee Yoon South Korea 12 152 120 92 58 50 24 372
Amandaa K. Brewer United States 8 119 0.8× 104 0.9× 65 0.7× 139 2.4× 52 1.0× 9 348
Areum Lee South Korea 13 136 0.9× 161 1.3× 11 0.1× 81 1.4× 36 0.7× 28 459
G. Bonn Austria 14 100 0.7× 110 0.9× 18 0.2× 285 4.9× 69 1.4× 18 452
Daisuke Nohara Japan 12 71 0.5× 357 3.0× 26 0.3× 40 0.7× 30 0.6× 43 517
Larissa S. Fenn United States 10 538 3.5× 389 3.2× 65 0.7× 50 0.9× 59 1.2× 11 713
Kazuhiro Nakanishi Japan 12 140 0.9× 321 2.7× 11 0.1× 127 2.2× 44 0.9× 17 480
Edgar John Switzerland 15 41 0.3× 198 1.6× 132 1.4× 73 1.3× 26 0.5× 24 657
Iro K. Ventouri Netherlands 6 124 0.8× 117 1.0× 29 0.3× 155 2.7× 23 0.5× 6 339
Abira Pyne United States 14 105 0.7× 331 2.8× 14 0.2× 57 1.0× 26 0.5× 15 788
Ulrich Hintze Germany 14 132 0.9× 214 1.8× 13 0.1× 60 1.0× 20 0.4× 19 556

Countries citing papers authored by Sohee Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Sohee Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sohee Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Sohee Yoon. A scholar is included among the top collaborators of Sohee Yoon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sohee Yoon. Sohee Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Kwon, Kyoung Ja, Chan Young Shin, Ga Seul Lee, et al.. (2023). Investigation of Phospholipid Differences in Valproic Acid-Induced Autistic Mouse Model Brain Using Mass Spectrometry Imaging. Metabolites. 13(2). 178–178. 3 indexed citations
3.
Choi, Jae Won, In Young Kim, Minjeong Kwak, et al.. (2022). Effect of serum protein on cell internalization of silica nanoparticles. Micro & Nano Letters. 17(3). 59–67. 4 indexed citations
4.
Yoon, Sohee, et al.. (2021). Fabrication of inverse opal photonic gel sensors on flexible substrates by transfer process. Lab on a Chip. 21(15). 2997–3003. 13 indexed citations
5.
Lee, Ga Seul, Jeong Hee Moon, Sung Bae Lee, et al.. (2021). Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging of Phospholipid Changes in a Drosophila Model of Early Amyotrophic Lateral Sclerosis. Journal of the American Society for Mass Spectrometry. 32(10). 2536–2545. 9 indexed citations
6.
Son, Jin Gyeong, et al.. (2020). Ar-gas cluster ion beam in ToF-SIMS for peptide and protein analysis. Biointerphases. 15(2). 21011–21011. 13 indexed citations
7.
Yoon, Sohee, et al.. (2020). Electrochromic inverse opal photonic gel containing charged hydrogel in aqueous media for full color reflective display. Journal of Industrial and Engineering Chemistry. 88. 117–126. 10 indexed citations
8.
Lee, Ga Seul, Sung Bae Lee, Jeong Hee Moon, et al.. (2019). Comparison of lipid profiles in head and brain samples of drosophila melanogaster using electrospray ionization mass spectrometry (ESI-MS). KRIBB Repository. 10(1). 11–17. 1 indexed citations
9.
Park, Jong Min, Sang‐Guk Lee, Kyung Soo Chung, et al.. (2019). MALDI-TOF Mass Spectrometry Based on Parylene-Matrix Chip for the Analysis of Lysophosphatidylcholine in Sepsis Patient Sera. Analytical Chemistry. 91(22). 14719–14727. 28 indexed citations
10.
Kim, Dan Bee & Sohee Yoon. (2018). Study of Photocatalytic Nano-Particle Effects on the Low Temperature Plasma Ionization Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 29(12). 2333–2340. 1 indexed citations
11.
Yoon, Sohee & Tae Geol Lee. (2018). Biological tissue sample preparation for time-of-flight secondary ion mass spectrometry (ToF–SIMS) imaging. Nano Convergence. 5(1). 24–24. 48 indexed citations
12.
Shon, Hyun Kyong, Shin Hye Kim, Sohee Yoon, Chan Young Shin, & Tae Geol Lee. (2018). Molecular depth profiling on rat brain tissue sections prepared using different sampling methods. Biointerphases. 13(3). 03B411–03B411. 13 indexed citations
13.
Kim, Shin Hye, Sun Pyo Hong, Woo-Jae Cho, et al.. (2017). Rapid Genotyping of Human Papillomavirus by Desorption Electrospray Ionization Mass Spectrometry. Bulletin of the Korean Chemical Society. 38(6). 603–606. 1 indexed citations
14.
Kim, Shin Hye, Jeongkwon Kim, Young‐Jin Lee, Tae Geol Lee, & Sohee Yoon. (2017). Sample Preparation of Corn Seed Tissue to Prevent Analyte Relocations for Mass Spectrometry Imaging. Journal of the American Society for Mass Spectrometry. 28(8). 1729–1732. 21 indexed citations
15.
Kim, Shin Hye, Jeongkwon Kim, Seunghyun Jo, et al.. (2016). Bacterial analysis by laser desorption ionization mass spectrometry on amorphous silicon. Biointerphases. 11(4). 41008–41008. 6 indexed citations
16.
Yoon, Sohee, et al.. (2016). Use of Commercial MALDI‐TOFs for Analyte Quantification by a Newly Invented Method. Bulletin of the Korean Chemical Society. 37(6). 882–885. 3 indexed citations
17.
Li, Bin, Sage J. B. Dunham, Yonghui Dong, et al.. (2015). Analytical capabilities of mass spectrometry imaging and its potential applications in food science. Trends in Food Science & Technology. 47. 50–63. 40 indexed citations
18.
Lee, Jo‐Won, Sohee Yoon, Y. Martin Lo, et al.. (2015). Intrinsic polyphenol oxidase-like activity of gold@platinum nanoparticles. RSC Advances. 5(78). 63757–63764. 24 indexed citations
19.
Yoon, Sohee, et al.. (2012). Ovarian Teratoma Mimicking Metastasis on I-131 Scan : A Case Report. Nuclear Medicine and Molecular Imaging. 47(1). 52–54. 5 indexed citations
20.
Wang, Ren, Jung Hwan Kim, Bum‐Soo Kim, et al.. (2011). Development of an efficient bioprocess for turanose production by sucrose isomerisation reaction of amylosucrase. Food Chemistry. 132(2). 773–779. 54 indexed citations

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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