Sangjo Shim

963 total citations
8 papers, 796 citations indexed

About

Sangjo Shim is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Biotechnology. According to data from OpenAlex, Sangjo Shim has authored 8 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 5 papers in Electrical and Electronic Engineering and 2 papers in Biotechnology. Recurrent topics in Sangjo Shim's work include Microfluidic and Bio-sensing Technologies (7 papers), Electrical and Bioimpedance Tomography (3 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). Sangjo Shim is often cited by papers focused on Microfluidic and Bio-sensing Technologies (7 papers), Electrical and Bioimpedance Tomography (3 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). Sangjo Shim collaborates with scholars based in United States and South Korea. Sangjo Shim's co-authors include Peter R. C. Gascoyne, Katherine Stemke‐Hale, Jamileh Noshari, Frederick F. Becker, Apostolia M. Tsimberidou, Thomas E. Anderson, Jennifer M. Munson, Rebecca R. Pompano, Alexandra R. Harris and Sung Yang and has published in prestigious journals such as Lab on a Chip, Electrophoresis and Journal of Biomechanical Engineering.

In The Last Decade

Sangjo Shim

8 papers receiving 791 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangjo Shim United States 8 698 216 212 91 84 8 796
Jamileh Noshari United States 11 904 1.3× 328 1.5× 243 1.1× 111 1.2× 136 1.6× 12 1.1k
Tzu-Keng Chiu Taiwan 13 455 0.7× 156 0.7× 116 0.5× 57 0.6× 56 0.7× 15 548
Wujun Zhao United States 14 516 0.7× 127 0.6× 93 0.4× 148 1.6× 16 0.2× 25 688
Hyunju Han South Korea 8 473 0.7× 100 0.5× 366 1.7× 147 1.6× 39 0.5× 10 764
Hui-Sung Moon South Korea 8 657 0.9× 281 1.3× 177 0.8× 84 0.9× 18 0.2× 8 782
Erica D. Pratt United States 9 532 0.8× 69 0.3× 347 1.6× 113 1.2× 30 0.4× 14 747
Alireza Salmanzadeh United States 11 315 0.5× 137 0.6× 32 0.2× 62 0.7× 57 0.7× 15 403
Charles J. Garson United States 11 504 0.7× 136 0.6× 75 0.4× 90 1.0× 13 0.2× 12 567
Mohammad Aghaamoo United States 10 320 0.5× 110 0.5× 30 0.1× 70 0.8× 30 0.4× 14 366
David K. Hasegawa United States 4 273 0.4× 56 0.3× 197 0.9× 43 0.5× 48 0.6× 5 395

Countries citing papers authored by Sangjo Shim

Since Specialization
Citations

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

Fields of papers citing papers by Sangjo Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangjo Shim

This figure shows the co-authorship network connecting the top 25 collaborators of Sangjo Shim. A scholar is included among the top collaborators of Sangjo Shim 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 Sangjo Shim. Sangjo Shim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Shim, Sangjo, et al.. (2019). Two-way communication betweenex vivotissues on a microfluidic chip: application to tumor–lymph node interaction. Lab on a Chip. 19(6). 1013–1026. 84 indexed citations
2.
Shim, Sangjo, Jiwook Shim, William R. Taylor, et al.. (2016). Magnetophoretic-based microfluidic device for DNA Concentration. Biomedical Microdevices. 18(2). 28–28. 8 indexed citations
3.
Gascoyne, Peter R. C. & Sangjo Shim. (2014). Isolation of Circulating Tumor Cells by Dielectrophoresis. Cancers. 6(1). 545–579. 226 indexed citations
4.
Shim, Sangjo, Katherine Stemke‐Hale, Jamileh Noshari, Frederick F. Becker, & Peter R. C. Gascoyne. (2013). Dielectrophoresis has broad applicability to marker-free isolation of tumor cells from blood by microfluidic systems. Biomicrofluidics. 7(1). 11808–11808. 100 indexed citations
5.
Shim, Sangjo, Katherine Stemke‐Hale, Apostolia M. Tsimberidou, et al.. (2013). Antibody-independent isolation of circulating tumor cells by continuous-flow dielectrophoresis. Biomicrofluidics. 7(1). 11807–11807. 177 indexed citations
6.
Gascoyne, Peter R. C., Sangjo Shim, Jamileh Noshari, Frederick F. Becker, & Katherine Stemke‐Hale. (2012). Correlations between the dielectric properties and exterior morphology of cells revealed by dielectrophoretic field‐flow fractionation. Electrophoresis. 34(7). 1042–1050. 139 indexed citations
7.
Shim, Sangjo, Peter R. C. Gascoyne, Jamileh Noshari, & Katherine Stemke‐Hale. (2011). Dynamic physical properties of dissociated tumor cells revealed by dielectrophoretic field-flow fractionation. Integrative Biology. 3(8). 850–850. 53 indexed citations
8.
Shim, Sangjo, et al.. (2010). Dynamic Characterization of Human Breast Cancer Cells Using a Piezoresistive Microcantilever. Journal of Biomechanical Engineering. 132(10). 104501–104501. 9 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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