Sujin Seo

742 total citations
35 papers, 601 citations indexed

About

Sujin Seo is a scholar working on Electronic, Optical and Magnetic Materials, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Sujin Seo has authored 35 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electronic, Optical and Magnetic Materials, 15 papers in Biomedical Engineering and 13 papers in Molecular Biology. Recurrent topics in Sujin Seo's work include Gold and Silver Nanoparticles Synthesis and Applications (10 papers), Plasmonic and Surface Plasmon Research (9 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Sujin Seo is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (10 papers), Plasmonic and Surface Plasmon Research (9 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Sujin Seo collaborates with scholars based in South Korea, United States and China. Sujin Seo's co-authors include Gang Logan Liu, Manas Ranjan Gartia, Te-Wei Chang, Austin Hsiao, Brian T. Cunningham, Tiziana Bond, Anusha Pokhriyal, Gulsim Kulsharova, In Hee Lee and Shim Sung Lee and has published in prestigious journals such as Analytical Chemistry, Chemical Communications and Journal of Agricultural and Food Chemistry.

In The Last Decade

Sujin Seo

35 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sujin Seo South Korea 14 257 229 204 102 98 35 601
Matthew D. McMahon United States 12 234 0.9× 538 2.3× 173 0.8× 61 0.6× 14 0.1× 17 1.1k
Ana Sofia Pina Portugal 15 131 0.5× 526 2.3× 70 0.3× 57 0.6× 18 0.2× 33 782
Dimitra N. Stratis‐Cullum United States 16 431 1.7× 578 2.5× 133 0.7× 142 1.4× 30 0.3× 65 1.1k
Katie A. Edwards United States 20 443 1.7× 696 3.0× 32 0.2× 110 1.1× 38 0.4× 37 1.1k
Woo-Jae Chung South Korea 8 222 0.9× 329 1.4× 62 0.3× 91 0.9× 13 0.1× 8 789
Kohei Yamazaki Japan 17 185 0.7× 253 1.1× 127 0.6× 140 1.4× 41 0.4× 47 807
Yunkun Wu China 14 118 0.5× 136 0.6× 55 0.3× 122 1.2× 93 0.9× 32 540
Charlene M. Mello United States 22 245 1.0× 794 3.5× 32 0.2× 111 1.1× 58 0.6× 36 1.4k
Tracey M. Hinton Australia 19 235 0.9× 660 2.9× 105 0.5× 13 0.1× 33 0.3× 34 1.2k
Riikka Peltomaa Spain 15 446 1.7× 551 2.4× 38 0.2× 196 1.9× 17 0.2× 24 1.2k

Countries citing papers authored by Sujin Seo

Since Specialization
Citations

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

Fields of papers citing papers by Sujin Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujin Seo

This figure shows the co-authorship network connecting the top 25 collaborators of Sujin Seo. A scholar is included among the top collaborators of Sujin Seo 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 Sujin Seo. Sujin Seo 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.
Seo, Sujin, et al.. (2020). Metallosupramolecules of pillar[5]-bis-trithiacrown including a mercury(ii) iodide ion-triplet complex. Chemical Communications. 56(70). 10135–10138. 11 indexed citations
2.
Seo, Sujin, Te-Wei Chang, & Gang Logan Liu. (2018). 3D Plasmon Coupling Assisted Sers on Nanoparticle-Nanocup Array Hybrids. Scientific Reports. 8(1). 3002–3002. 36 indexed citations
3.
4.
Park, In‐Hyeok, Eunji Lee, Huiyeong Ju, et al.. (2017). Snapshot and crystallographic observations of kinetic and thermodynamic products for NO2S2 macrocyclic complexes. IUCrJ. 5(1). 45–53. 3 indexed citations
5.
Lee, Eunji, Sujin Seo, Shim Sung Lee, & Leonard F. Lindoy. (2017). Assembling latter d-block heterometal coordination polymers: Synthetic strategies and structural outcomes. Coordination Chemistry Reviews. 348. 121–170. 19 indexed citations
6.
Seo, Sujin, et al.. (2017). Label-free cell-substrate adhesion imaging on plasmonic nanocup arrays. Biomedical Optics Express. 8(2). 1139–1139. 5 indexed citations
7.
Seo, Sujin, et al.. (2015). Absorbance Amplification Using Chromophore–Nanoplasmon Coupling for Ultrasensitive Protein Quantification. Analytical Chemistry. 87(19). 9710–9714. 3 indexed citations
8.
Seo, Sujin, Manas Ranjan Gartia, & Gang Logan Liu. (2014). Vertically stacked plasmonic nanoparticles in a circular arrangement: a key to colorimetric refractive index sensing. Nanoscale. 6(20). 11795–11802. 8 indexed citations
9.
Gartia, Manas Ranjan, Sujin Seo, Junhwan Kim, et al.. (2014). Injection- Seeded Optoplasmonic Amplifier in the Visible. Scientific Reports. 4(1). 6168–6168. 15 indexed citations
10.
Chang, Te-Wei, Manas Ranjan Gartia, Sujin Seo, Austin Hsiao, & Gang Logan Liu. (2014). A wafer-scale backplane-assisted resonating nanoantenna array SERS device created by tunable thermal dewetting nanofabrication. Nanotechnology. 25(14). 145304–145304. 36 indexed citations
11.
Seo, Sujin, et al.. (2014). Comparison of Surface-Enhanced Raman Spectroscopy on Absorbing and Nonabsorbing Nanostructured Substrates. The Journal of Physical Chemistry C. 118(32). 18693–18699. 5 indexed citations
12.
Gartia, Manas Ranjan, Austin Hsiao, Anusha Pokhriyal, et al.. (2013). Colorimetrics: Colorimetric Plasmon Resonance Imaging Using Nano Lycurgus Cup Arrays (Advanced Optical Materials 1/2013). Advanced Optical Materials. 1(1). 1–1. 6 indexed citations
13.
Lee, In Hee, et al.. (2011). Molecular cloning and characterization of the STAT gene in Hyphantria cunea haemocytes. Insect Molecular Biology. 20(6). 723–732. 2 indexed citations
14.
Jin, Byung Rae, et al.. (2010). Modulation of MnSOD protein in response to different experimental stimulation in Hyphantria cunea. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 157(4). 343–350. 20 indexed citations
15.
Jin, Byung Rae, et al.. (2008). Comparative analysis of two attacin genes from Hyphantria cunea. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 151(2). 213–220. 31 indexed citations
16.
Seo, Sujin, Yongchae Jeong, & J.S. Kenney. (2007). A Modified CMOS Frequency Doubler Considering Delay Time Matching Condition. 392–395. 7 indexed citations
17.
Seo, Sujin, et al.. (2005). Computational Analysis of Apolipophorin-III in Hyphantria cunea. International Journal of Industrial Entomology. 10(1). 25–33. 1 indexed citations
18.
Jang, Woong Sik, et al.. (2004). Purification, cDNA cloning and expression of an insect defensin from the great wax moth, Galleria mellonella. Insect Molecular Biology. 13(1). 65–72. 95 indexed citations
19.
Yun, Chi‐Young, et al.. (2003). Fat body expressed yolk protein genes in Hyphantria cunea are related to the YP4 follicular epithelium yolk protein subunit gene of pyralid moths. Insect Molecular Biology. 12(4). 383–392. 6 indexed citations
20.
Nam, Jae‐Do, et al.. (2003). IN-SITU FORMATION OF GOLD NANOPARTICLE/CONDUCTING POLYMER NANOCOMPOSITES. Molecular Crystals and Liquid Crystals. 407(1). 1–6. 24 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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